Datasets:
librarian-bots
/
dataset_cards_with_metadata

Dataset card Data Studio Files Community
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danigambit/D_ep9_run0_llama2-7b-chat_wikisumm_doc2050_IV_BETA
danigambit
"2024-08-29T05:41:05Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T05:41:01Z"
--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string - name: doc dtype: string splits: - name: train num_bytes: 7227095 num_examples: 2050 download_size: 3051377 dataset_size: 7227095 configs: - config_name: default data_files: - split: train path: data/train-* ---
RedaAlami/PKU-SafeRLHF-Filtered-Split-3-rho-0.5-phi-0.5
RedaAlami
"2024-08-29T06:25:10Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T06:25:08Z"
--- dataset_info: features: - name: prompt dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 6226210 num_examples: 4288 - name: test num_bytes: 680103 num_examples: 471 download_size: 3891326 dataset_size: 6906313 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
Jiban4/split_text_dataset
Jiban4
"2024-08-29T06:33:53Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T06:33:51Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 662362 num_examples: 305 download_size: 187254 dataset_size: 662362 configs: - config_name: default data_files: - split: train path: data/train-* ---
GitBag/rebel_multi_llm_as_user
GitBag
"2024-08-29T06:43:13Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T06:43:12Z"
--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 3188751 num_examples: 500 download_size: 758532 dataset_size: 3188751 configs: - config_name: default data_files: - split: train path: data/train-* ---
slightfx/expresso-ex01-v2
slightfx
"2024-08-29T09:03:40Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T09:03:39Z"
--- dataset_info: features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: string - name: style dtype: string - name: id dtype: string splits: - name: train num_bytes: 1032405.0 num_examples: 3 download_size: 993826 dataset_size: 1032405.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
infinite-dataset-hub/ParaProofCollector
infinite-dataset-hub
"2024-08-29T09:13:36Z"
31
0
[ "license:mit", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "infinite-dataset-hub", "synthetic" ]
null
"2024-08-29T09:13:35Z"
--- license: mit tags: - infinite-dataset-hub - synthetic --- # ParaProofCollector tags: ML, evidence extraction, knowledge discovery _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'ParaProofCollector' dataset is curated for machine learning practitioners aiming to extract evidence from paragraphs for various applications such as knowledge discovery, information retrieval, and sentiment analysis. Each entry in the dataset consists of a paragraph followed by its associated labels, which signify the type of evidence or information that the paragraph provides. The dataset labels are diverse, reflecting different types of knowledge and claims that can be extracted. **CSV Content Preview:** ``` Title,Paragraph,Label "The Health Benefits of Green Tea","Green tea is widely known for its antioxidant properties, which can help reduce the risk of cancer and heart disease. Studies have shown that the catechins in green tea, particularly epigallocatechin gallate (EGCG), can inhibit the growth of cancer cells.",BeneficialFacts "Economic Growth in Emerging Markets","Over the past decade, emerging markets have shown significant economic growth. Factors contributing to this growth include increased foreign investment, improved governance, and a growing middle class.",EconomicTrend "Climate Change Effects on Polar Regions","Recent research indicates that climate change is having a profound effect on polar regions. The loss of ice and snow is not only a visual indicator but also contributes to global sea-level rise.",EnvironmentalImpact "Advancements in AI Technology","AI technology has been advancing rapidly, with recent breakthroughs in natural language processing and machine learning algorithms. These advancements are opening up new possibilities in various fields including healthcare, finance, and autonomous vehicles.",TechnologicalProgress "The Role of Artificial Intelligence in Education","Artificial intelligence is increasingly being used in education to provide personalized learning experiences and improve access to quality education. AI can help in analyzing student data to identify learning patterns and provide targeted support.",EducationalInnovation ``` In the CSV content above, the 'Label' column represents the category or type of evidence the paragraph provides. Each label reflects a specific aspect or claim that can be inferred from the text, suitable for training a machine learning model to recognize and categorize evidence within paragraphs. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=ParaProofCollector&tags=ML,+evidence+extraction,+knowledge+discovery - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
sherstpasha/stackmix_school_notebooks
sherstpasha
"2024-08-29T09:13:42Z"
31
0
[ "license:mit", "region:us" ]
null
"2024-08-29T09:13:42Z"
--- license: mit ---
NASR2004/TakeMeOutAudio1_0to1h
NASR2004
"2024-08-29T10:31:18Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T10:27:52Z"
--- dataset_info: features: - name: audio dtype: string - name: base_text dtype: string - name: finetuned_text dtype: string - name: corrected_base dtype: string - name: corrected_finetuned dtype: string - name: base_whisper_output(base/corrected) dtype: string - name: corrected_text(base/corrected) dtype: string - name: num_errors(base/corrected) dtype: int64 - name: finetuned_whisper_output(finetuned/corrected_finetuned) dtype: string - name: corrected_text(finetuned/corrected_finetuned) dtype: string - name: num_errors(finetuned/corrected_finetuned) dtype: int64 splits: - name: train num_bytes: 343177 num_examples: 2 download_size: 217284 dataset_size: 343177 configs: - config_name: default data_files: - split: train path: data/train-* ---
arunmozhi/GameStockPredict
arunmozhi
"2024-08-29T10:29:05Z"
31
0
[ "license:mit", "size_categories:n<1K", "format:csv", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "openledger-dataset-hub", "synthetic" ]
null
"2024-08-29T10:29:02Z"
--- license: mit tags: - openledger-dataset-hub - synthetic --- # GameStockPredict tags: classification, finance, sports contingency _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The "GameStockPredict" dataset contains historical data from sports contingency events (e.g., fantasy sports leagues) that are relevant to financial investors interested in predicting stock performance based on game outcomes. Each row represents an event with details on the teams or players involved, the outcome of the game, and related financial market data. The dataset is designed for a classification model to predict whether the stock price of a company will rise or fall following a sports event. **CSV Content Preview:** ``` id,team_name,opponent_team,outcome,market_volatility,label 1,Lakers,Clippers,"Won",0.22,Rise 2,Bulls,Bears,"Lost",0.37,Fall 3,Hawks,Knicks,"Draw",0.19,Stable 4,Red Sox,Yankees,"Won",0.27,Rise 5,Falcons,Packers,"Lost",0.42,Fall ``` In this CSV preview, `id` represents a unique identifier for each event, `team_name` and `opponent_team` are the names of the teams or players involved in the event, `outcome` is the result of the sports game (Won, Lost, Draw), `market_volatility` is a numerical indicator of market reaction to the event (possibly derived from a technical analysis of stock price fluctuations), and `label` is the predicted label indicating whether the stock price will rise, fall, or stay stable following the event. The dataset is meant to be used for a binary classification problem. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/arunmozhi/mysyntheticdata) and microsoft/Phi-3-mini-4k-instruct using the query '': - **Dataset Generation Page**: https://huggingface.co/spaces/arunmozhi/mysyntheticdata?q=&dataset=GameStockPredict&tags=classification,+finance,+sports+contingency - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=openledger-dataset-hub
brainvivo/gray_matter_pca_voxels
brainvivo
"2024-08-29T13:01:28Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T13:01:14Z"
