Datasets:

---

librarian-bots

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dataset_cards_with_metadata

like 12

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Librarian Bots 103

violetxi/NUMINA-V2-Clean-Blocks-10000_10500-0_10

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 201278847 num_examples: 32432 download_size: 21030168 dataset_size: 201278847 configs: - config_name: default data_files: - split: train path: data/train-* ---

Shannnh/baseline-dataset-5

Shannnh

--- dataset_info: features: - name: document dtype: string - name: question dtype: string - name: short_answers dtype: string - name: predicted_answer dtype: string splits: - name: validation num_bytes: 170508582 num_examples: 4289 download_size: 88082731 dataset_size: 170508582 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

rrvaswin/_5_turns_only_ckp_1

rrvaswin

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 4260 num_examples: 1 download_size: 6123 dataset_size: 4260 configs: - config_name: default data_files: - split: train path: data/train-* ---

marcov/narrativeqa_promptsource

marcov

--- dataset_info: features: - name: document struct: - name: id dtype: string - name: kind dtype: string - name: url dtype: string - name: file_size dtype: int32 - name: word_count dtype: int32 - name: start dtype: string - name: end dtype: string - name: summary struct: - name: text dtype: string - name: tokens sequence: string - name: url dtype: string - name: title dtype: string - name: text dtype: string - name: question struct: - name: text dtype: string - name: tokens sequence: string - name: answers list: - name: text dtype: string - name: tokens sequence: string - name: template_name dtype: string - name: template dtype: string - name: rendered_input dtype: string - name: rendered_output dtype: string splits: - name: train num_bytes: 160551425136.863 num_examples: 261796 - name: test num_bytes: 49308994394.0 num_examples: 84456 - name: validation num_bytes: 16711465478.905663 num_examples: 27508 download_size: 117855548227 dataset_size: 226571885009.76868 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_6

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 8755033 num_examples: 1642 download_size: 1746862 dataset_size: 8755033 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_20

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 11380 num_examples: 3 download_size: 28475 dataset_size: 11380 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_7

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 9228105 num_examples: 1642 download_size: 1806388 dataset_size: 9228105 configs: - config_name: default data_files: - split: train path: data/train-* ---

violetxi/NUMINA-V2-Clean-Blocks-1100_1200-0_45

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 1321241837 num_examples: 164256 download_size: 136222829 dataset_size: 1321241837 configs: - config_name: default data_files: - split: train path: data/train-* ---

hlm22/lerobot_test

hlm22

--- license: apache-2.0 dataset_info: features: - name: observation.images.camera1 dtype: video_frame - name: observation.images.camera2 dtype: video_frame - name: observation.state sequence: float32 length: 4 - name: observation.effort sequence: float32 length: 4 - name: action sequence: float32 length: 3 - name: episode_index dtype: int64 - name: frame_index dtype: int64 - name: timestamp dtype: float32 - name: next.done dtype: bool - name: index dtype: int64 splits: - name: train num_bytes: 4804 num_examples: 25 download_size: 9274 dataset_size: 4804 configs: - config_name: default data_files: - split: train path: data/train-* ---

sajadh/SAJADH-llama2-1k

sajadh

--- dataset_info: features: - name: message_id dtype: string - name: parent_id dtype: string - name: user_id dtype: string - name: created_date dtype: string - name: text dtype: string - name: role dtype: string - name: lang dtype: string - name: review_count dtype: float64 - name: review_result dtype: bool - name: deleted dtype: bool - name: rank dtype: float64 - name: synthetic dtype: bool - name: model_name dtype: 'null' - name: detoxify struct: - name: identity_attack dtype: float64 - name: insult dtype: float64 - name: obscene dtype: float64 - name: severe_toxicity dtype: float64 - name: sexual_explicit dtype: float64 - name: threat dtype: float64 - name: toxicity dtype: float64 - name: message_tree_id dtype: string - name: tree_state dtype: string - name: emojis struct: - name: count sequence: int64 - name: name sequence: string - name: labels struct: - name: count sequence: int64 - name: name sequence: string - name: value sequence: float64 splits: - name: train num_bytes: 107144003 num_examples: 85443 download_size: 40516221 dataset_size: 107144003 configs: - config_name: default data_files: - split: train path: data/train-* ---

haorandai/Nov_Clean_Banana_Orange_5samples_with5constraints

haorandai

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 377100.0 num_examples: 10 download_size: 378005 dataset_size: 377100.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/conversational_ai_turn_0_checkpoint

