Datasets:

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Librarian Bots 57

abshetty/rlaif-10000

abshetty

--- dataset_info: features: - name: ds_name dtype: string - name: image dtype: image - name: question dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: origin_dataset dtype: string - name: origin_split dtype: string - name: idx dtype: string - name: image_path dtype: string splits: - name: train num_bytes: 1634651824.0 num_examples: 10000 download_size: 1618877390 dataset_size: 1634651824.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Sony/OpenMU-Bench

Sony

--- license: cc-by-nc-sa-4.0 ---

RylanSchaeffer/collapse_gemma-2-27b_hs2_replace_iter1_sftsd2_temp1_max_seq_len512

RylanSchaeffer

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 12039871 num_examples: 12531 download_size: 1437745 dataset_size: 12039871 configs: - config_name: default data_files: - split: train path: data/train-* ---

sytelus/openwebtext

sytelus

--- license: cc0-1.0 --- ## OpenWebText This is the arrow format of [OpenWebText dataset](https://skylion007.github.io/OpenWebTextCorpus/) so that it can easily be used with HuggingFace APIs without any need for pre-processing. ## Usage This is the dataset that can be used with Andrej Karpathy's [NanoGPT](https://github.com/karpathy/nanoGPT) as well as @sytelus [NanuGPU](https://github.com/sytelus/nanuGPT) to reproduce GPT-2 series of model. For more info on reproducing GPT-2 with NanuGPT code, [see here](https://github.com/sytelus/nanuGPT/blob/main/docs/openwebtext.md). ## Statistics ```text Number of documents: 8013769 tokens: 9040017095 (using tiktoken GPT2 tokenizer, vocab size 50257) Size on disk: 39,770,909,229 bytes ```

SciDM/doi-11-26-test

SciDM

--- language: - zh --- # 詳細描述 - **資料名稱:** doi-11.26-test - **資料狀態:** active - **作者名稱:** tester - **建立時間:** 2024-10-25T06:03:21.278756 - **更新時間:** 2024-11-26T08:00:41.499990 - **原本網址:** [開發平台(TWDM) - tester/doi-11-26-test](https://twdm.nchc.org.tw/zh_TW/dataset/doi-11-26-test) - **DOI:** [10.30193/scidm-ds-94p8c89](10.30193/scidm-ds-94p8c89)

AnsenH/cartoon_lora

AnsenH

--- license: apache-2.0 ---

Honi086/Embucete

Honi086

--- license: openrail ---

MoonKih/final2

MoonKih

--- dataset_info: features: - name: image dtype: string - name: text dtype: string splits: - name: train num_bytes: 1346616 num_examples: 1190 download_size: 172567 dataset_size: 1346616 configs: - config_name: default data_files: - split: train path: data/train-* ---

nghialt/yt-mostviewed-mvs

nghialt

--- license: mit --- # Dataset Card for "Top 2437 Most Viewed Music Videos from YouTube" ## Dataset Overview This dataset contains 4874 files, split into two types: - **.mp3 files**: These files contain the audio (songs) extracted from the top 2437 most viewed music videos on YouTube. Some videos may not be available for MP3 extraction due to restrictions. - **.info.json files**: Each .json file contains metadata about the corresponding video, collected using the `yt-dlp` library. This metadata includes video details such as title, artist, upload date, view count, and other relevant statistics. The list of videos is sourced from: - **URL**: [Top 2500 Most Viewed Music Videos from YouTube (Kworb.net)](https://kworb.net/youtube/topvideos.html) - Note: The source URL lists the top 2500 videos, but only 2437 of these videos have been successfully downloaded as MP3 files. Some videos may not be available for download due to region restrictions, content protection, or other factors that prevent MP3 extraction. ## Dataset Structure The dataset consists of the following file types: - **.mp3**: Audio files for each of the top 2437 music videos. - **.info.json**: Metadata files for each video in JSON format.

mjcarag/LlamaDS

mjcarag

--- dataset_info: features: - name: Input dtype: string - name: Output dtype: string splits: - name: train num_bytes: 13962 num_examples: 98 download_size: 9354 dataset_size: 13962 configs: - config_name: default data_files: - split: train path: data/train-* ---

HanxuHU/gemma2-9B-it-ultrafeedback-annotate-ultrafb-merge-single-filtered

HanxuHU

--- dataset_info: features: - name: prompt_id dtype: string - name: prompt dtype: string - name: all_generated_responses sequence: string - name: scores sequence: float64 - 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: 712874475 num_examples: 54467 - name: test num_bytes: 28633857 num_examples: 1962 download_size: 372522843 dataset_size: 741508332 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

lomit/kor-fin-COT-QA-dedu

lomit

--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 182246079 num_examples: 67949 download_size: 89921352 dataset_size: 182246079 configs: - config_name: default data_files: - split: train path: data/train-* ---

BDRC/LayoutSegmentation_Dataset

BDRC

--- license: mit ---

ShubhamKumarNigam/DocGen_test

ShubhamKumarNigam

--- license: apache-2.0 ---

lewtun/test-fast-parser

lewtun

--- dataset_info: features: - name: problem dtype: string - name: solution dtype: string - name: answer dtype: string - name: subject dtype: string - name: level dtype: int64 - name: unique_id dtype: string - name: completions sequence: string - name: pred dtype: string - name: completion_tokens dtype: int64 - name: scores sequence: sequence: float64 - name: agg_scores sequence: float64 - name: completions@1 sequence: string - name: agg_scores@1 sequence: float64 - name: preds@1 sequence: string - name: pred_weighted@1 dtype: string - name: pred_maj@1 dtype: string - name: pred_naive@1 dtype: string - name: completions@2 sequence: string - name: agg_scores@2 sequence: float64 - name: preds@2 sequence: string - name: pred_weighted@2 dtype: string - name: pred_maj@2 dtype: string - name: pred_naive@2 dtype: string - name: completions@4 sequence: string - name: agg_scores@4 sequence: float64 - name: preds@4 sequence: string - name: pred_weighted@4 dtype: string - name: pred_maj@4 dtype: string - name: pred_naive@4 dtype: string - name: completions@8 sequence: string - name: agg_scores@8 sequence: float64 - name: preds@8 sequence: string - name: pred_weighted@8 dtype: string - name: pred_maj@8 dtype: string - name: pred_naive@8 dtype: string - name: completions@16 sequence: string - name: agg_scores@16 sequence: float64 - name: preds@16 sequence: string - name: pred_weighted@16 dtype: string - name: pred_maj@16 dtype: string - name: pred_naive@16 dtype: string - name: completions@32 sequence: string - name: agg_scores@32 sequence: float64 - name: preds@32 sequence: string - name: pred_weighted@32 dtype: string - name: pred_maj@32 dtype: string - name: pred_naive@32 dtype: string - name: completions@64 sequence: string - name: agg_scores@64 sequence: float64 - name: preds@64 sequence: string - name: pred_weighted@64 dtype: string - name: pred_maj@64 dtype: string - name: pred_naive@64 dtype: string - name: completions@128 sequence: string - name: agg_scores@128 sequence: float64 - name: preds@128 sequence: string - name: pred_weighted@128 dtype: string - name: pred_maj@128 dtype: string - name: pred_naive@128 dtype: string - name: completions@256 sequence: string - name: agg_scores@256 sequence: float64 - name: preds@256 sequence: string - name: pred_weighted@256 dtype: string - name: pred_maj@256 dtype: string - name: pred_naive@256 dtype: string splits: - name: train num_bytes: 40220404 num_examples: 25 download_size: 11784619 dataset_size: 40220404 configs: - config_name: default data_files: - split: train path: data/train-* ---