--- dataset_info: features: - name: Text dtype: string - name: voxel_1 dtype: float32 - name: voxel_2 dtype: float32 - name: voxel_3 dtype: float32 - name: voxel_4 dtype: float32 - name: voxel_5 dtype: float32 - name: voxel_6 dtype: float32 - name: voxel_7 dtype: float32 - name: voxel_8 dtype: float32 - name: voxel_9 dtype: float32 - name: voxel_10 dtype: float32 - name: voxel_11 dtype: float32 - name: voxel_12 dtype: float32 - name: voxel_13 dtype: float32 - name: voxel_14 dtype: float32 - name: voxel_15 dtype: float32 - name: voxel_16 dtype: float32 - name: voxel_17 dtype: float32 - name: voxel_18 dtype: float32 - name: voxel_19 dtype: float32 - name: voxel_20 dtype: float32 - name: voxel_21 dtype: float32 - name: voxel_22 dtype: float32 - name: voxel_23 dtype: float32 - name: voxel_24 dtype: float32 - name: voxel_25 dtype: float32 - name: voxel_26 dtype: float32 - name: voxel_27 dtype: float32 - name: voxel_28 dtype: float32 - name: voxel_29 dtype: float32 - name: voxel_30 dtype: float32 - name: voxel_31 dtype: float32 - name: voxel_32 dtype: float32 - name: voxel_33 dtype: float32 - name: voxel_34 dtype: float32 - name: voxel_35 dtype: float32 - name: voxel_36 dtype: float32 - name: voxel_37 dtype: float32 - name: voxel_38 dtype: float32 - name: voxel_39 dtype: float32 - name: voxel_40 dtype: float32 - name: voxel_41 dtype: float32 - name: voxel_42 dtype: float32 - name: voxel_43 dtype: float32 - name: voxel_44 dtype: float32 - name: voxel_45 dtype: float32 - name: voxel_46 dtype: float32 - name: voxel_47 dtype: float32 - name: voxel_48 dtype: float32 - name: voxel_49 dtype: float32 - name: voxel_50 dtype: float32 - name: voxel_51 dtype: float32 - name: voxel_52 dtype: float32 - name: voxel_53 dtype: float32 - name: voxel_54 dtype: float32 - name: voxel_55 dtype: float32 - name: voxel_56 dtype: float32 - name: voxel_57 dtype: float32 - name: voxel_58 dtype: float32 - name: voxel_59 dtype: float32 - name: voxel_60 dtype: float32 - name: voxel_61 dtype: float32 - name: voxel_62 dtype: float32 - name: voxel_63 dtype: float32 - name: voxel_64 dtype: float32 - name: voxel_65 dtype: float32 - name: voxel_66 dtype: float32 - name: voxel_67 dtype: float32 - name: voxel_68 dtype: float32 - name: voxel_69 dtype: float32 - name: voxel_70 dtype: float32 - name: voxel_71 dtype: float32 - name: voxel_72 dtype: float32 - name: voxel_73 dtype: float32 - name: voxel_74 dtype: float32 - name: voxel_75 dtype: float32 - name: voxel_76 dtype: float32 - name: voxel_77 dtype: float32 - name: voxel_78 dtype: float32 - name: voxel_79 dtype: float32 - name: voxel_80 dtype: float32 - name: voxel_81 dtype: float32 - name: voxel_82 dtype: float32 - name: voxel_83 dtype: float32 - name: voxel_84 dtype: float32 - name: voxel_85 dtype: float32 - name: voxel_86 dtype: float32 - name: voxel_87 dtype: float32 - name: voxel_88 dtype: float32 - name: voxel_89 dtype: float32 - name: voxel_90 dtype: float32 - name: voxel_91 dtype: float32 - name: voxel_92 dtype: float32 - name: voxel_93 dtype: float32 - name: voxel_94 dtype: float32 - name: voxel_95 dtype: float32 - name: voxel_96 dtype: float32 - name: voxel_97 dtype: float32 - name: voxel_98 dtype: float32 - name: voxel_99 dtype: float32 - name: voxel_100 dtype: float32 - name: voxel_101 dtype: float32 - name: voxel_102 dtype: float32 - name: voxel_103 dtype: float32 - name: voxel_104 dtype: float32 - name: voxel_105 dtype: float32 - name: voxel_106 dtype: float32 - name: voxel_107 dtype: float32 - name: voxel_108 dtype: float32 - name: voxel_109 dtype: float32 - name: voxel_110 dtype: float32 - name: voxel_111 dtype: float32 - name: voxel_112 dtype: float32 - name: voxel_113 dtype: float32 - name: voxel_114 dtype: float32 - name: voxel_115 dtype: float32 - name: voxel_116 dtype: float32 - name: voxel_117 dtype: float32 - name: voxel_118 dtype: float32 - name: voxel_119 dtype: float32 - name: voxel_120 dtype: float32 - name: voxel_121 dtype: float32 - name: voxel_122 dtype: float32 - name: voxel_123 dtype: float32 - name: voxel_124 dtype: float32 - name: voxel_125 dtype: float32 - name: voxel_126 dtype: float32 - name: voxel_127 dtype: float32 - name: voxel_128 dtype: float32 - name: voxel_129 dtype: float32 - name: voxel_130 dtype: float32 - name: voxel_131 dtype: float32 - name: voxel_132 dtype: float32 - name: voxel_133 dtype: float32 - name: voxel_134 dtype: float32 - name: voxel_135 dtype: float32 - name: voxel_136 dtype: float32 - name: voxel_137 dtype: float32 - name: voxel_138 dtype: float32 - name: voxel_139 dtype: float32 - name: voxel_140 dtype: float32 - name: voxel_141 dtype: float32 - name: voxel_142 dtype: float32 - name: voxel_143 dtype: float32 - name: voxel_144 dtype: float32 - name: voxel_145 dtype: float32 - name: voxel_146 dtype: float32 - name: voxel_147 dtype: float32 - name: voxel_148 dtype: float32 - name: voxel_149 dtype: float32 - name: voxel_150 dtype: float32 - name: voxel_151 dtype: float32 - name: voxel_152 dtype: float32 - name: voxel_153 dtype: float32 - name: voxel_154 dtype: float32 - name: voxel_155 dtype: float32 - name: voxel_156 dtype: float32 - name: voxel_157 dtype: float32 - name: voxel_158 dtype: float32 - name: voxel_159 dtype: float32 - name: voxel_160 dtype: float32 - name: voxel_161 dtype: float32 - name: voxel_162 dtype: float32 - name: voxel_163 dtype: float32 - name: voxel_164 dtype: float32 - name: voxel_165 dtype: float32 - name: voxel_166 dtype: float32 - name: voxel_167 dtype: float32 - name: voxel_168 dtype: float32 - name: voxel_169 dtype: float32 - name: voxel_170 dtype: float32 - name: voxel_171 dtype: float32 splits: - name: train num_bytes: 151809 num_examples: 202 - name: test num_bytes: 37507 num_examples: 50 download_size: 387153 dataset_size: 189316 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
brainvivo/gray_matter_pca_voxels_bar_description
brainvivo
"2024-08-29T13:03:28Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T13:03:12Z"
--- dataset_info: features: - name: Text dtype: string - name: voxel_1 dtype: float32 - name: voxel_2 dtype: float32 - name: voxel_3 dtype: float32 - name: voxel_4 dtype: float32 - name: voxel_5 dtype: float32 - name: voxel_6 dtype: float32 - name: voxel_7 dtype: float32 - name: voxel_8 dtype: float32 - name: voxel_9 dtype: float32 - name: voxel_10 dtype: float32 - name: voxel_11 dtype: float32 - name: voxel_12 dtype: float32 - name: voxel_13 dtype: float32 - name: voxel_14 dtype: float32 - name: voxel_15 dtype: float32 - name: voxel_16 dtype: float32 - name: voxel_17 dtype: float32 - name: voxel_18 dtype: float32 - name: voxel_19 dtype: float32 - name: voxel_20 dtype: float32 - name: voxel_21 dtype: float32 - name: voxel_22 dtype: float32 - name: voxel_23 dtype: float32 - name: voxel_24 dtype: float32 - name: voxel_25 dtype: float32 - name: voxel_26 dtype: float32 - name: voxel_27 dtype: float32 - name: voxel_28 dtype: float32 - name: voxel_29 dtype: float32 - name: voxel_30 dtype: float32 - name: voxel_31 dtype: float32 - name: voxel_32 dtype: float32 - name: voxel_33 dtype: float32 - name: voxel_34 dtype: float32 - name: voxel_35 dtype: float32 - name: voxel_36 dtype: float32 - name: voxel_37 dtype: float32 - name: voxel_38 dtype: float32 - name: voxel_39 dtype: float32 - name: voxel_40 dtype: float32 - name: voxel_41 dtype: float32 - name: voxel_42 dtype: float32 - name: voxel_43 dtype: float32 - name: voxel_44 dtype: float32 - name: voxel_45 dtype: float32 - name: voxel_46 dtype: float32 - name: voxel_47 dtype: float32 - name: voxel_48 dtype: float32 - name: voxel_49 dtype: float32 - name: voxel_50 dtype: float32 - name: voxel_51 dtype: float32 - name: voxel_52 dtype: float32 - name: voxel_53 dtype: float32 - name: voxel_54 dtype: float32 - name: voxel_55 dtype: float32 - name: voxel_56 dtype: float32 - name: voxel_57 dtype: float32 - name: voxel_58 dtype: float32 - name: voxel_59 dtype: float32 - name: voxel_60 dtype: float32 - name: voxel_61 dtype: float32 - name: voxel_62 dtype: float32 - name: voxel_63 dtype: float32 - name: voxel_64 dtype: float32 - name: voxel_65 dtype: float32 - name: voxel_66 dtype: float32 - name: voxel_67 dtype: float32 - name: voxel_68 dtype: float32 - name: voxel_69 dtype: float32 - name: voxel_70 dtype: float32 - name: voxel_71 dtype: float32 - name: voxel_72 dtype: float32 - name: voxel_73 dtype: float32 - name: voxel_74 dtype: float32 - name: voxel_75 dtype: float32 - name: voxel_76 dtype: float32 - name: voxel_77 dtype: float32 - name: voxel_78 dtype: float32 - name: voxel_79 dtype: float32 - name: voxel_80 dtype: float32 - name: voxel_81 dtype: float32 - name: voxel_82 dtype: float32 - name: voxel_83 dtype: float32 - name: voxel_84 dtype: float32 - name: voxel_85 dtype: float32 - name: voxel_86 dtype: float32 - name: voxel_87 dtype: float32 - name: voxel_88 dtype: float32 - name: voxel_89 dtype: float32 - name: voxel_90 dtype: float32 - name: voxel_91 dtype: float32 - name: voxel_92 dtype: float32 - name: voxel_93 dtype: float32 - name: voxel_94 dtype: float32 - name: voxel_95 dtype: float32 - name: voxel_96 dtype: float32 - name: voxel_97 dtype: float32 - name: voxel_98 dtype: float32 - name: voxel_99 dtype: float32 - name: voxel_100 dtype: float32 - name: voxel_101 dtype: float32 - name: voxel_102 dtype: float32 - name: voxel_103 dtype: float32 - name: voxel_104 dtype: float32 - name: voxel_105 dtype: float32 - name: voxel_106 dtype: float32 - name: voxel_107 dtype: float32 - name: voxel_108 dtype: float32 - name: voxel_109 dtype: float32 - name: voxel_110 dtype: float32 - name: voxel_111 dtype: float32 - name: voxel_112 dtype: float32 - name: voxel_113 dtype: float32 - name: voxel_114 dtype: float32 - name: voxel_115 dtype: float32 - name: voxel_116 dtype: float32 - name: voxel_117 dtype: float32 - name: voxel_118 dtype: float32 - name: voxel_119 dtype: float32 - name: voxel_120 dtype: float32 - name: voxel_121 dtype: float32 - name: voxel_122 dtype: float32 - name: voxel_123 dtype: float32 - name: voxel_124 dtype: float32 - name: voxel_125 dtype: float32 - name: voxel_126 dtype: float32 - name: voxel_127 dtype: float32 - name: voxel_128 dtype: float32 - name: voxel_129 dtype: float32 - name: voxel_130 dtype: float32 - name: voxel_131 dtype: float32 - name: voxel_132 dtype: float32 - name: voxel_133 dtype: float32 - name: voxel_134 dtype: float32 - name: voxel_135 dtype: float32 - name: voxel_136 dtype: float32 - name: voxel_137 dtype: float32 - name: voxel_138 dtype: float32 - name: voxel_139 dtype: float32 - name: voxel_140 dtype: float32 - name: voxel_141 dtype: float32 - name: voxel_142 dtype: float32 - name: voxel_143 dtype: float32 - name: voxel_144 dtype: float32 - name: voxel_145 dtype: float32 - name: voxel_146 dtype: float32 - name: voxel_147 dtype: float32 - name: voxel_148 dtype: float32 - name: voxel_149 dtype: float32 - name: voxel_150 dtype: float32 - name: voxel_151 dtype: float32 - name: voxel_152 dtype: float32 - name: voxel_153 dtype: float32 - name: voxel_154 dtype: float32 - name: voxel_155 dtype: float32 - name: voxel_156 dtype: float32 - name: voxel_157 dtype: float32 - name: voxel_158 dtype: float32 - name: voxel_159 dtype: float32 - name: voxel_160 dtype: float32 - name: voxel_161 dtype: float32 - name: voxel_162 dtype: float32 - name: voxel_163 dtype: float32 - name: voxel_164 dtype: float32 - name: voxel_165 dtype: float32 - name: voxel_166 dtype: float32 - name: voxel_167 dtype: float32 - name: voxel_168 dtype: float32 - name: voxel_169 dtype: float32 - name: voxel_170 dtype: float32 - name: voxel_171 dtype: float32 splits: - name: train num_bytes: 151350 num_examples: 202 - name: test num_bytes: 37672 num_examples: 50 download_size: 387340 dataset_size: 189022 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
neoneye/simon-arc-solve-ray-v4
neoneye
"2024-08-29T13:22:51Z"
31
0
[ "task_categories:image-to-text", "task_categories:text-to-image", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "image-to-text", "text-to-image" ]
"2024-08-29T13:21:42Z"
--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve ray version 4 size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the lonely pixels emit rays in multiple directions. example count: 2-4. test count: 1-2. image size: 5-10. number of lonely pixels: 1. # Version 2 image size: 5-15. number of lonely pixels: 1. # Version 3 image size: 5-20. number of lonely pixels: 1-3. # Version 4 image size: 5-15. number of lonely pixels: 1-4.
OpenVideo/framefromvideo
OpenVideo
"2024-08-29T13:57:32Z"
31
0
[ "license:cc-by-4.0", "region:us" ]
null
"2024-08-29T13:57:32Z"
--- license: cc-by-4.0 ---
deerfieldgreen/fx-sentiment-gbpusd-combined-30min
deerfieldgreen
"2024-08-29T15:45:54Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T15:45:50Z"
--- dataset_info: features: - name: Window dtype: string - name: Art_count dtype: float64 - name: Art_sum dtype: float64 - name: Art_average dtype: float64 - name: Art_median dtype: float64 - name: delta_Art_count dtype: float64 - name: delta_Art_sum dtype: float64 - name: delta_Art_average dtype: float64 - name: delta_Art_median dtype: float64 - name: Art_count_change dtype: float64 - name: Art_sum_change dtype: float64 - name: Art_average_change dtype: float64 - name: Art_median_change dtype: float64 - name: Pair dtype: string - name: ADX count dtype: float64 - name: ADX sum dtype: float64 - name: DEMA count dtype: float64 - name: DEMA sum dtype: float64 - name: EMA count dtype: float64 - name: EMA sum dtype: float64 - name: SMA count dtype: float64 - name: SMA sum dtype: float64 - name: SD count dtype: float64 - name: SD sum dtype: float64 - name: TEMA count dtype: float64 - name: TEMA sum dtype: float64 - name: Williams count dtype: float64 - name: Williams sum dtype: float64 - name: WMA count dtype: float64 - name: WMA sum dtype: float64 splits: - name: train num_bytes: 4450118 num_examples: 17282 download_size: 1629664 dataset_size: 4450118 configs: - config_name: default data_files: - split: train path: data/train-* ---
deerfieldgreen/fx-sentiment-usdjpy-combined-30min
deerfieldgreen
"2024-08-29T15:46:09Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T15:46:05Z"
--- dataset_info: features: - name: Window dtype: string - name: Art_count dtype: float64 - name: Art_sum dtype: float64 - name: Art_average dtype: float64 - name: Art_median dtype: float64 - name: delta_Art_count dtype: float64 - name: delta_Art_sum dtype: float64 - name: delta_Art_average dtype: float64 - name: delta_Art_median dtype: float64 - name: Art_count_change dtype: float64 - name: Art_sum_change dtype: float64 - name: Art_average_change dtype: float64 - name: Art_median_change dtype: float64 - name: Pair dtype: string - name: ADX count dtype: float64 - name: ADX sum dtype: float64 - name: DEMA count dtype: float64 - name: DEMA sum dtype: float64 - name: EMA count dtype: float64 - name: EMA sum dtype: float64 - name: SMA count dtype: float64 - name: SMA sum dtype: float64 - name: SD count dtype: float64 - name: SD sum dtype: float64 - name: TEMA count dtype: float64 - name: TEMA sum dtype: float64 - name: Williams count dtype: float64 - name: Williams sum dtype: float64 - name: WMA count dtype: float64 - name: WMA sum dtype: float64 splits: - name: train num_bytes: 4435955 num_examples: 17227 download_size: 1599921 dataset_size: 4435955 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/total_data_to_train
Slim205
"2024-08-29T16:48:33Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T16:43:56Z"
--- dataset_info: features: - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 178330501 num_examples: 186027 download_size: 84146411 dataset_size: 178330501 configs: - config_name: default data_files: - split: train path: data/train-* ---
ai2-adapt-dev/UltraInteract_pair_maxlen_Logic
ai2-adapt-dev
"2024-08-29T17:34:48Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T17:34:47Z"
--- dataset_info: features: - name: task dtype: string - name: dataset dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: id dtype: string - name: parent_id dtype: string - name: length dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 43917290 num_examples: 5726 download_size: 16340212 dataset_size: 43917290 configs: - config_name: default data_files: - split: train path: data/train-* ---
faavalos94/fashion_image_caption-100-v2
faavalos94
"2024-09-03T03:17:45Z"
31
0
[ "language:en", "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T17:39:41Z"
--- language: - en dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 22820471.0 num_examples: 100 download_size: 22820375 dataset_size: 22820471.0 --- # Dataset Card for "fashion_image_caption-100-v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
papermoon98/comment_toxicity
papermoon98
"2024-08-29T18:58:07Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T18:58:05Z"
--- dataset_info: features: - name: formatted_text dtype: string - name: toxicity_labels struct: - name: identity_hate dtype: int64 - name: insult dtype: int64 - name: obscene dtype: int64 - name: severe_toxic dtype: int64 - name: threat dtype: int64 - name: toxic dtype: int64 splits: - name: train num_bytes: 4796364 num_examples: 10001 download_size: 2634865 dataset_size: 4796364 configs: - config_name: default data_files: - split: train path: data/train-* ---
Khushdholi/Cosmopedia
Khushdholi
"2024-08-29T19:41:26Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T19:37:09Z"
--- dataset_info: features: - name: instruction dtype: string - name: token_length dtype: int64 - name: system_prompt dtype: string splits: - name: train num_bytes: 21660 num_examples: 5 download_size: 26051 dataset_size: 21660 configs: - config_name: default data_files: - split: train path: data/train-* ---
gberseth/mini-bridge-test2
gberseth
"2024-08-29T20:22:50Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "modality:timeseries", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T20:22:49Z"
--- dataset_info: features: - name: img sequence: sequence: sequence: uint8 - name: action sequence: float32 - name: rotation_delta sequence: float32 - name: open_gripper dtype: float32 - name: goal dtype: string - name: goal_img sequence: sequence: sequence: uint8 splits: - name: train num_bytes: 2201758 num_examples: 38 download_size: 793026 dataset_size: 2201758 configs: - config_name: default data_files: - split: train path: data/train-* ---
neoneye/simon-arc-combine-v114
neoneye
"2024-08-29T21:59:37Z"
31
0
[ "task_categories:image-to-text", "task_categories:text-to-image", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "image-to-text", "text-to-image" ]
"2024-08-29T21:54:41Z"