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 31682 num_examples: 20 download_size: 8130 dataset_size: 31682 configs: - config_name: default data_files: - split: train path: data/train-* ---

haorandai/Nov_Clean_Mice_Orange_5samples_with5constraints

haorandai

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 484845.0 num_examples: 10 download_size: 485751 dataset_size: 484845.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/conversational_ai_turn_1_checkpoint

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 163897 num_examples: 20 download_size: 21136 dataset_size: 163897 configs: - config_name: default data_files: - split: train path: data/train-* ---

haorandai/Nov_Clean_Bicycle_Orange_5samples_with5constraints

haorandai

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 474223.0 num_examples: 10 download_size: 475138 dataset_size: 474223.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/conversational_ai_turn_3_checkpoint

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 474254 num_examples: 20 download_size: 30485 dataset_size: 474254 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/conversational_ai_turn_4_checkpoint

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 644474 num_examples: 20 download_size: 35059 dataset_size: 644474 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/conversational_ai

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 644474 num_examples: 20 download_size: 35059 dataset_size: 644474 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test_turn_0_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 26929 num_examples: 10 download_size: 12127 dataset_size: 26929 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_15

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 8353113 num_examples: 1642 download_size: 1652029 dataset_size: 8353113 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test_turn_3_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 38414 num_examples: 10 download_size: 20009 dataset_size: 38414 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test_turn_4_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 41427 num_examples: 10 download_size: 20173 dataset_size: 41427 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 41427 num_examples: 10 download_size: 20173 dataset_size: 41427 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_9

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 8474899 num_examples: 1642 download_size: 1765624 dataset_size: 8474899 configs: - config_name: default data_files: - split: train path: data/train-* ---

Tippawan/train1

Tippawan

--- dataset_info: features: - name: incorrect dtype: string - name: correct dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 18622956 num_examples: 92337 download_size: 8482017 dataset_size: 18622956 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_12

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string - name: justification dtype: string splits: - name: train num_bytes: 8981631 num_examples: 1642 download_size: 1731185 dataset_size: 8981631 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Vansh3333

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 170796 num_examples: 87 download_size: 72034 dataset_size: 170796 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Mohit3999

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 - name: completeness_score.responses.users sequence: string - name: actionable_score.responses.status sequence: string - name: clarity_score.responses.status sequence: string - name: feedback.responses sequence: string - name: accuracy_score.responses.status sequence: string - name: relevance_score.responses.users sequence: string - name: relevance_score.responses.status sequence: string - name: engagement_score.responses.users sequence: string - name: accuracy_score.responses sequence: int64 - name: actionable_score.responses sequence: int64 - name: completeness_score.responses.status sequence: string - name: accuracy_score.responses.users sequence: string - name: actionable_score.responses.users sequence: string - name: engagement_score.responses sequence: int64 - name: clarity_score.responses sequence: int64 - name: feedback.responses.users sequence: string - name: feedback.responses.status sequence: string - name: engagement_score.responses.status sequence: string - name: clarity_score.responses.users sequence: string - name: completeness_score.responses sequence: int64 - name: relevance_score.responses sequence: int64 splits: - name: train num_bytes: 1656817 num_examples: 402 download_size: 507922 dataset_size: 1656817 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/dyvanshu132

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 177586 num_examples: 55 download_size: 48279 dataset_size: 177586 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Nithin138

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 18613 num_examples: 5 download_size: 26184 dataset_size: 18613 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Amita2012

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 175408 num_examples: 22 download_size: 65416 dataset_size: 175408 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Trisha