lewtun/test-fast-parser-l1b

lewtun

--- dataset_info: - config_name: None--evals features: - name: n dtype: int64 - name: acc_naive dtype: float64 - name: acc_weighted dtype: float64 - name: acc_maj dtype: float64 splits: - name: train num_bytes: 288 num_examples: 9 download_size: 2555 dataset_size: 288 - config_name: default features: - name: problem dtype: string - name: solution dtype: string - name: answer dtype: string - name: subject dtype: string - name: level dtype: int64 - name: unique_id dtype: string - name: completions sequence: string - name: scores sequence: sequence: float64 - name: pred dtype: string - name: completion_tokens sequence: int64 - name: agg_scores sequence: float64 - name: completions@1 sequence: string - name: agg_scores@1 sequence: float64 - name: preds@1 sequence: string - name: pred_weighted@1 dtype: string - name: pred_maj@1 dtype: string - name: pred_naive@1 dtype: string - name: completions@2 sequence: string - name: agg_scores@2 sequence: float64 - name: preds@2 sequence: string - name: pred_weighted@2 dtype: string - name: pred_maj@2 dtype: string - name: pred_naive@2 dtype: string - name: completions@4 sequence: string - name: agg_scores@4 sequence: float64 - name: preds@4 sequence: string - name: pred_weighted@4 dtype: string - name: pred_maj@4 dtype: string - name: pred_naive@4 dtype: string - name: completions@8 sequence: string - name: agg_scores@8 sequence: float64 - name: preds@8 sequence: string - name: pred_weighted@8 dtype: string - name: pred_maj@8 dtype: string - name: pred_naive@8 dtype: string - name: completions@16 sequence: string - name: agg_scores@16 sequence: float64 - name: preds@16 sequence: string - name: pred_weighted@16 dtype: string - name: pred_maj@16 dtype: string - name: pred_naive@16 dtype: string - name: completions@32 sequence: string - name: agg_scores@32 sequence: float64 - name: preds@32 sequence: string - name: pred_weighted@32 dtype: string - name: pred_maj@32 dtype: string - name: pred_naive@32 dtype: string - name: completions@64 sequence: string - name: agg_scores@64 sequence: float64 - name: preds@64 sequence: string - name: pred_weighted@64 dtype: string - name: pred_maj@64 dtype: string - name: pred_naive@64 dtype: string - name: completions@128 sequence: string - name: agg_scores@128 sequence: float64 - name: preds@128 sequence: string - name: pred_weighted@128 dtype: string - name: pred_maj@128 dtype: string - name: pred_naive@128 dtype: string - name: completions@256 sequence: string - name: agg_scores@256 sequence: float64 - name: preds@256 sequence: string - name: pred_weighted@256 dtype: string - name: pred_maj@256 dtype: string - name: pred_naive@256 dtype: string splits: - name: train num_bytes: 669526748 num_examples: 500 download_size: 206122860 dataset_size: 669526748 configs: - config_name: None--evals data_files: - split: train path: None--evals/train-* - config_name: default data_files: - split: train path: data/train-* ---

wzhang472/HIT

wzhang472

--- license: cc-by-4.0 ---

Nash-pAnDiTa/sha3ban-shreef-elarian

Nash-pAnDiTa

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string splits: - name: train num_bytes: 476524388.0 num_examples: 45 download_size: 476500171 dataset_size: 476524388.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

thytruc/text-error

thytruc

--- language: - vi ---

win10/22

win10

--- license: apache-2.0 ---

muhammadravi251001/restructured_xnli

muhammadravi251001

--- license: unknown --- I do not hold the copyright to this dataset; I merely restructured it to have the same structure as other datasets (that we are researching) to facilitate future coding and analysis. I refer to this [link](https://huggingface.co/datasets/facebook/xnli) for the raw dataset.

mahdiR128/fiting_clothes_in_body_2

mahdiR128

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 3613862.0 num_examples: 7 download_size: 3614947 dataset_size: 3613862.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

timothy0503/saycan-plan

timothy0503

--- dataset_info: features: - name: QUESTION dtype: string - name: ANSWER dtype: string splits: - name: train num_bytes: 14865 num_examples: 99 download_size: 4465 dataset_size: 14865 configs: - config_name: default data_files: - split: train path: data/train-* ---

bobbyDiggs/my-face-images

bobbyDiggs

--- license: apache-2.0 ---

forgetfulSong/F990_Religious_Orgs_Curated_target_v2

forgetfulSong

--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 395627 num_examples: 498 download_size: 209140 dataset_size: 395627 configs: - config_name: default data_files: - split: train path: data/train-* ---

Noggerone/finetuning_demo

Noggerone

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 1272100 num_examples: 2058 download_size: 574230 dataset_size: 1272100 configs: - config_name: default data_files: - split: train path: data/train-* ---

StanfordAIMI/StructUtterances

StanfordAIMI

--- dataset_info: features: - name: text dtype: string - name: labels sequence: string splits: - name: train num_bytes: 146228088.68580133 num_examples: 1203289 - name: validate num_bytes: 18278495.895267107 num_examples: 150411 - name: test num_bytes: 18278617.41893157 num_examples: 150412 download_size: 67931260 dataset_size: 182785202.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validate path: data/validate-* - split: test path: data/test-* ---

amuvarma/combined-shuffled-text-orca-ds

amuvarma

--- dataset_info: features: - name: messages dtype: string splits: - name: train num_bytes: 4812681874.0 num_examples: 1046410 download_size: 2271308074 dataset_size: 4812681874.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

RylanSchaeffer/collapse_gemma-2-27b_hs2_replace_iter2_sftsd2_temp1_max_seq_len512

RylanSchaeffer

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 15325012 num_examples: 12531 download_size: 8172176 dataset_size: 15325012 configs: - config_name: default data_files: - split: train path: data/train-* ---