--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 114 size_categories: - 100K<n<1M configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 A combination of multiple datasets. Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`. # Version 2 Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`. # Version 3 Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`. # Version 4 Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future. My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data. Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`. # Version 5 Different random seed. # Version 6 Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`. # Version 7 Using `SIMON-SOLVE-V1` everywhere. # Version 8 Same settings. Different seed as usual. # Version 9 Switching from context length 256 to context length 512. Increasing the image sizes so the prompt length stays below 512. `dataset_solve_color`, image size: 1-13. `dataset_solve_rotate`, image size: 1-9. `dataset_solve_translate`, image size: 3-9. # Version 10 Same settings. Different seed as usual. # Version 11 Same settings. Different seed as usual. # Version 12 Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples. # Version 13 Same settings. Different seed as usual. # Version 14 Same settings. Different seed as usual. # Version 15 Same settings. Different seed as usual. # Version 16 Added `Predict the output image.` Disabled prediction of rows. Disabled prediction of height. # Verison 17 Same settings. Different seed as usual. Using the `DatasetGenerator` and the `DatasetItemListBuilder`. # Verison 18 Added datasets. Datasets: - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` - `dataset_cellular_automaton.jsonl` - added. - `dataset_shape.jsonl` - added. # Verison 19 Added dataset. Datasets: - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` - `dataset_cellular_automaton.jsonl` - `dataset_shape.jsonl` - `dataset_image.jsonl` - added. # Verison 20 Bigger images. # Verison 21 Added dataset. Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_shape.jsonl` - `dataset_mass.jsonl` - added. # Verison 22 Added dataset. Datasets: - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` - `dataset_cellular_automaton.jsonl` - `dataset_shape.jsonl` - `dataset_image.jsonl` - `dataset_mass.jsonl` - `dataset_histogram.jsonl` - added. Bigger image sizes. Number of rows=200k. Was previously 100k rows. # Verison 23 `datset_mass.jsonl`. increased to `max_mass=5`. # Verison 24 `datset_mass.jsonl`. increased to `max_mass=6`. # Verison 25 different seed. # Verison 26 `datset_mass.jsonl`. increased to `max_mass=25`. different seed. # Verison 27 different seed. # Verison 28 different seed. # Verison 29 different seed. # Verison 30 different seed. # Verison 31 different seed. # Verison 32 different seed. # Verison 33 Disabled some dataset. Datasets: - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_mass.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - disabled - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_translate.jsonl` - disabled - `dataset_cellular_automaton.jsonl` # Verison 34 Enabled all datasets. # Version 35 Regenerated all datasets with new random seeds. # Verison 36 Added dataset `dataset_scale.jsonl`. Disabled some dataset. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` # Verison 37 Enabled all datasets Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` # Verison 38 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - added # Version 39 Regenerated all datasets with new random seeds. # Version 40 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - added - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 41 Regenerated all datasets with new random seeds. # Version 42 Added dataset. Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - added - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 43 Enabled all datasets. # Version 44 Regenerated all datasets with new random seeds. # Version 45 Extended the `dataset_shape.jsonl` with these new `PixelConnectivity` types: `CORNER4`, `LR2`, `TB2`, `TLBR2`, `TRBL2`. Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment. # Version 46 Regenerated all datasets with new random seeds. # Version 47 Added dataset. Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - added - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 48 Enabled all datasets. # Version 49 Bigger `max_mass`. From 6 to 8. # Version 50 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - added - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 51 Regenerated all datasets with new random seeds. # Version 52 Regenerated all datasets with new random seeds. # Version 53 Regenerated all datasets with new random seeds. # Version 54 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_erotion.jsonl` - added - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 55 Added dataset. Disabled most datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - added - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - disabled - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_scale.jsonl` - disabled - `dataset_solve_symmetry.jsonl` - disabled - `dataset_solve_translate.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 56 Enabled all datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 57 Regenerated all datasets with new random seeds. # Version 58 Disabled most datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 59 Added new datasets. Disabled most datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - added - `dataset_solve_fractal.jsonl` - added - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 60 Incremented random seed Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 61 Enabled all datasets. More padding inside the `dataset_solve_fractal.jsonl`. # Version 62 All datasets still enabled. Turning up the parameter for `dataset_solve_fractal.jsonl`. scale_input from 3 to 4. scale_output from 3 to 4. max_image_size from 3 to 4. max_pad_count from 4 to 5. # Version 63 Disabled several datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - disabled - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_scale.jsonl` - disabled - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 64 Added dataset. Increased the number of rows in the jsonl file from 200k to 300k. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_outline.jsonl` - added - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` # Version 65 random seed. # Version 66 Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - disabled - `dataset_solve_erosion.jsonl` - disabled - `dataset_solve_fractal.jsonl` - disabled - `dataset_solve_outline.jsonl` - disabled - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_scale.jsonl` - disabled - `dataset_solve_symmetry.jsonl` - disabled - `dataset_solve_translate.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 67 Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - enabled - `dataset_solve_compress.jsonl` - enabled - `dataset_solve_erosion.jsonl` - enabled - `dataset_solve_fractal.jsonl` - enabled - `dataset_solve_outline.jsonl` - enabled - `dataset_solve_rotate.jsonl` - enabled - `dataset_solve_scale.jsonl` - enabled - `dataset_solve_symmetry.jsonl` - enabled - `dataset_solve_translate.jsonl` - enabled - `dataset_symmetry.jsonl` # Version 68 Enabled all datasets. # Version 69 Different random seed. # Version 70 Different random seed. # Version 71 Different random seed. # Version 72 Different random seed. # Version 73 Different random seed. # Version 74 Major update to `dataset_solve_symmetry.jsonl`. # Version 75 Different random seed. # Version 76 Disabled some datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 77 Enabled all datasets. # Version 78 Major update to `dataset_solve_symmetry.jsonl`. # Version 79 Different random seed. # Version 80 Different random seed. # Version 81 Different random seed. # Version 82 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - added - `dataset_symmetry.jsonl` # Version 83 Disabled datasets that doesn't solve ARC puzzles. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 84 Added dataset `dataset_solve_grid.jsonl`. Disabled datasets that doesn't solve ARC puzzles. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - added - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 85 Disabled datasets that doesn't solve ARC puzzles. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 86 Enabled all datasets. # Version 87 Disabled datasets that doesn't solve ARC puzzles. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 88 Added dataset `dataset_solve_probecolor.jsonl` with all directions enabled. Disabled datasets that doesn't solve ARC puzzles. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 89 Enabled all datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 90 Disabled some of the datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - disabled - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - disabled - `dataset_solve_outline.jsonl` - disabled - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - disabled - `dataset_solve_zindex.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 91 Added dataset. Enabled all datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_mass.jsonl` - added - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 92 Different random seed. # Version 93 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - added - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 94 Added dataset. Disabled datasets that doesn't solve ARC tasks. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - added - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 95 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - added - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 96 Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - major update. - `dataset_symmetry.jsonl` # Version 97 Disabled the first half of the datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_bool.jsonl` - disabled - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - disabled - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 98 Disabled the last half of the datasets. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - disabled - `dataset_solve_erosion.jsonl` - disabled - `dataset_solve_fractal.jsonl` - disabled - `dataset_solve_grid.jsonl` - disabled - `dataset_solve_half.jsonl` - disabled - `dataset_solve_mass.jsonl` - disabled - `dataset_solve_outline.jsonl` - disabled - `dataset_solve_probecolor.jsonl` - disabled - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_scale.jsonl` - disabled - `dataset_solve_symmetry.jsonl` - disabled - `dataset_solve_translate.jsonl` - disabled - `dataset_solve_zindex.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 99 Disabled the 1/4th of the datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_bool.jsonl` - disabled - `dataset_solve_color.jsonl` - disabled - `dataset_solve_compress.jsonl` - disabled - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - disabled - `dataset_solve_rotate.jsonl` - disabled - `dataset_solve_scale.jsonl` - disabled - `dataset_solve_symmetry.jsonl` - disabled - `dataset_solve_translate.jsonl` - disabled - `dataset_solve_zindex.jsonl` - disabled - `dataset_symmetry.jsonl` - disabled # Version 100 Added dataset. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - added - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 101 Disabled the non solving datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_bool.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 102 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - added - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 103 Different random seed. # Version 104 Disabled the non solving datasets. Datasets: - `dataset_cellular_automaton.jsonl` - disabled - `dataset_dilation.jsonl` - disabled - `dataset_erotion.jsonl` - disabled - `dataset_histogram.jsonl` - disabled - `dataset_image.jsonl` - disabled - `dataset_image_pair.jsonl` - disabled - `dataset_mass.jsonl` - disabled - `dataset_scale.jsonl` - disabled - `dataset_shape.jsonl` - disabled - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` - disabled # Version 105 Major update to `dataset_solve_scale.jsonl` with scaling down noisy images. Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - scale down noisy images - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 106 Different random seed. # Version 107 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_ray.jsonl` - added - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 108 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_flip.jsonl` - added - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_ray.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 109 Different random seed. # Version 110 Added dataset Datasets: - `dataset_cellular_automaton.jsonl` - `dataset_dilation.jsonl` - `dataset_erotion.jsonl` - `dataset_histogram.jsonl` - `dataset_image.jsonl` - `dataset_image_pair.jsonl` - `dataset_mass.jsonl` - `dataset_scale.jsonl` - `dataset_shape.jsonl` - `dataset_solve_bool.jsonl` - `dataset_solve_boundingbox.jsonl` - `dataset_solve_color.jsonl` - `dataset_solve_compress.jsonl` - `dataset_solve_edge.jsonl` - `dataset_solve_erosion.jsonl` - `dataset_solve_flip.jsonl` - `dataset_solve_fractal.jsonl` - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_halfplane.jsonl` - added - `dataset_solve_mask.jsonl` - `dataset_solve_mass.jsonl` - `dataset_solve_outline.jsonl` - `dataset_solve_probecolor.jsonl` - `dataset_solve_ray.jsonl` - `dataset_solve_rotate.jsonl` - `dataset_solve_scale.jsonl` - `dataset_solve_symmetry.jsonl` - `dataset_solve_translate.jsonl` - `dataset_solve_zindex.jsonl` - `dataset_symmetry.jsonl` # Version 111 Different random seed. # Version 112 Different random seed. # Version 113 Different random seed. # Version 114 Major update to the `dataset_solve-mass.jsonl`, so it now includes `mass_compare_adjacent_rows` and `mass_compare_adjacent_columns`.
jganzabalseenka/Nota_2024-08-28T20_24hs
jganzabalseenka
"2024-08-29T23:39:00Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-29T23:38:53Z"
--- dataset_info: features: - name: asset_id dtype: int64 - name: title_ch dtype: string - name: Asset Destination dtype: string - name: media dtype: string - name: impact dtype: int64 - name: start_time_utc dtype: timestamp[ns] - name: start_time_local dtype: timestamp[ns] - name: entities_curated sequence: string - name: entities sequence: string - name: predicted_at_entities dtype: timestamp[ns] - name: entities_raw_transformers list: - name: entities list: - name: end dtype: int64 - name: entity_group dtype: string - name: score dtype: float64 - name: start dtype: int64 - name: word dtype: string - name: text dtype: string - name: entities_transformers sequence: string - name: keywords sequence: string - name: predicted_at_keywords dtype: timestamp[ns] - name: title dtype: string - name: text dtype: string - name: predicted_at_text dtype: timestamp[us, tz=UTC] - name: truncated_text dtype: string - name: title_and_text dtype: string - name: prediction_delay_predictions dtype: float64 - name: prediction_delay dtype: float64 splits: - name: train num_bytes: 263245385 num_examples: 23502 download_size: 140594982 dataset_size: 263245385 configs: - config_name: default data_files: - split: train path: data/train-* ---
WhiteGiverPlus/Extracted_QA_ann0828_category_subcategory_with_proof
WhiteGiverPlus
"2024-08-30T03:32:45Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T03:32:41Z"
--- dataset_info: features: - name: text dtype: string - name: book_name dtype: string - name: question dtype: string - name: proof dtype: string - name: category_id dtype: string - name: subcategory_id dtype: string - name: category_name dtype: string - name: subcategory_name dtype: string splits: - name: train num_bytes: 845453 num_examples: 200 download_size: 382932 dataset_size: 845453 configs: - config_name: default data_files: - split: train path: data/train-* ---
olivernan/HKSI-LE
olivernan
"2024-09-06T09:37:11Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T05:04:41Z"
--- dataset_info: features: - name: language dtype: string - name: country dtype: string - name: category_en dtype: string - name: file_name dtype: string - name: license dtype: string - name: category_original_lang dtype: string - name: level dtype: string - name: source dtype: string - name: question dtype: string - name: options sequence: string - name: original_question_num dtype: int64 - name: answer dtype: string splits: - name: test num_bytes: 306156 num_examples: 410 download_size: 90692 dataset_size: 306156 configs: - config_name: default data_files: - split: test path: data/test-* --- # Dataset Card for "HKSI-LE" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hiteshagarwal/jenny-tts-tags-v1
hiteshagarwal
"2024-08-30T09:12:01Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T05:56:14Z"
--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string - name: transcription_normalised dtype: string - name: utterance_pitch_mean dtype: float32 - name: utterance_pitch_std dtype: float32 - name: snr dtype: float64 - name: c50 dtype: float64 - name: speaking_rate_phn dtype: string - name: speaking_rate_txt dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 - name: noise dtype: string - name: reverberation dtype: string - name: speech_monotony dtype: string - name: sdr_noise dtype: string - name: pesq_speech_quality dtype: string splits: - name: train num_bytes: 7635575 num_examples: 20978 download_size: 3391479 dataset_size: 7635575 configs: - config_name: default data_files: - split: train path: data/train-* ---
Epic3123/100k_I_hate_you_dataset
Epic3123
"2024-08-30T08:59:32Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T08:59:27Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 31895198 num_examples: 100000 download_size: 15489221 dataset_size: 31895198 configs: - config_name: default data_files: - split: train path: data/train-* ---
SammSam/lessons
SammSam
"2024-08-30T17:27:53Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T10:15:06Z"
--- dataset_info: features: - name: category dtype: string - name: sub_category dtype: string - name: course_title dtype: string - name: course_description dtype: string - name: lesson_title dtype: string - name: lesson_content dtype: string splits: - name: train num_bytes: 87131 num_examples: 171 download_size: 41978 dataset_size: 87131 configs: - config_name: default data_files: - split: train path: data/train-* ---
ashoknepalisme/ashok_12
ashoknepalisme
"2024-08-30T11:01:25Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T11:01:22Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answer dtype: string - name: rejected_answers sequence: string - name: accepted_answers sequence: string - name: page_number dtype: int64 - name: extra_instructions dtype: string splits: - name: train num_bytes: 45984 num_examples: 65 download_size: 31771 dataset_size: 45984 configs: - config_name: default data_files: - split: train path: data/train-* ---
dpanangian/s2-sr-control-net