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 - name: relevance_score.responses sequence: int64 - name: relevance_score.responses.users sequence: string - name: relevance_score.responses.status sequence: string - name: accuracy_score.responses sequence: int64 - name: accuracy_score.responses.users sequence: string - name: accuracy_score.responses.status sequence: string - name: clarity_score.responses sequence: int64 - name: clarity_score.responses.users sequence: string - name: clarity_score.responses.status sequence: string - name: actionable_score.responses sequence: int64 - name: actionable_score.responses.users sequence: string - name: actionable_score.responses.status sequence: string - name: engagement_score.responses sequence: int64 - name: engagement_score.responses.users sequence: string - name: engagement_score.responses.status sequence: string - name: completeness_score.responses sequence: int64 - name: completeness_score.responses.users sequence: string - name: completeness_score.responses.status sequence: string - name: feedback.responses sequence: string - name: feedback.responses.users sequence: string - name: feedback.responses.status sequence: string splits: - name: train num_bytes: 1445444 num_examples: 119 download_size: 457191 dataset_size: 1445444 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Pranav2533

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 453634 num_examples: 56 download_size: 175363 dataset_size: 453634 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Gaurav12321

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 66125 num_examples: 10 download_size: 35985 dataset_size: 66125 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Abhishek111222

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 - name: relevance_score.responses sequence: int64 - name: relevance_score.responses.users sequence: string - name: relevance_score.responses.status sequence: string - name: accuracy_score.responses sequence: int64 - name: accuracy_score.responses.users sequence: string - name: accuracy_score.responses.status sequence: string - name: clarity_score.responses sequence: int64 - name: clarity_score.responses.users sequence: string - name: clarity_score.responses.status sequence: string - name: actionable_score.responses sequence: int64 - name: actionable_score.responses.users sequence: string - name: actionable_score.responses.status sequence: string - name: engagement_score.responses sequence: int64 - name: engagement_score.responses.users sequence: string - name: engagement_score.responses.status sequence: string - name: completeness_score.responses sequence: int64 - name: completeness_score.responses.users sequence: string - name: completeness_score.responses.status sequence: string - name: feedback.responses sequence: string - name: feedback.responses.users sequence: string - name: feedback.responses.status sequence: string splits: - name: train num_bytes: 436906 num_examples: 55 download_size: 140414 dataset_size: 436906 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/AmitPathak123

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 - name: relevance_score.responses sequence: int64 - name: relevance_score.responses.users sequence: string - name: relevance_score.responses.status sequence: string - name: accuracy_score.responses sequence: int64 - name: accuracy_score.responses.users sequence: string - name: accuracy_score.responses.status sequence: string - name: clarity_score.responses sequence: int64 - name: clarity_score.responses.users sequence: string - name: clarity_score.responses.status sequence: string - name: actionable_score.responses sequence: int64 - name: actionable_score.responses.users sequence: string - name: actionable_score.responses.status sequence: string - name: engagement_score.responses sequence: int64 - name: engagement_score.responses.users sequence: string - name: engagement_score.responses.status sequence: string - name: completeness_score.responses sequence: int64 - name: completeness_score.responses.users sequence: string - name: completeness_score.responses.status sequence: string - name: feedback.responses sequence: string - name: feedback.responses.users sequence: string - name: feedback.responses.status sequence: string splits: - name: train num_bytes: 115919 num_examples: 15 download_size: 66183 dataset_size: 115919 configs: - config_name: default data_files: - split: train path: data/train-* ---

vanshp1232/Prithvi1232

vanshp1232

--- dataset_info: features: - name: id dtype: string - name: status dtype: string - name: _server_id dtype: string - name: instruction dtype: string - name: conv_id dtype: string - name: turn dtype: int64 splits: - name: train num_bytes: 99408 num_examples: 9 download_size: 43599 dataset_size: 99408 configs: - config_name: default data_files: - split: train path: data/train-* ---