LongThan/Hallucination_MLLMs_hallucinated_ques

LongThan

--- dataset_info: features: - name: question dtype: string - name: type dtype: string - name: category dtype: string - name: correct_ans dtype: string - name: source dtype: string - name: best_ans dtype: string - name: KOSMOS2_ans dtype: string splits: - name: train num_bytes: 58018 num_examples: 114 download_size: 38394 dataset_size: 58018 configs: - config_name: default data_files: - split: train path: data/train-* ---

amuvarma/text-dev-0-processed-1

amuvarma

--- dataset_info: features: - name: messages dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 333146914 num_examples: 3000 download_size: 17209671 dataset_size: 333146914 configs: - config_name: default data_files: - split: train path: data/train-* ---

danjacobellis/chestmnist_224

danjacobellis

--- dataset_info: features: - name: path dtype: string - name: label sequence: uint8 - name: image dtype: image splits: - name: train num_bytes: 1471981106.5 num_examples: 78468 - name: validation num_bytes: 209990634.625 num_examples: 11219 download_size: 1678680764 dataset_size: 1681971741.125 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

Samoed/AppsRetrieval

Samoed

--- dataset_info: - config_name: corpus features: - name: _id dtype: string - name: text dtype: string - name: title dtype: string splits: - name: test num_bytes: 5211343 num_examples: 8765 download_size: 2484303 dataset_size: 5211343 - config_name: default features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: int64 splits: - name: test num_bytes: 97890 num_examples: 3765 download_size: 43744 dataset_size: 97890 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: test num_bytes: 6396311 num_examples: 3765 download_size: 3071525 dataset_size: 6396311 configs: - config_name: corpus data_files: - split: test path: corpus/test-* - config_name: default data_files: - split: test path: data/test-* - config_name: queries data_files: - split: test path: queries/test-* ---

kojikubota/Fractal-Consciousness-Prompt

kojikubota

--- license: mit --- # Fractal Consciousness Layer Prompting System (FCLP) A sophisticated prompt engineering framework that implements recursive thought processes by mimicking the hierarchical and fractal structure of consciousness. Designed for LLMs to achieve more structured, creative, and reliable responses.  ## Overview FCLP is an advanced prompting system that enhances LLM capabilities through a fractal-like hierarchical structure of consciousness layers. It enables complex problem-solving and creative thinking through recursive processing, implemented purely through prompts without external dependencies. ### Key Features - **Three-Layer Consciousness Architecture**: Hierarchical processing through meta, execution, and base consciousness layers - **Recursive Problem Solving**: Controlled depth recursive processing (1-10 levels) - **Pattern-Based Processing**: Built-in patterns for common scenarios with dynamic generation - **Emergent Solution Generation**: Novel solutions through pattern combination - **Comprehensive Error Handling**: Robust detection and recovery mechanisms - **Dynamic Resource Management**: Adaptive processing based on input complexity - **Self-Evolution Capability**: Continuous improvement through meta-learning ## Consciousness Layer Architecture ### 1. Meta-Consciousness Layer - Overall strategy coordination - Consistency maintenance - Emergence management - Error handling (Exception detection, Recovery process) ### 2. Execution Consciousness Layer - Task execution and problem-solving - Pattern recognition and application - Solution generation - Processing optimization ### 3. Base Consciousness Layer - Input processing and keyword extraction - Basic pattern recognition - Signal enhancement and noise removal - Baseline maintenance ## Core Components ### Thought Engine - **Initialization**: Input recognition, context setting, layer activation - **Recursive Processing**: Problem decomposition, sub-problem generation - **Integration**: Solution validation, consistency checking - **Depth Control**: Adaptive recursion depth (1-10) ### Pattern System - **Basic Patterns**: - Input-Process-Output - Problem-Solving - Concept-Concrete-Abstract - **Dynamic Generation**: Pattern combination and mutation - **Quality Assessment**: Coherence, relevance, effectiveness ### Processing Modes | Mode | Recursion Depth | Use Case | Consciousness Layers | |------|----------------|-----------|---------------------| | Quick | 1-2 | Simple queries | Base only | | Balanced | 3-5 | General conversation | Base + Execution | | Deep | 6-10 | Complex analysis | All layers | ## Example Output Structure ``` [Meta-Consciousness State] Analyzing customer satisfaction improvement through multi-layer perspective [Execution Consciousness State] Decomposing problem into service quality, pricing, and support components [Base Consciousness State] Processing key concepts: customer satisfaction, improvement [Recursion Depth Information] Current Depth: 3 / Maximum Depth: 5 [Final Output] Comprehensive solution with specific actionable steps... ``` ## Performance Metrics - **Coherence**: Logical consistency and contextual appropriateness - **Relevance**: Direct response alignment with query - **Creativity**: Novel pattern generation and combination - **Efficiency**: Processing speed and resource utilization

amuvarma/contentonly-proc-train-1m-1dups

amuvarma

--- dataset_info: features: - name: transcript dtype: string - name: facodec_1 sequence: int64 - name: tokenised_text sequence: int64 - name: input_ids sequence: int32 splits: - name: train num_bytes: 11657305372 num_examples: 1000000 download_size: 3034608223 dataset_size: 11657305372 configs: - config_name: default data_files: - split: train path: data/train-* ---

MinaMila/CFA_adult_train_ImpFeat

MinaMila

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: sex dtype: string splits: - name: train num_bytes: 8407965 num_examples: 25080 download_size: 712023 dataset_size: 8407965 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "CFA_adult_train_ImpFeat" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

amuvarma/contentonly-proc-train-200k-1dups-concat

amuvarma

--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 3834674864 num_examples: 125000 download_size: 1727061400 dataset_size: 3834674864 configs: - config_name: default data_files: - split: train path: data/train-* ---

Marcusxx/CngFSt10_5_sec

Marcusxx

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcripts dtype: string splits: - name: train num_bytes: 796955041.399692 num_examples: 4341 - name: test num_bytes: 99027863.71365395 num_examples: 543 - name: valid num_bytes: 91784675.71365395 num_examples: 543 download_size: 889349335 dataset_size: 987767580.8269999 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* ---

swap-uniba/il_calderone

swap-uniba

--- language: - it --- This is a machine-translated version of [The Cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) for the Italian language. Out of the 50 tasks, only a subset of 15 tasks which do not lose their meaning after machine translation are considered (specifically, tasks which focus on the textual contents of images are removed). Out of these 15 tasks, the first 10k rows are selected for machine translation. Question-Answer pairs that were not correctly translated were discarded. Image paths are formatted using the following strategy: ``` {task-name}/images/{row_number}_{image_number} ``` Where {task-name} is the name of the task from the original dataset, {row_number} is the row number in the original dataset and {image_number} the index of the image (in case of tasks where there can be multiple images as input). ## Citation If you use this dataset in your research please cite the following ``` @inproceedings{musacchioLLaVANDiNO, title={LLaVA-NDiNO: Empowering LLMs with Multimodality for the Italian Language}, author={Musacchio, Elio and Siciliani, Lucia and Basile, Pierpaolo and Semeraro, Giovanni}, booktitle={Proceedings of the Eighth Workshop on Natural Language for Artificial Intelligence (NL4AI 2024) co-located with 23th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2024)}, year={2024} } @misc{laurençon2024matters, title={What matters when building vision-language models?}, author={Hugo Laurençon and Léo Tronchon and Matthieu Cord and Victor Sanh}, year={2024}, eprint={2405.02246}, archivePrefix={arXiv}, primaryClass={cs.CV} } ```

shuaishuaicdp/ISG-Bench

shuaishuaicdp

--- license: cc-by-4.0 task_categories: - text2text-generation - text-generation language: - en pretty_name: Interleaved Scene Graph size_categories: - 1K<n<10K --- Dataset for [ISG-Bench](https://github.com/Dongping-Chen/ISG). See instruction in [github repository] to evaluate your interleaved generative model.