dpanangian
"2024-08-30T14:07:15Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T12:21:40Z"
--- dataset_info: features: - name: image dtype: image - name: text dtype: string - name: conditioning_image dtype: image splits: - name: train num_bytes: 968856686.452 num_examples: 4439 download_size: 959563737 dataset_size: 968856686.452 configs: - config_name: default data_files: - split: train path: data/train-* ---
KathirKs/CC-MAIN-2015-22_row_wise_20240830_134357
KathirKs
"2024-08-30T13:45:01Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T13:43:57Z"
--- dataset_info: features: - name: text sequence: string - name: uuid dtype: string - name: meta_data struct: - name: dump dtype: string - name: file_path dtype: string - name: id dtype: string - name: url dtype: string splits: - name: train num_bytes: 4088036522 num_examples: 315858 download_size: 1538824459 dataset_size: 4088036522 configs: - config_name: default data_files: - split: train path: data/train-* ---
KathirKs/CC-MAIN-2015-35_row_wise_20240830_135207
KathirKs
"2024-08-30T13:55:56Z"
31
0
[ "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T13:52:08Z"
--- dataset_info: features: - name: text sequence: string - name: uuid dtype: string - name: meta_data struct: - name: dump dtype: string - name: file_path dtype: string - name: id dtype: string - name: url dtype: string splits: - name: train num_bytes: 20324477391 num_examples: 1580454 download_size: 7654160447 dataset_size: 20324477391 configs: - config_name: default data_files: - split: train path: data/train-* ---
RazaanRR/ulab_dataset_initial
RazaanRR
"2024-09-02T18:22:34Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T16:47:06Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 109840 num_examples: 218 download_size: 48059 dataset_size: 109840 configs: - config_name: default data_files: - split: train path: data/train-* ---
IraGia/Borehole_Geophysics
IraGia
"2024-09-02T09:57:35Z"
31
0
[ "license:unknown", "size_categories:1K<n<10K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T19:37:26Z"
--- license: unknown ---
Self-GRIT/tulu-v2-sft-mixture-first-stage-classifier
Self-GRIT
"2024-09-01T01:38:41Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T22:22:40Z"
--- dataset_info: features: - name: dataset dtype: string - name: id dtype: string - name: messages list: - name: role dtype: string - name: content dtype: string - name: first_stage_prompt dtype: string - name: len_messages_user_assistant dtype: int64 splits: - name: train num_bytes: 2811732685.0 num_examples: 326154 download_size: 964885397 dataset_size: 2811732685.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Self-GRIT/tulu-v2-sft-mixture-first-stage-classifier-outputs
Self-GRIT
"2024-09-01T04:56:34Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-30T22:49:04Z"
--- dataset_info: features: - name: dataset dtype: string - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: first_stage_prompt dtype: string - name: len_messages_user_assistant dtype: int64 - name: completion dtype: string - name: token_length dtype: int64 - name: failed dtype: int64 splits: - name: train num_bytes: 3024106707 num_examples: 326154 download_size: 1030277352 dataset_size: 3024106707 configs: - config_name: default data_files: - split: train path: data/train-* ---
TianqiLiuAI/pair_preference_model_dataset_add_prefix_to_win_rate0.1_rrm_post_inference_500kto1m
TianqiLiuAI
"2024-08-31T00:17:11Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T00:16:54Z"
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: prob_A dtype: float64 splits: - name: train num_bytes: 1495977695 num_examples: 500000 download_size: 337220722 dataset_size: 1495977695 configs: - config_name: default data_files: - split: train path: data/train-* ---
1998rajdeo/gemma_csv_finetuning
1998rajdeo
"2024-08-31T04:26:09Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T04:26:07Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 79229 num_examples: 22 download_size: 28821 dataset_size: 79229 configs: - config_name: default data_files: - split: train path: data/train-* ---
kunkin2024ai/customhkcode2
kunkin2024ai
"2024-08-31T06:20:26Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T06:13:16Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7786 num_examples: 32 download_size: 4172 dataset_size: 7786 configs: - config_name: default data_files: - split: train path: data/train-* ---
zeeshanparvez/jenny-tts-3h
zeeshanparvez
"2024-08-31T07:16:59Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T07:16:14Z"
--- dataset_info: features: - name: file_name dtype: string - name: transcription_normalised dtype: string - name: audio dtype: audio: sampling_rate: 48000 splits: - name: train num_bytes: 984784564.396 num_examples: 1676 download_size: 1002222902 dataset_size: 984784564.396 configs: - config_name: default data_files: - split: train path: data/train-* ---
bernardo99/ric1_squad
bernardo99
"2024-08-31T09:56:34Z"
31
0
[ "license:mit", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T09:08:49Z"
--- license: mit ---
YeonJun99/storedata_eng
YeonJun99
"2024-08-31T09:13:24Z"
31
0
[ "license:mit", "region:us" ]
null
"2024-08-31T09:13:24Z"
--- license: mit ---
oda-99/test
oda-99
"2024-08-31T09:26:45Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T09:26:43Z"
--- dataset_info: features: - name: test1 dtype: string - name: test2 dtype: string splits: - name: train num_bytes: 72 num_examples: 4 download_size: 1221 dataset_size: 72 configs: - config_name: default data_files: - split: train path: data/train-* ---
oda-99/result_head_3_consonant_hira
oda-99
"2024-08-31T12:10:53Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T12:10:48Z"
--- dataset_info: features: - name: section dtype: string - name: rhyme sequence: string - name: generated_text dtype: string splits: - name: train num_bytes: 203335 num_examples: 1000 download_size: 100594 dataset_size: 203335 configs: - config_name: default data_files: - split: train path: data/train-* ---
oda-99/result_tail_3_consonant_hira
oda-99
"2024-08-31T12:55:58Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T12:55:56Z"
--- dataset_info: features: - name: section dtype: string - name: rhyme sequence: string - name: generated_text dtype: string splits: - name: train num_bytes: 375488 num_examples: 1000 download_size: 46218 dataset_size: 375488 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/multi_turn_nllb
Slim205
"2024-08-31T13:13:08Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T13:05:48Z"
--- dataset_info: features: - name: title dtype: string - name: passage dtype: string - name: link dtype: string - name: question1 dtype: string - name: question2 dtype: string - name: question3 dtype: string - name: answer1 dtype: string - name: answer2 dtype: string - name: answer3 dtype: string - name: translated_question1 dtype: string - name: translated_answer1 dtype: string - name: translated_question2 dtype: string - name: translated_answer2 dtype: string - name: translated_question3 dtype: string - name: translated_answer3 dtype: string splits: - name: train num_bytes: 272788001.5608261 num_examples: 22939 download_size: 147306381 dataset_size: 272788001.5608261 configs: - config_name: default data_files: - split: train path: data/train-* ---
Dukee2506/real
Dukee2506
"2024-08-31T15:24:43Z"
31
0
[ "language:en", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T15:24:08Z"
--- language: - en dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7907 num_examples: 50 download_size: 5470 dataset_size: 7907 configs: - config_name: default data_files: - split: train path: data/train-* ---
shivangi25areena/finetuning_demo
shivangi25areena
"2024-08-31T19:04:22Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T18:23:57Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 2305 num_examples: 5 download_size: 4065 dataset_size: 2305 configs: - config_name: default data_files: - split: train path: data/train-* ---
martis314/tshirt_lora_data
martis314
"2024-08-31T23:24:01Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T23:23:56Z"
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 143316791.701 num_examples: 1127 download_size: 140466950 dataset_size: 143316791.701 configs: - config_name: default data_files: - split: train path: data/train-* ---
TianqiLiuAI/pair_preference_model_dataset_add_prefix_to_win_rate0.1_rrm_post_inference_2mto2p5m
TianqiLiuAI
"2024-08-31T23:29:04Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T23:28:53Z"
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: prob_A dtype: float64 splits: - name: train num_bytes: 1197034301 num_examples: 400000 download_size: 269651506 dataset_size: 1197034301 configs: - config_name: default data_files: - split: train path: data/train-* ---
adamo1139/JUMP_Coder_v1
adamo1139
"2024-08-31T23:43:20Z"
31
0
[ "license:apache-2.0", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-08-31T23:42:25Z"
--- license: apache-2.0 --- Just a combination of Magicoder OSS 75K, Magicoder Evol 110K and filtered down m-a-p CodeFeedback. All credit for this dataset goes to teams behind those datasets, I just want to avoid putting their name on my models to not confuse/mislead anyone.