Noveled/minhwa_dataset_1126_01

Noveled

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 29247593.0 num_examples: 186 download_size: 28406548 dataset_size: 29247593.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

violetxi/NUMINA-V2-Clean-Blocks-1400_1600-1_4

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 47746408 num_examples: 7936 download_size: 5337265 dataset_size: 47746408 configs: - config_name: default data_files: - split: train path: data/train-* ---

cc0de/Pile_arXiv

cc0de

--- license: mit ---

mlfoundations-dev/oh_v3.1_wo_camel_ai_biology

mlfoundations-dev

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source_label_exact sequence: string splits: - name: train num_bytes: 1950265226 num_examples: 988199 download_size: 1025294707 dataset_size: 1950265226 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/oh_v1.2_sin_slim_orca_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: projected_gradients_embeddings dtype: float64 - name: new_conversations dtype: string - name: projected_gradients dtype: string - name: projected_gradients_vendi dtype: float64 - name: projected_gradients_log_det dtype: float64 - name: projected_embeddings_log_det dtype: float64 - name: kmeans_inertia_gradients dtype: float64 - name: kmeans_inertia_gradients_normalized dtype: float64 splits: - name: train num_bytes: 5853259315 num_examples: 365464 download_size: 3370112412 dataset_size: 5853259315 configs: - config_name: default data_files: - split: train path: data/train-* ---

naytin/turkish-sentiment-analysis-dataset_ENG

naytin

--- language: - en license: cc-by-nc-nd-4.0 ---

liangzid/robench-eval-Time3-s

liangzid

--- dataset_info: features: - name: shuffled_text dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2098318 num_examples: 2930 download_size: 1175759 dataset_size: 2098318 configs: - config_name: default data_files: - split: train path: data/train-* ---

JJuny/llama2_DYD_train

JJuny

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 966783 num_examples: 219 download_size: 186893 dataset_size: 966783 configs: - config_name: default data_files: - split: train path: data/train-* ---

JJuny/llama2_DYD_eval

JJuny

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 22259 num_examples: 5 download_size: 6857 dataset_size: 22259 configs: - config_name: default data_files: - split: train path: data/train-* ---

liangzid/robench-eval-Time4-s

liangzid

--- dataset_info: features: - name: shuffled_text dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2068681 num_examples: 2931 download_size: 1155052 dataset_size: 2068681 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test_2_turn_4_ckp

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 26142 num_examples: 10 download_size: 16524 dataset_size: 26142 configs: - config_name: default data_files: - split: train path: data/train-* ---

junnystateofmind/fast_test_2

junnystateofmind

--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 26142 num_examples: 10 download_size: 16524 dataset_size: 26142 configs: - config_name: default data_files: - split: train path: data/train-* ---

AnsenH/cartoon_lora

AnsenH

--- license: apache-2.0 ---

liangzid/robench-eval-Time7-s

liangzid

--- dataset_info: features: - name: shuffled_text dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2081816 num_examples: 2931 download_size: 1162897 dataset_size: 2081816 configs: - config_name: default data_files: - split: train path: data/train-* ---

liangzid/robench-eval-Time10-s

liangzid

--- dataset_info: features: - name: shuffled_text dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2080323 num_examples: 2931 download_size: 1160407 dataset_size: 2080323 configs: - config_name: default data_files: - split: train path: data/train-* ---

marcov/ambig_qa_light_promptsource

marcov

--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: annotations sequence: - name: type dtype: string - name: answer sequence: string - name: qaPairs sequence: - name: question dtype: string - name: answer sequence: string - name: template_name dtype: string - name: template dtype: string - name: rendered_input dtype: string - name: rendered_output dtype: string splits: - name: train num_bytes: 75255907.0 num_examples: 50180 - name: validation num_bytes: 16331293.0 num_examples: 10010 download_size: 14453361 dataset_size: 91587200.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