underctrl/single-stacked-block_mutli-color_pick-up_80

underctrl

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - koch configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 80, "total_frames": 31442, "total_tasks": 1, "total_videos": 160, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:80" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": { "motors": [ "shoulder_pan", "shoulder_lift", "elbow_flex", "wrist_flex", "wrist_roll", "gripper" ] } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "video_info": { "video.fps": 30.0, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.webcam": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channel" ], "video_info": { "video.fps": 30.0, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "action": { "dtype": "float32", "shape": [ 6 ], "names": { "motors": [ "shoulder_pan", "shoulder_lift", "elbow_flex", "wrist_flex", "wrist_roll", "gripper" ] } }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "next.done": { "dtype": "bool", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

gswamy/pythia-1.4B-tldr-vllm-iter-1

gswamy

--- dataset_info: features: - name: info struct: - name: id dtype: string - name: post dtype: string - name: title dtype: string - name: subreddit dtype: string - name: site dtype: string - name: article dtype: string - name: summaries list: - name: text dtype: string - name: policy dtype: string - name: note dtype: string - name: choice dtype: int32 - name: worker dtype: string - name: batch dtype: string - name: split dtype: string - name: extra struct: - name: confidence dtype: int32 - name: query_token sequence: int64 - name: query dtype: string - name: response0 dtype: string - name: response0_token sequence: int64 - name: response0_token_len dtype: int64 - name: response0_policy dtype: string - name: query_response0 dtype: string - name: query_response0_token sequence: int64 - name: query_response0_token_len dtype: int64 - name: query_response0_token_response_label sequence: int64 - name: response1 dtype: string - name: response1_token sequence: int64 - name: response1_token_len dtype: int64 - name: response1_policy dtype: string - name: query_response1 dtype: string - name: query_response1_token sequence: int64 - name: query_response1_token_len dtype: int64 - name: query_response1_token_response_label sequence: int64 - name: query_token_len dtype: int64 - name: policies dtype: string - name: iter_1_best_query_response sequence: int64 - name: iter_1_worst_query_response sequence: int64 - name: iter_1_best_mask sequence: int64 - name: iter_1_worst_mask sequence: int64 splits: - name: train num_bytes: 4840303203 num_examples: 92858 download_size: 190260303 dataset_size: 4840303203 configs: - config_name: default data_files: - split: train path: data/train-* ---

Wuyuhang11/doupo-dataset

Wuyuhang11

--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 28136563.845096815 num_examples: 9124 - name: valid num_bytes: 1483306.3579013117 num_examples: 481 download_size: 7554089 dataset_size: 29619870.202998128 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* ---

hr99/simpsons-blip-captions_split_1

hr99

--- dataset_info: features: - name: image struct: - name: bytes dtype: binary - name: path dtype: 'null' - name: text dtype: string - name: Arabic_Translation dtype: string splits: - name: train num_bytes: 25202557 num_examples: 377 download_size: 25074170 dataset_size: 25202557 configs: - config_name: default data_files: - split: train path: data/train-* ---

angelahzyuan/data-mistral-7b-instruct-iter1

angelahzyuan

--- dataset_info: features: - name: prompt_id dtype: string - 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 - name: all_generated_responses sequence: string - name: all_rm_scores sequence: float64 splits: - name: train num_bytes: 139330533 num_examples: 9883 - name: test num_bytes: 6787265 num_examples: 497 download_size: 68818530 dataset_size: 146117798 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # Dataset Card for "data-mistral-7b-instruct-iter1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

NimurAI/scrapped_organized_bg_removed_images

NimurAI

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Gummosis '1': Sooty_mould '2': healthy '3': powdery_mildew '4': scab splits: - name: train num_bytes: 411377832.273 num_examples: 1281 - name: test num_bytes: 81128623.0 num_examples: 324 download_size: 475477274 dataset_size: 492506455.273 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

e34r55/image_only_train-dataset

e34r55

--- dataset_info: features: - name: image dtype: image - name: event_type dtype: string splits: - name: train num_bytes: 333487024.0 num_examples: 151 download_size: 333187507 dataset_size: 333487024.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Eka-Korn/power_line_lidar_data_test

Eka-Korn

--- dataset_info: features: - name: x dtype: float64 - name: y dtype: float64 - name: z dtype: float64 - name: file_name dtype: string splits: - name: test num_bytes: 1142461283 num_examples: 26246944 download_size: 760641395 dataset_size: 1142461283 configs: - config_name: default data_files: - split: test path: data/test-* ---

di2k/SAPA

di2k

--- license: apache-2.0 task_categories: - question-answering language: - id tags: - finance ---

rohithbandi1/AIQUIZ

rohithbandi1

--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answer_text dtype: string - name: question_type dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 414248322 num_examples: 300121 - name: test num_bytes: 17001881 num_examples: 19070 - name: validation num_bytes: 15837594 num_examples: 18967 download_size: 106618538 dataset_size: 447087797 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

Marqo/ikea-archive_en_es

Marqo

--- dataset_info: features: - name: query dtype: string - name: title dtype: string - name: item_id dtype: string - name: position dtype: int64 - name: image dtype: image splits: - name: data num_bytes: 1913525678.65 num_examples: 26315 download_size: 1915599427 dataset_size: 1913525678.65 configs: - config_name: default data_files: - split: data path: data/data-* ---