JinglesDados/RonaldoCaiado
JinglesDados
"2024-09-01T00:12:53Z"
31
0
[ "license:openrail", "region:us" ]
null
"2024-09-01T00:12:41Z"
--- license: openrail ---
Self-GRIT/tulu-v2-sft-mixture-first-stage-classifier-outputs-dummy
Self-GRIT
"2024-09-01T02:08:50Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T01:32:38Z"
--- dataset_info: features: - name: dataset dtype: string - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: first_stage_prompt dtype: string - name: len_messages_user_assistant dtype: int64 - name: completion dtype: string - name: token_length dtype: int64 - name: failed dtype: bool splits: - name: train num_bytes: 1730293 num_examples: 200 download_size: 698830 dataset_size: 1730293 configs: - config_name: default data_files: - split: train path: data/train-* ---
ssmmzz/error_samples_only_test
ssmmzz
"2024-09-01T02:23:20Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T02:03:03Z"
--- dataset_info: features: - name: conversations dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 11550465 num_examples: 1744 download_size: 5151117 dataset_size: 11550465 configs: - config_name: default data_files: - split: train path: data/train-* ---
ishanarang/bbc_data
ishanarang
"2024-09-01T06:19:30Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T06:15:17Z"
--- dataset_info: features: - name: url dtype: string splits: - name: train num_bytes: 450 num_examples: 9 download_size: 1161 dataset_size: 450 configs: - config_name: default data_files: - split: train path: data/train-* ---
HiteshKumar007/nlp_test
HiteshKumar007
"2024-09-01T06:17:06Z"
31
0
[ "license:mit", "region:us" ]
null
"2024-09-01T06:17:06Z"
--- license: mit ---
Howard881010/climate-2day-finetuned
Howard881010
"2024-09-06T03:50:36Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T12:48:39Z"
--- dataset_info: features: - name: input_text dtype: string - name: output_text dtype: string - name: input_text_time dtype: string - name: output_text_time dtype: string - name: output_time dtype: string - name: input_num sequence: sequence: float64 - name: output_num sequence: sequence: float64 - name: instruction-1 dtype: string - name: instruction-2 dtype: string - name: instruction-3 dtype: string - name: instruction-4 dtype: string - name: pred_output_case1 dtype: string - name: pred_output_case2 dtype: string - name: pred_output_case3 dtype: string - name: pred_output_case4 dtype: string splits: - name: train num_bytes: 29784804 num_examples: 2895 - name: valid num_bytes: 4055034 num_examples: 362 - name: test num_bytes: 6948639 num_examples: 362 download_size: 9271581 dataset_size: 40788477 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---
infinite-dataset-hub/TodoTimeEstimation
infinite-dataset-hub
"2024-09-01T13:30:30Z"
31
0
[ "license:mit", "size_categories:n<1K", "format:csv", "modality:tabular", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "infinite-dataset-hub", "synthetic" ]
null
"2024-09-01T13:30:30Z"
--- license: mit tags: - infinite-dataset-hub - synthetic --- # TodoTimeEstimation tags: time, estimation, prediction _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'TodoTimeEstimation' dataset is designed to assist Machine Learning practitioners in developing models for time estimation of tasks. Each row in the dataset represents an unfinished to-do item, including the task description and an estimated time required to complete the task. The dataset also contains labels that indicate the priority level of each task. **CSV Content Preview:** ``` id,task,estimated_time,priority_label 1,Update project proposal with new budget figures,2 hours,High 2,Schedule team meeting for project kickoff,30 minutes,Medium 3,Review and respond to customer feedback emails,1.5 hours,Low 4,Design a user interface mockup for the new app,3 hours,High 5,Plan out the weekly team workout schedule,45 minutes,Medium ``` **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'todo': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=todo&dataset=TodoTimeEstimation&tags=time,+estimation,+prediction - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
Hyped1xGeek/dataset-id
Hyped1xGeek
"2024-09-01T14:57:05Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T14:57:04Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 16263 num_examples: 73 download_size: 9007 dataset_size: 16263 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/openbook_ift_v5
Slim205
"2024-09-01T16:38:02Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T16:13:13Z"
--- dataset_info: features: - name: id dtype: string - name: question_stem dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string - name: fact1 dtype: string - name: humanScore dtype: float32 - name: clarity dtype: float32 - name: turkIdAnonymized dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 17796 num_examples: 30 download_size: 20442 dataset_size: 17796 configs: - config_name: default data_files: - split: train path: data/train-* ---
TianqiLiuAI/pair_preference_model_dataset_add_prefix_to_win_rate0.1_rrm_post_inference_2p5mto3m
TianqiLiuAI
"2024-09-01T16:54:18Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T16:54:06Z"
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: prob_A dtype: float64 splits: - name: train num_bytes: 1199964181 num_examples: 400000 download_size: 269953123 dataset_size: 1199964181 configs: - config_name: default data_files: - split: train path: data/train-* ---
Thunderous77/emoji_training_pairs
Thunderous77
"2024-09-01T17:22:44Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T17:22:09Z"
--- dataset_info: features: - name: rejected list: - name: content dtype: string - name: role dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected_score dtype: float64 - name: chosen_score dtype: float64 splits: - name: train num_bytes: 1090437 num_examples: 548 download_size: 503713 dataset_size: 1090437 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/arc_easy_ift_v02
Slim205
"2024-09-01T18:05:56Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T18:05:50Z"
--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 1578333 num_examples: 2251 download_size: 854559 dataset_size: 1578333 configs: - config_name: default data_files: - split: train path: data/train-* ---
danigambit/D_ep8_run0_llama2-7b-chat_wikisumm_doc2050_V_BETA
danigambit
"2024-09-01T19:20:53Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T19:20:49Z"
--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string - name: doc dtype: string splits: - name: train num_bytes: 7255438 num_examples: 2050 download_size: 3049323 dataset_size: 7255438 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/piqa_ift_test_v
Slim205
"2024-09-01T20:02:50Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T19:59:40Z"
--- dataset_info: features: - name: goal dtype: string - name: sol1 dtype: string - name: sol2 dtype: string - name: label dtype: class_label: names: '0': '0' '1': '1' - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 13274 num_examples: 20 download_size: 14018 dataset_size: 13274 configs: - config_name: default data_files: - split: train path: data/train-* ---
AnnantJain/cars
AnnantJain
"2024-09-01T21:11:31Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T21:11:25Z"
--- dataset_info: features: - name: image dtype: image - name: label dtype: string splits: - name: train num_bytes: 11903062.58 num_examples: 1316 download_size: 11637820 dataset_size: 11903062.58 configs: - config_name: default data_files: - split: train path: data/train-* ---
jieyuz2/m
jieyuz2
"2024-09-01T21:28:17Z"
31
0
[ "arxiv:1910.09700", "region:us" ]
null
"2024-09-01T21:27:53Z"
--- base_model: TIGER-Lab/Mantis-8B-siglip-llama3-pretraind library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0
Slim205/sciq_ift_v02
Slim205
"2024-09-01T22:49:54Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T22:49:49Z"
--- dataset_info: features: - name: question dtype: string - name: distractor3 dtype: string - name: distractor1 dtype: string - name: distractor2 dtype: string - name: correct_answer dtype: string - name: support dtype: string - name: ift_question dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 17117687 num_examples: 11679 download_size: 9957751 dataset_size: 17117687 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/piqa_ift_v02_filtered
Slim205
"2024-09-01T23:27:15Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T23:27:13Z"
--- dataset_info: features: - name: goal dtype: string - name: sol1 dtype: string - name: sol2 dtype: string - name: label dtype: class_label: names: '0': '0' '1': '1' - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 9985184.523614474 num_examples: 13967 download_size: 5539276 dataset_size: 9985184.523614474 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/copa_ift_v02_filtered
Slim205
"2024-09-01T23:36:12Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-01T23:36:12Z"
--- dataset_info: features: - name: premise dtype: string - name: choice1 dtype: string - name: choice2 dtype: string - name: question dtype: string - name: idx dtype: int32 - name: label dtype: int64 - name: processed_input dtype: string - name: processed_output dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string splits: - name: train num_bytes: 211645.905 num_examples: 366 download_size: 117992 dataset_size: 211645.905 configs: - config_name: default data_files: - split: train path: data/train-* ---
lim142857/iem_test_task2_s4_100_internvl_split_12_E2_SC_v2_PQ_v4
lim142857
"2024-09-02T01:58:06Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T01:57:57Z"
--- dataset_info: features: - name: UID dtype: int64 - name: original_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image - name: SC_edit_success dtype: float32 - name: SC_overediting dtype: float32 - name: SC_reasoning dtype: string - name: SC_min_score dtype: float32 - name: PQ_artifacts dtype: float32 - name: PQ_reasoning dtype: string - name: O_score dtype: float32 splits: - name: train num_bytes: 284454804.0 num_examples: 99 download_size: 170554103 dataset_size: 284454804.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Bruece/office-home-art-caption