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-* ---

plaguss/test_math_shepherd_prm_4

plaguss

--- size_categories: n<1K dataset_info: features: - name: instruction dtype: string - name: answer dtype: string - name: golden_solution sequence: string - name: model_name dtype: string - name: solutions sequence: string - name: distilabel_metadata struct: - name: statistics_completer struct: - name: input_tokens sequence: int64 - name: output_tokens sequence: int64 - name: input dtype: string - name: label dtype: string splits: - name: train num_bytes: 29324 num_examples: 11 download_size: 26974 dataset_size: 29324 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for test_math_shepherd_prm_4 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test_math_shepherd_prm_4/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test_math_shepherd_prm_4/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "answer": "Janet sells 16 - 3 - 4 = \u003c\u003c16-3-4=9\u003e\u003e9 duck eggs a day.\nShe makes 9 * 2 = $\u003c\u003c9*2=18\u003e\u003e18 every day at the farmer\u2019s market.\n#### 18", "distilabel_metadata": { "statistics_completer": { "input_tokens": [ 714 ], "output_tokens": [ 352 ] } }, "golden_solution": [ "Step 1: Calculate the total number of eggs laid by the ducks per day: 16 eggs", "Step 2: Calculate the number of eggs Janet uses for breakfast and baking: 3 (for breakfast) + 4 (for baking) = 7 eggs", "Step 3: Calculate the number of eggs left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs", "Step 4: Calculate the total amount Janet makes from selling eggs: 9 eggs * $2 per egg = \u003c\u003c9*2=18\u003e\u003e18 dollars", "The answer is: 18" ], "input": "Janet\u2019s ducks lay 16 eggs per day. She eats three for breakfast every morning and bakes muffins for her friends every day with four. She sells the remainder at the farmers\u0027 market daily for $2 per fresh duck egg. How much in dollars does she make every day at the farmers\u0027 market? Step 1: Calculate the number of eggs laid per day: 1\u043a\u0438\nStep 2: Calculate the number of eggs Janet eats for breakfast: 3 \u043a\u0438\nStep 3: Calculate the number of eggs Janet bakes for her friends: 4 \u043a\u0438\nStep 4: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs \u043a\u0438\nStep 5: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars The answer is: 18\n\n## Solution 2\n\nStep 1: Calculate the number of eggs laid per day: 16\nStep 2: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 3\n\nStep 1: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 2: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 4\n\nStep 1: Calculate the number of eggs Janet eats for breakfast: 3\nStep 2: Calculate the number of eggs Janet bakes for her friends: 4\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 5\n\nStep 1: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 2: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 3: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18 \u043a\u0438", "instruction": "Janet\u2019s ducks lay 16 eggs per day. She eats three for breakfast every morning and bakes muffins for her friends every day with four. She sells the remainder at the farmers\u0027 market daily for $2 per fresh duck egg. How much in dollars does she make every day at the farmers\u0027 market?", "label": "Janet\u2019s ducks lay 16 eggs per day. She eats three for breakfast every morning and bakes muffins for her friends every day with four. She sells the remainder at the farmers\u0027 market daily for $2 per fresh duck egg. How much in dollars does she make every day at the farmers\u0027 market? Step 1: Calculate the number of eggs laid per day: 16\nStep 2: Calculate the number of eggs Janet eats for breakfast: 3 +\nStep 3: Calculate the number of eggs Janet bakes for her friends: 4 +\nStep 4: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs +\nStep 5: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars The answer is: 18\n\n## Solution 2\n\nStep 1: Calculate the number of eggs laid per day: 16\nStep 2: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 3\n\nStep 1: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 2: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 4\n\nStep 1: Calculate the number of eggs Janet eats for breakfast: 3\nStep 2: Calculate the number of eggs Janet bakes for her friends: 4\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 5\n\nStep 1: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 2: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 3: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18 -", "model_name": "meta-llama/Meta-Llama-3.1-8B-Instruct", "solutions": [ "Step 1: Calculate the number of eggs laid per day: 16", "Step 2: Calculate the number of eggs Janet eats for breakfast: 3 +", "Step 3: Calculate the number of eggs Janet bakes for her friends: 4 +", "Step 4: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs +", "Step 5: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars The answer is: 18\n\n## Solution 2\n\nStep 1: Calculate the number of eggs laid per day: 16\nStep 2: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 3\n\nStep 1: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 2: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 4\n\nStep 1: Calculate the number of eggs Janet eats for breakfast: 3\nStep 2: Calculate the number of eggs Janet bakes for her friends: 4\nStep 3: Calculate the number of eggs Janet has left to sell: 16 - (3 + 4) = 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 4: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18\n\n## Solution 5\n\nStep 1: Calculate the total number of eggs used (eaten and baked): 3 + 4 = \u003c\u003c3+4=7\u003e\u003e7\nStep 2: Calculate the number of eggs Janet has left to sell: 16 - 7 = \u003c\u003c16-7=9\u003e\u003e9 eggs\nStep 3: Calculate the amount Janet makes at the farmers\u0027 market: 9 * $2 = \u003c\u003c9*2=18\u003e\u003e18 dollars\nThe answer is: 18 -" ] } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("plaguss/test_math_shepherd_prm_4", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("plaguss/test_math_shepherd_prm_4") ``` </details> ## References ``` @misc{2312.08935, Author = {Peiyi Wang and Lei Li and Zhihong Shao and R. X. Xu and Damai Dai and Yifei Li and Deli Chen and Y. Wu and Zhifang Sui}, Title = {Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations}, Year = {2023}, Eprint = {arXiv:2312.08935}, } ``` ``` @misc{2312.08935, Author = {Peiyi Wang and Lei Li and Zhihong Shao and R. X. Xu and Damai Dai and Yifei Li and Deli Chen and Y. Wu and Zhifang Sui}, Title = {Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations}, Year = {2023}, Eprint = {arXiv:2312.08935}, } ``` ``` @misc{wang2024mathshepherdverifyreinforcellms, title={Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations}, author={Peiyi Wang and Lei Li and Zhihong Shao and R. X. Xu and Damai Dai and Yifei Li and Deli Chen and Y. Wu and Zhifang Sui}, year={2024}, eprint={2312.08935}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2312.08935}, } ``` ``` @misc{wang2024mathshepherdverifyreinforcellms, title={Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations}, author={Peiyi Wang and Lei Li and Zhihong Shao and R. X. Xu and Damai Dai and Yifei Li and Deli Chen and Y. Wu and Zhifang Sui}, year={2024}, eprint={2312.08935}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2312.08935}, } ```