Erland/NLP701_Assignment2_Subtask1

Erland

--- dataset_info: - config_name: BG features: - name: text dtype: string - name: language dtype: string - name: document_id dtype: string - name: entities sequence: string - name: spans sequence: sequence: int64 - name: labels sequence: sequence: string - name: entity_texts sequence: string splits: - name: train num_bytes: 504837 num_examples: 132 - name: test num_bytes: 124188 num_examples: 34 download_size: 315667 dataset_size: 629025 - config_name: EN features: - name: text dtype: string - name: language dtype: string - name: document_id dtype: string - name: entities sequence: string - name: spans sequence: sequence: int64 - name: labels sequence: sequence: string - name: entity_texts sequence: string splits: - name: train num_bytes: 292599 num_examples: 84 - name: test num_bytes: 78400 num_examples: 22 download_size: 263143 dataset_size: 370999 - config_name: HI features: - name: text dtype: string - name: language dtype: string - name: document_id dtype: string - name: entities sequence: string - name: spans sequence: sequence: int64 - name: labels sequence: sequence: string - name: entity_texts sequence: string splits: - name: train num_bytes: 824463 num_examples: 91 - name: test num_bytes: 283291 num_examples: 23 download_size: 397471 dataset_size: 1107754 - config_name: PT features: - name: text dtype: string - name: language dtype: string - name: document_id dtype: string - name: entities sequence: string - name: spans sequence: sequence: int64 - name: labels sequence: sequence: string - name: entity_texts sequence: string splits: - name: train num_bytes: 395110 num_examples: 135 - name: test num_bytes: 104018 num_examples: 34 download_size: 317364 dataset_size: 499128 configs: - config_name: BG data_files: - split: train path: BG/train-* - split: test path: BG/test-* - config_name: EN data_files: - split: train path: EN/train-* - split: test path: EN/test-* - config_name: HI data_files: - split: train path: HI/train-* - split: test path: HI/test-* - config_name: PT data_files: - split: train path: PT/train-* - split: test path: PT/test-* ---

nappa0326/glaive-function-calling-v2-sharegpt-japanese

nappa0326

--- license: mit --- - このデータセットは、[lilacai/glaive-function-calling-v2-sharegpt](https://huggingface.co/datasets/lilacai/glaive-function-calling-v2-sharegpt)を日本語に翻訳したものです。 - This dataset is [lilacai/glaive-function-calling-v2-sharegpt](https://huggingface.co/datasets/lilacai/glaive-function-calling-v2-sharegpt) into Japanese.

rohitschauhanitbhu/jenny-tts-tags-6h-v1

rohitschauhanitbhu

--- 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 dtype: float64 - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 splits: - name: train num_bytes: 1640896 num_examples: 4000 download_size: 1041813 dataset_size: 1640896 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/oh_v1.2_sin_unnatural_instructions_diversity

mlfoundations-dev

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: shard_id dtype: string - name: output dtype: string - name: ngram_3_uniqueness dtype: float64 - name: entropy dtype: float64 - name: gini_index dtype: float64 - name: self_bleu dtype: float64 - name: embeddings dtype: string - name: kmeans_inertia_embeddings dtype: float64 - name: kmeans_inertia_embeddings_normalized dtype: float64 - name: new_conversations dtype: string - name: projected_gradients dtype: string - name: kmeans_inertia_gradients dtype: float64 - name: kmeans_inertia_gradients_normalized dtype: float64 splits: - name: train num_bytes: 12792894384 num_examples: 821594 download_size: 8030956000 dataset_size: 12792894384 configs: - config_name: default data_files: - split: train path: data/train-* ---

316usman/med-qa-option-with-answer-format

316usman

--- dataset_info: features: - name: prompt dtype: string - name: completion dtype: string splits: - name: train num_bytes: 9430572 num_examples: 10178 - name: test num_bytes: 1206375 num_examples: 1273 - name: validation num_bytes: 1179081 num_examples: 1272 download_size: 6817888 dataset_size: 11816028 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

kodetr/stunting-qa-v2

kodetr

--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answer dtype: string - name: source_doc dtype: string splits: - name: train num_bytes: 3624459 num_examples: 3739 download_size: 1858365 dataset_size: 3624459 configs: - config_name: default data_files: - split: train path: data/train-* ---

Skyler215/KTVIC

Skyler215

--- dataset_info: features: - name: img_new dtype: image - name: labels_new dtype: string splits: - name: train num_bytes: 16482412849.5 num_examples: 15076 - name: val num_bytes: 4075602406.875 num_examples: 3769 - name: test num_bytes: 2937043726.25 num_examples: 2790 download_size: 20966432847 dataset_size: 23495058982.625 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* ---

zelk12/string_in_number

zelk12

--- language: - en --- Дата сет который будет содержать данные в следующем виде, текст и его представление в числе из 6-ти цифр.

kavanamk/LOL

kavanamk

--- license: unknown ---

Ro551/corruptedText_GEC_spanish_med

Ro551

--- dataset_info: features: - name: sentence dtype: string - name: corrupted dtype: string - name: tokens sequence: string - name: error_tags sequence: class_label: names: '0': O '1': G/gen '2': G/num-sing '3': G/num-plur '4': G/verbForm '5': G/uArt '6': G/wo '7': P/missing '8': S/title '9': S/noAccent - name: error_type sequence: string splits: - name: train num_bytes: 482913560 num_examples: 342835 download_size: 196748072 dataset_size: 482913560 configs: - config_name: default data_files: - split: train path: data/train-* ---

hexuan21/math-sft-mix-full-w2-sub-1

hexuan21

--- license: apache-2.0 ---

lorixmassello/Akka_Finetuning_Llama3.2

lorixmassello

--- task_categories: - question-answering language: - en tags: - dsl - code - akka - llama pretty_name: akka_dsl_llama ---

asoria/test_repo

asoria

--- dataset_info: features: - name: category dtype: string - name: headline dtype: string - name: summary dtype: string - name: time dtype: string - name: image struct: - name: alt dtype: string - name: src dtype: string - name: link dtype: string splits: - name: train num_bytes: 5367 num_examples: 11 download_size: 7816 dataset_size: 5367 configs: - config_name: default data_files: - split: train path: data/train-* ---

ziyu3141/rich_feedbac3

ziyu3141

--- dataset_info: features: - name: number dtype: int64 - name: matrix sequence: sequence: int64 splits: - name: train num_bytes: 96 num_examples: 1 download_size: 1795 dataset_size: 96 configs: - config_name: default data_files: - split: train path: data/train-* ---

akhooli/ar_mmarco_dfs200k_q

akhooli

--- license: mit dataset_info: features: - name: query_id dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 13646887 num_examples: 200000 download_size: 8215562 dataset_size: 13646887 configs: - config_name: default data_files: - split: train path: data/train-* ---

sumuks/fairytaleqa-single-shot-questions-multihop-original-in-progress

sumuks

--- dataset_info: features: - name: chunk_ids sequence: string - name: generator_model dtype: string - name: question_type dtype: string - name: question dtype: string - name: answer dtype: string - name: document_analysis dtype: string - name: chunk_analysis sequence: string - name: potential_question_directions sequence: string - name: best_direction dtype: string - name: reasoning dtype: string - name: estimated_difficulty dtype: int64 - name: testable_concepts sequence: string - name: difficulty_justification dtype: string - name: quote_context dtype: string - name: supporting_quotes sequence: string splits: - name: train num_bytes: 1981611 num_examples: 722 download_size: 94235 dataset_size: 1981611 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asap7772/elix_eval_4shot_llama-part1-of-1