Bruece
"2024-09-02T03:17:29Z"
31
1
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T03:17:04Z"
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 158877122.625 num_examples: 2427 download_size: 153180354 dataset_size: 158877122.625 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/copa_ift_v02_filtered_translated_nllb0
Slim205
"2024-09-02T04:42:53Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T04:42:48Z"
--- dataset_info: features: - name: premise dtype: string - name: choice1 dtype: string - name: choice2 dtype: string - name: question dtype: string - name: idx dtype: int32 - name: label dtype: int64 - name: processed_input dtype: string - name: processed_output dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 339513 num_examples: 366 download_size: 180609 dataset_size: 339513 configs: - config_name: default data_files: - split: train path: data/train-* ---
harshana95/HybridDatasetColor
harshana95
"2024-09-05T14:28:42Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T05:29:17Z"
--- dataset_info: features: - name: gt dtype: image - name: blur dtype: image splits: - name: train num_bytes: 35117374502.38 num_examples: 2385 - name: validation num_bytes: 3909750331.0 num_examples: 265 download_size: 38937783916 dataset_size: 39027124833.38 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
TianqiLiuAI/pair_preference_model_dataset_add_prefix_to_win_rate0.1_rrm_post_inference_4mto4p5m
TianqiLiuAI
"2024-09-02T05:42:39Z"
31
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T05:42:28Z"
--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: prob_A dtype: float64 splits: - name: train num_bytes: 1207480359 num_examples: 400000 download_size: 271279258 dataset_size: 1207480359 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_8_width_16k_l0_71
winnieyangwannan
"2024-09-02T06:45:31Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:45:31Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_4_width_16k_l0_124
winnieyangwannan
"2024-09-02T06:45:47Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:45:46Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_9_width_16k_l0_73
winnieyangwannan
"2024-09-02T06:47:51Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:47:51Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_15_width_16k_l0_78
winnieyangwannan
"2024-09-02T06:47:53Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:47:52Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_14_width_16k_l0_84
winnieyangwannan
"2024-09-02T06:48:06Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:48:05Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_13_width_16k_l0_84
winnieyangwannan
"2024-09-02T06:48:06Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:48:05Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_16_width_16k_l0_78
winnieyangwannan
"2024-09-02T06:48:06Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:48:06Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_17_width_16k_l0_77
winnieyangwannan
"2024-09-02T06:48:09Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:48:09Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_23_width_16k_l0_74
winnieyangwannan
"2024-09-02T06:50:26Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:50:25Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_24_width_16k_l0_73
winnieyangwannan
"2024-09-02T06:50:27Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:50:27Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
winnieyangwannan/all_token_dfs_gemma-scope-2b-pt-res_res_layer_18_width_16k_l0_74
winnieyangwannan
"2024-09-02T06:50:35Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T06:50:34Z"
--- dataset_info: features: - name: all_feature_acts dtype: string splits: - name: train num_bytes: 76 num_examples: 7 download_size: 921 dataset_size: 76 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/hellaswag_ift_v02_filtered_translated_nllb28000
Slim205
"2024-09-02T07:18:59Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T07:18:56Z"
--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string - name: ift_instruction dtype: string - name: ift_question dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 19144001 num_examples: 4000 download_size: 10482847 dataset_size: 19144001 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/hellaswag_ift_v02_filtered_translated_nllb10000
Slim205
"2024-09-02T08:01:40Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T08:01:33Z"
--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string - name: ift_instruction dtype: string - name: ift_question dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 37360939 num_examples: 10000 download_size: 19782023 dataset_size: 37360939 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/gsm8k_ift_v02_translated_nllb5000
Slim205
"2024-09-02T08:14:05Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T08:14:02Z"
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 4341318 num_examples: 2473 download_size: 2328953 dataset_size: 4341318 configs: - config_name: default data_files: - split: train path: data/train-* ---
varun17291729/cloudtrailnew
varun17291729
"2024-09-02T08:31:30Z"
31
0
[ "license:apache-2.0", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T08:30:51Z"
--- license: apache-2.0 ---
Vitrola40/PG2020
Vitrola40
"2024-09-02T08:39:40Z"
31
0
[ "license:openrail", "size_categories:n<1K", "format:audiofolder", "modality:audio", "library:datasets", "library:mlcroissant", "region:us" ]
null
"2024-09-02T08:38:39Z"
--- license: openrail ---
Slim205/race_ift_v02_filtered_translated_seamless0
Slim205
"2024-09-02T15:52:19Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T08:56:11Z"
--- dataset_info: features: - name: example_id dtype: string - name: article dtype: string - name: answer dtype: string - name: question dtype: string - name: options sequence: string - name: ift_instruction dtype: string - name: ift_question dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 64094 num_examples: 10 download_size: 64983 dataset_size: 64094 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/wiki_data_full_nllb
Slim205
"2024-09-02T11:05:20Z"
31
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:05:07Z"
--- dataset_info: features: - name: title dtype: string - name: passage dtype: string - name: question dtype: string - name: answer dtype: string - name: link dtype: string - name: translated_question dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 198702110.30568653 num_examples: 77300 download_size: 127536825 dataset_size: 198702110.30568653 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/race_ift_v02_filtered_translated
Slim205
"2024-09-02T11:12:26Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:12:24Z"
--- dataset_info: features: - name: example_id dtype: string - name: article dtype: string - name: answer dtype: string - name: question dtype: string - name: options sequence: string - name: ift_instruction dtype: string - name: ift_question dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 63308 num_examples: 8 download_size: 72069 dataset_size: 63308 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/sciq_ift_v02_filtered_translated
Slim205
"2024-09-02T11:21:48Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:21:47Z"
--- dataset_info: features: - name: question dtype: string - name: distractor3 dtype: string - name: distractor1 dtype: string - name: distractor2 dtype: string - name: correct_answer dtype: string - name: support dtype: string - name: ift_question dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 23478 num_examples: 8 download_size: 29392 dataset_size: 23478 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/arc_challenge_ift_v02_filtered_translated
Slim205
"2024-09-02T11:28:36Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:28:34Z"
--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 12068 num_examples: 8 download_size: 19937 dataset_size: 12068 configs: - config_name: default data_files: - split: train path: data/train-* ---
Slim205/openbook_ift_v02_filtered_translated
Slim205
"2024-09-02T11:36:34Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:36:33Z"
--- dataset_info: features: - name: id dtype: string - name: question_stem dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string - name: fact1 dtype: string - name: humanScore dtype: float32 - name: clarity dtype: float32 - name: turkIdAnonymized dtype: string - name: ift_instruction dtype: string - name: ift_answer dtype: string - name: translated_instruction dtype: string - name: translated_answer dtype: string splits: - name: train num_bytes: 9361 num_examples: 8 download_size: 18406 dataset_size: 9361 configs: - config_name: default data_files: - split: train path: data/train-* ---
llmengineer/workflows
llmengineer
"2024-09-02T12:12:38Z"
31
1
[ "license:apache-2.0", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T11:43:31Z"
--- license: apache-2.0 ---
adriansanz/sqv_v0_tmp
adriansanz
"2024-09-02T14:29:45Z"
31
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T14:29:43Z"
--- dataset_info: features: - name: document dtype: string - name: question dtype: string - name: context dtype: string - name: answer dtype: string splits: - name: train num_bytes: 2413788 num_examples: 6389 download_size: 270390 dataset_size: 2413788 configs: - config_name: default data_files: - split: train path: data/train-* ---
m-nast76/breast-ultrasound-dataset
m-nast76
"2024-09-02T15:22:14Z"
31
0
[ "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-02T15:04:11Z"
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 202073518.0 num_examples: 588 download_size: 201750193 dataset_size: 202073518.0 configs: - config_name: default data_files: - split: train path: data/train-* ---