jeongseokoh/MATH-SHEPHERD-CLS

jeongseokoh

--- dataset_info: features: - name: input dtype: string - name: labels sequence: int64 splits: - name: train num_bytes: 402145574 num_examples: 444655 download_size: 170385595 dataset_size: 402145574 configs: - config_name: default data_files: - split: train path: data/train-* ---

xodhks/crawling-emotions-in-google-train

xodhks

--- dataset_info: features: - name: image dtype: image - name: emotion dtype: string - name: label dtype: int32 - name: image_id dtype: string splits: - name: train num_bytes: 138798551.373 num_examples: 2827 download_size: 172574494 dataset_size: 138798551.373 configs: - config_name: default data_files: - split: train path: data/train-* ---

BDRC/LayoutSegmentation_Dataset

BDRC

--- license: mit ---

abluva/NSL-KDD-V2

abluva

--- license: apache-2.0 --- The NSL-KDD V2 is an extended version of NSL-KDD original dataset. The dataset is normalised and 1 additional class is synthesised by mixing multiple non-benign classes. To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed https://www.researchgate.net/publication/382034618_Blender-GAN_Multi-Target_Conditional_Generative_Adversarial_Network_for_Novel_Class_Synthetic_Data_Generation. Citation info: Madhubalan, Akshayraj & Gautam, Amit & Tiwary, Priya. (2024). Blender-GAN: Multi-Target Conditional Generative Adversarial Network for Novel Class Synthetic Data Generation. 1-7. 10.1109/SmartNets61466.2024.10577645. This dataset was made by Abluva Inc, a Palo Alto based, research-driven Data Protection firm. Our data protection platform empowers customers to secure data through advanced security mechanisms such as Fine Grained Access control and sophisticated depersonalization algorithms (e.g. Pseudonymization, Anonymization and Randomization). Abluva's Data Protection solutions facilitate data democratization within and outside the organizations, mitigating the concerns related to theft and compliance. The innovative intrusion detection algorithm by Abluva employs patented technologies for an intricately balanced approach that excludes normal access deviations, ensuring intrusion detection without disrupting the business operations. Abluva’s Solution enables organizations to extract further value from their data by enabling secure Knowledge Graphs and deploying Secure Data as a Service among other novel uses of data. Committed to providing a safe and secure environment, Abluva empowers organizations to unlock the full potential of their data.