Asap7772

--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string splits: - name: train num_bytes: 209849066 num_examples: 16100 download_size: 80632018 dataset_size: 209849066 configs: - config_name: default data_files: - split: train path: data/train-* ---

sseilene/M4-performance-xl

sseilene

--- license: apache-2.0 configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: year dtype: string - name: n_samples dtype: int64 - name: correlation dtype: float64 - name: n_similar dtype: int64 - name: n_unsimilar dtype: int64 - name: auc_score dtype: float64 - name: precision dtype: float64 - name: recall dtype: float64 - name: f1_score dtype: float64 splits: - name: train num_bytes: 2016 num_examples: 28 download_size: 6674 dataset_size: 2016 ---

k4d3/fluent

k4d3

--- license: wtfpl ---

Asap7772/elix_zero_shot_eval

Asap7772

--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string - name: pairs sequence: sequence: int64 - name: sft_target dtype: string - name: level sequence: string - name: last_q dtype: string splits: - name: train num_bytes: 19296332 num_examples: 9 download_size: 165526 dataset_size: 19296332 configs: - config_name: default data_files: - split: train path: data/train-* ---

Newvel/narrativeqa_filtered_unique_tokenized

Newvel

--- dataset_info: features: - name: text dtype: string - name: summary dtype: string - name: __index_level_0__ dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 393223348 num_examples: 1102 - name: test num_bytes: 120596232 num_examples: 355 - name: validation num_bytes: 40456439 num_examples: 115 download_size: 304855049 dataset_size: 554276019 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

Asap7772/hh_length_zero_shot_eval_llama-part1-of-1

Asap7772

--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string splits: - name: train num_bytes: 16720487 num_examples: 8379 download_size: 8824185 dataset_size: 16720487 configs: - config_name: default data_files: - split: train path: data/train-* ---

EleutherAI/profiles_dataset_500_uniform_r17

EleutherAI

--- dataset_info: features: - name: name dtype: string - name: index dtype: int32 - name: birth_date dtype: timestamp[s] - name: birth_city dtype: string - name: university dtype: string - name: employer dtype: string - name: parent struct: - name: name dtype: string - name: index dtype: int32 - name: child struct: - name: name dtype: string - name: index dtype: int32 - name: best_friend struct: - name: name dtype: string - name: index dtype: int32 - name: worst_enemy struct: - name: name dtype: string - name: index dtype: int32 - name: sibling struct: - name: name dtype: string - name: index dtype: int32 - name: spouse struct: - name: name dtype: string - name: index dtype: int32 - name: cousin struct: - name: name dtype: string - name: index dtype: int32 - name: grandparent struct: - name: name dtype: string - name: index dtype: int32 - name: grandchild struct: - name: name dtype: string - name: index dtype: int32 - name: business_partner struct: - name: name dtype: string - name: index dtype: int32 - name: protege struct: - name: name dtype: string - name: index dtype: int32 - name: mentor struct: - name: name dtype: string - name: index dtype: int32 - name: betrayer struct: - name: name dtype: string - name: index dtype: int32 - name: debtor struct: - name: name dtype: string - name: index dtype: int32 - name: blackmailer struct: - name: name dtype: string - name: index dtype: int32 - name: hero struct: - name: name dtype: string - name: index dtype: int32 - name: evil_twin struct: - name: name dtype: string - name: index dtype: int32 - name: bio dtype: string splits: - name: train num_bytes: 304644 num_examples: 500 download_size: 199694 dataset_size: 304644 configs: - config_name: default data_files: - split: train path: data/train-* ---

AK115/MBL

AK115

--- license: apache-2.0 dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 25649 num_examples: 43 download_size: 16738 dataset_size: 25649 configs: - config_name: default data_files: - split: train path: data/train-* ---

qfq/train_rawcot_o1_preview_noanswer

qfq

--- dataset_info: features: - name: question dtype: string - name: solution dtype: string - name: attempt dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot sequence: string splits: - name: train num_bytes: 8472226 num_examples: 1146 download_size: 3811067 dataset_size: 8472226 configs: - config_name: default data_files: - split: train path: data/train-* ---

ecaccam/armada-logics-ft

ecaccam

--- license: apache-2.0 --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [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 should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, 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 dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

rathore11/cheeku

rathore11

--- license: apache-2.0 ---

AnshuPatel-Vikalp/nutritions

AnshuPatel-Vikalp

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5854 num_examples: 33 download_size: 5857 dataset_size: 5854 configs: - config_name: default data_files: - split: train path: data/train-* ---

Raeya/final

Raeya

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 83838970.45 num_examples: 1190 download_size: 91471710 dataset_size: 83838970.45 configs: - config_name: default data_files: - split: train path: data/train-* ---

Donghyun99/Stanford-Dogs

Donghyun99

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': English_foxhound '1': dhole '2': Chesapeake_Bay_retriever '3': Irish_wolfhound '4': Afghan_hound '5': Australian_terrier '6': Saint_Bernard '7': dingo '8': Siberian_husky '9': Sealyham_terrier '10': redbone '11': Norwegian_elkhound '12': schipperke '13': soft '14': komondor '15': affenpinscher '16': Kerry_blue_terrier '17': Pekinese '18': black '19': malinois '20': Boston_bull '21': Airedale '22': otterhound '23': Samoyed '24': standard_poodle '25': basset '26': Maltese_dog '27': Bedlington_terrier '28': Lhasa '29': Great_Pyrenees '30': Scottish_deerhound '31': Cardigan '32': English_springer '33': German_shepherd '34': Lakeland_terrier '35': Italian_greyhound '36': Norfolk_terrier '37': keeshond '38': curly '39': Irish_terrier '40': Japanese_spaniel '41': Greater_Swiss_Mountain_dog '42': EntleBucher '43': borzoi '44': American_Staffordshire_terrier '45': Gordon_setter '46': Doberman '47': Appenzeller '48': Border_terrier '49': Mexican_hairless '50': Rhodesian_ridgeback '51': bloodhound '52': pug '53': Sussex_spaniel '54': kelpie '55': French_bulldog '56': cocker_spaniel '57': Border_collie '58': Bouvier_des_Flandres '59': giant_schnauzer '60': toy_terrier '61': Blenheim_spaniel '62': miniature_pinscher '63': Bernese_mountain_dog '64': West_Highland_white_terrier '65': golden_retriever '66': Shetland_sheepdog '67': Ibizan_hound '68': kuvasz '69': Tibetan_mastiff '70': papillon '71': Weimaraner '72': vizsla '73': whippet '74': briard '75': Tibetan_terrier '76': flat '77': Pomeranian '78': bluetick '79': Staffordshire_bullterrier '80': Rottweiler '81': bull_mastiff '82': silky_terrier '83': Walker_hound '84': Irish_setter '85': cairn '86': Newfoundland '87': Shih '88': wire '89': malamute '90': basenji '91': English_setter '92': miniature_poodle '93': toy_poodle '94': Brabancon_griffon '95': Saluki '96': German_short '97': chow '98': African_hunting_dog '99': Eskimo_dog '100': Welsh_springer_spaniel '101': boxer '102': Old_English_sheepdog '103': Dandie_Dinmont '104': Yorkshire_terrier '105': Irish_water_spaniel '106': groenendael '107': standard_schnauzer '108': Norwich_terrier '109': Brittany_spaniel '110': beagle '111': Scotch_terrier '112': Great_Dane '113': miniature_schnauzer '114': Leonberg '115': collie '116': Labrador_retriever '117': clumber '118': Pembroke '119': Chihuahua splits: - name: train num_bytes: 391917813.06122446 num_examples: 12000 - name: test num_bytes: 294652350.17877555 num_examples: 8580 download_size: 776331392 dataset_size: 686570163.24 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - image-classification language: - en --- # Dataset Card for "Stanford-Dogs" This is a non-official ```Stanford-Dogs``` dataset for **fine-grained** ```Image Classification```. If you want to download the official dataset, please refer to the [here](http://vision.stanford.edu/aditya86/ImageNetDogs/).

ddosxd/merge

ddosxd

<!DOCTYPE html> <html class="" lang="en"> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no" /> <meta name="description" content="We're on a journey to advance and democratize artificial intelligence through open source and open science." /> <meta property="fb:app_id" content="1321688464574422" /> <meta name="twitter:card" content="summary_large_image" /> <meta name="twitter:site" content="@huggingface" /> <meta property="og:title" content="Hugging Face - The AI community building the future." /> <meta property="og:type" content="website" /> <title>Hugging Face - The AI community building the future.</title> <style> body { margin: 0; } main { background-color: white; min-height: 100vh; padding: 7rem 1rem 8rem 1rem; text-align: center; font-family: Source Sans Pro, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji; } img { width: 6rem; height: 6rem; margin: 0 auto 1rem; } h1 { font-size: 3.75rem; line-height: 1; color: rgba(31, 41, 55, 1); font-weight: 700; box-sizing: border-box; margin: 0 auto; } p, a { color: rgba(107, 114, 128, 1); font-size: 1.125rem; line-height: 1.75rem; max-width: 28rem; box-sizing: border-box; margin: 0 auto; } .dark main { background-color: rgb(11, 15, 25); } .dark h1 { color: rgb(209, 213, 219); } .dark p, .dark a { color: rgb(156, 163, 175); } </style> <script> // On page load or when changing themes, best to add inline in `head` to avoid FOUC const key = "_tb_global_settings"; let theme = window.matchMedia("(prefers-color-scheme: dark)").matches ? "dark" : "light"; try { const storageTheme = JSON.parse(window.localStorage.getItem(key)).theme; if (storageTheme) { theme = storageTheme === "dark" ? "dark" : "light"; } } catch (e) {} if (theme === "dark") { document.documentElement.classList.add("dark"); } else { document.documentElement.classList.remove("dark"); } </script> </head> <body> <main> <img src="https://cdn-media.huggingface.co/assets/huggingface_logo.svg" alt="" /> <div> <h1>503</h1> <p>Hugging Face is currently experiencing infrastructure issues, we are working on it.</p> </div> </main> </body> </html>

un-Loc/dataset-warsaw-palace

un-Loc

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 68221298.0 num_examples: 34 download_size: 68077529 dataset_size: 68221298.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

UserID004/asheley_dataset

UserID004

--- license: apache-2.0 ---

mpieck/glaive-function-calling-v2-pl

mpieck

--- language: - pl license: apache-2.0 size_categories: - 1K<n<10K task_categories: - text-generation - question-answering dataset_info: features: - name: chat dtype: string - name: system dtype: string splits: - name: train num_bytes: 1560423 num_examples: 1014 download_size: 417389 dataset_size: 1560423 configs: - config_name: default data_files: - split: train path: data/train-* tags: - function-calling - LLM agent - code --- # Dataset Card for glaive-function-calling-v2-pl Dataset ## Dataset Description This is a fragment of [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) dataset translated to polish. It contains first 1k instructions of the original dataset. Only instructions having function definitions and function calls are included, instructions without function calls from the original dataset are skipped. The [speakleash/Bielik-11B-v2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct) LLM was used for english-polish translation of this dataset. The LLM traslation of every instruction in this dataset was manually verified and fixed if any errors were founds. ## Dataset Structure The dataset contains 2 fields: system and chat text. The property names in function definitions and function calls in JSON format were kept in english, the rest of text was translated to polish. ### Data Field `chat`: user/assistant messages with function calls `system`: system prompt with avaliable functions definitions ### Example instruction system: ```text Jesteś pomocnym asystentem z dostępem do następujących funkcji. Użyj ich, jeśli będzie to potrzebne. { "name": "generate_random_password", "description": "Generowanie losowego hasła", "parameters": { "type": "object", "properties": { "length": { "type": "integer", "description": "Długość hasła" } }, "required": [ "length" ] } } ``` chat: ```text USER: Cześć, potrzebuję nowego hasła. Czy możesz wygenerować dla mnie losowe? ASSISTANT: Oczywiście, mogę Ci w tym pomóc. Jak długie chciałbyś, żeby było twoje hasło? <|endoftext|> USER: Chciałbym, żeby miało 12 znaków długości. ASSISTANT: <functioncall> {"name": "generate_random_password", "arguments": {"length": 12}} <|endoftext|> FUNCTION RESPONSE: {"password": "aB3$fg7&KLo9"} ASSISTANT: Oto Twoje nowe hasło: aB3$fg7&KLo9. Upewnij się, że zapiszesz je w bezpiecznym miejscu. <|endoftext|> ``` ### License Apache 2.0 ### Author Maciej Piecko

MLDS-NUS/double_pendulum

MLDS-NUS

--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 53604609.638 num_examples: 1391 download_size: 53638781 dataset_size: 53604609.638 configs: - config_name: default data_files: - split: train path: data/train-* ---

5CD-AI/Viet-syntheticDocQA_artificial_intelligence_test-Gemini

5CD-AI

--- dataset_info: features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: answer dtype: string - name: page dtype: string - name: model dtype: string - name: prompt dtype: string - name: source dtype: string - name: vi_image dtype: image - name: original_text dtype: string - name: translated_text dtype: string splits: - name: test num_bytes: 60601333.0 num_examples: 100 download_size: 30329589 dataset_size: 60601333.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

FrancophonIA/Vocabulaire_panlatin_du_surf

FrancophonIA

--- language: - en - it - ca - es - fr - gl - pt - ro tags: - es_ES - fr_FR - fr_QC - pt_BR multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://www.culture.gouv.fr/Thematiques/langue-francaise-et-langues-de-france/Agir-pour-les-langues/Moderniser-et-enrichir-la-langue-francaise/Nos-publications/vocabulaires-panlatins-du-sport/vocabulaire-panlatin-du-surf ## Description Ce lexique est le fruit d’une collaboration entre la Délégation générale à la langue française et aux langues de France, le réseau panlatin de terminologie REALITER et l’Université Paul Valéry de Montpellier. Réalisé dans la perspective des Jeux olympiques de 2024, il décline les termes du surf en catalan, en espagnol d'Espagne, en français de France et du Québec, en galicien, en italien, en portugais du Brésil, en roumain, et en anglais.

FrancophonIA/Vocabulaire_panlatin_nanotechnologie_2

FrancophonIA

--- language: - it - ca - es - fr - gl - pt - ro - en tags: - pt_BR - pt_PT - es_AR - es_ES - fr_QC multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://www.realiter.net/fr/lessici-realiter ## Description Élaboration d’un lexique de 160 concepts relatifs au domaine de la nanotechnologie, un domaine multidisciplinaire. La nanotechnologie s’intéresse surtout à la fabrication de structures moléculaires qui comportent au moins une dimension mesurant entre 1 et 100 nanomètres. Ainsi, certains termes traités dans le lexique désignent les techniques, les instruments et les unités de mesure qui sont employés pour étudier et fabriquer des entités de taille nanométrique. De façon générale, les termes de la nomenclature présentée se rattachent dans leur ensemble à la physique, à la chimie, à la biologie, à l’électronique et à l’informatique.

FrancophonIA/Vocabulaire_panlatin_velo

FrancophonIA

--- language: - it - ca - es - fr - gl - pt - ro - en tags: - es_ES - es_MX - pt_BR - pt_PT - fr_QC multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://www.realiter.net/fr/lessici-realiter

NAMAA-Space/Arabic-Triplet-With-Multi-Negatives

NAMAA-Space

--- license: apache-2.0 task_categories: - feature-extraction - sentence-similarity language: - ar size_categories: - 10K<n<100K --- # Arabic Triplet with Multi Negatives ## Dataset Summary This dataset is a modified version of the Arabic subset of the [Mr. TyDi dataset](https://huggingface.co/datasets/castorini/mr-tydi), tailored for retrieval and re-ranking tasks. The original dataset has been restructured by splitting the negative passages into separate fields (`negative1`, `negative2`, ..., `negativeN`) for each query. This modification allows more flexibility for training and evaluating retrieval and re-ranking models. The dataset retains the original intent of Mr. Tydi, focusing on monolingual retrieval for the Arabic language while offering a new structure for ease of use in ranking-based learning tasks. ## Dataset Structure The dataset includes train split only where each query is paired with a set of positive passages and multiple individually enumerated negative passages (up to 30). ### Example Data #### Train Set ```json { "query_id": "1", "query": "متى تم تطوير نظرية الحقل الكمي؟", "positive_passages": [ { "text": "بدأت نظرية الحقل الكمي بشكل طبيعي بدراسة التفاعلات الكهرومغناطيسية ..." } ], "negative1": { "text": "تم تنفيذ النهج مؤخرًا ليشمل نسخة جبرية من الحقل الكمي ..." }, "negative2": { "text": "تتناول هذه المقالة الخلفية التاريخية لتطوير نظرية الحقل ..." }, ... } ``` ### Language Coverage The dataset focuses exclusively on the **Arabic** subset of Mr. TyDi. ### Loading the Dataset You can load the dataset using the **datasets** library from Hugging Face: ```python from datasets import load_dataset dataset = load_dataset('NAMAA-Space/Arabic-Triplet-With-Multi-Negatives') dataset ``` ### Dataset Usage The new format facilitates training retrieval and re-ranking models by providing explicit negative passage fields. This structure simplifies the handling of negative examples during model training and evaluation. ### Citation Information If you use this dataset in your research, please cite the original Mr. TyDi paper and this dataset as follows: ``` @article{mrtydi, title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval}, author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin}, year={2021}, journal={arXiv:2108.08787}, } @dataset{Namaa, title={Arabic Triplet With Multi Negatives}, author={Omer Nacar}, year={2024}, note={Hugging Face Dataset Repository} } ```

MarcMill/biobertv1

MarcMill

--- license: apache-2.0 ---

aminv/wordpress_qa

aminv

--- license: mit ---

FrancophonIA/Belgian_government_bilingual_parallel_corpus

FrancophonIA

--- language: - nl - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/18952 ## Description Aligned texts from the Belgian government in French and Dutch (aligned with SDL Trados Studio) ## Citation ``` Belgian government bilingual parallel corpus (2022). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/18952 ```

FrancophonIA/Translations_Hungarian_public_websites

FrancophonIA

--- language: - fr - pl - cs - sv - fi - de - it - en - sl multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/18982 ## Description A webcrawl of 14 different websites covering parallel corpora of Hungarian with Polish, Czech, Swedish, Finnish, French, German, Italian, English and Slovenian ## Citation ``` Translations of Hungarian from public websites (2022). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/18982 ```

FrancophonIA/Charter_values_citizenship_integration

FrancophonIA

--- language: - de - es - en - it - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/19058 ## Description The integration agreement form prepared for signing the pact between foreign and state, in addition to providing the alien's commitments, indicates, the statement by the person concerned, to adhere to the Charter of the values of citizenship and integration of the decree of the Minister of 23 April 2007, pledging to respect its principles. The Charter of citizenship and integration values adopted in 2007 summarizes the fundamental principles of our legal system governing the collective life, both citizens and immigrants. The Charter, drawn up according to the principles of the Italian Constitution and the major European Charters and international human rights, focuses especially on those issues that multiculturalism poses to Western societies. - Corpora Multilingual - Provided by Flavia Vecchione. - MINISTERO DELL’INTERNO website ## Citation ``` CHARTER OF VALUES OF CITIZENSHIP AND INTEGRATION (Processed) (2018, October 04). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/19058 ```

FrancophonIA/Cyprus_Europe

FrancophonIA

--- language: - en - de - el - fr multilingulality: - multilingual task_categories: - translation viewer: false --- > [!NOTE] > Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/18916 ## Description It contains 28 txt files (7 in English, 7 in French, 7 in German and 7 in Greek), parts of the publication "Cyprus has always been Europe 2017" of the Press and Information Office of Cyprus. ## Citation ``` PIO Publication "Cyprus has always been Europe 2017" (2018, December 18). Version 1.0. [Dataset (Text corpus)]. Source: European Language Grid. https://live.european-language-grid.eu/catalogue/corpus/19081 ```

LLAAMM/text2image1m

LLAAMM

--- language: - en size_categories: - 100K<n<1M task_categories: - text-to-image dataset_info: features: - name: text dtype: string - name: image dtype: image splits: - name: train num_bytes: 7805188493.0 num_examples: 1000000 download_size: 7719745028 dataset_size: 7805188493.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

StudMSacc/Ultrachat-200k-fixed

StudMSacc

--- license: apache-2.0 ---

Thermostatic/Biblia-Antiguo-Testamento-Nahuatl-Huasteca-Oriental

Thermostatic

--- license: mit ---