dgambettaphd/D_gen3_run1_llama2-7b_wiki_doc1000_real32_synt96

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 527114 num_examples: 1000 download_size: 291319 dataset_size: 527114 configs: - config_name: default data_files: - split: train path: data/train-* ---

abluva/CIC-IDS-2017-V2

abluva

--- license: apache-2.0 --- The CIC-IDS-V2 is an extended version of the original CIC-IDS 2017 dataset. The dataset is normalised and 1 new class called "Comb" is added which is a combination of synthesised data of multiple non-benign classes. To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here: https://www.researchgate.net/publication/382034618_Blender-GAN_Multi-Target_Conditional_Generative_Adversarial_Network_for_Novel_Class_Synthetic_Data_Generation. Citation info: Madhubalan, Akshayraj & Gautam, Amit & Tiwary, Priya. (2024). Blender-GAN: Multi-Target Conditional Generative Adversarial Network for Novel Class Synthetic Data Generation. 1-7. 10.1109/SmartNets61466.2024.10577645. This dataset was made by Abluva Inc, a Palo Alto based, research-driven Data Protection firm. Our data protection platform empowers customers to secure data through advanced security mechanisms such as Fine Grained Access control and sophisticated depersonalization algorithms (e.g. Pseudonymization, Anonymization and Randomization). Abluva's Data Protection solutions facilitate data democratization within and outside the organizations, mitigating the concerns related to theft and compliance. The innovative intrusion detection algorithm by Abluva employs patented technologies for an intricately balanced approach that excludes normal access deviations, ensuring intrusion detection without disrupting the business operations. Abluva’s Solution enables organizations to extract further value from their data by enabling secure Knowledge Graphs and deploying Secure Data as a Service among other novel uses of data. Committed to providing a safe and secure environment, Abluva empowers organizations to unlock the full potential of their data.

paolordls/crosslg-contaminated-benchmark-en-og-sm-0

paolordls

--- dataset_info: features: - name: fake_news dtype: string - name: scenario_id dtype: int64 - name: real_news dtype: string - name: fake_keyword dtype: string - name: real_question dtype: string - name: fake_question dtype: string - name: real_answer dtype: string - name: fake_answer dtype: string splits: - name: train num_bytes: 78984 num_examples: 10 download_size: 98638 dataset_size: 78984 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2f4195a9-8b19-4ab6-9b99-6e163e60251b

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_12d13e90-cc21-4654-abc9-20351dcf8c30

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettaphd/D_gen4_run1_llama2-7b_wiki_doc1000_real32_synt96

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 527236 num_examples: 1000 download_size: 291220 dataset_size: 527236 configs: - config_name: default data_files: - split: train path: data/train-* ---

liangzid/robench-eval-Time29-s

liangzid

--- dataset_info: features: - name: shuffled_text dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2099085 num_examples: 2931 download_size: 1171607 dataset_size: 2099085 configs: - config_name: default data_files: - split: train path: data/train-* ---

VladislavKaryukin/AmericanEnglishTTS

VladislavKaryukin

--- dataset_info: features: - name: audio dtype: audio - name: script dtype: string - name: source dtype: string - name: info dtype: string splits: - name: train num_bytes: 435903544.24 num_examples: 3837 download_size: 478889042 dataset_size: 435903544.24 configs: - config_name: default data_files: - split: train path: data/train-* --- This is an English Speech to Text Corpora Identifier: SLR45 Summary: A free American English corpus by Surfingtech (www.surfing.ai), containing utterances from 10 speakers, Each speaker has about 350 utterances; Category: Speech License: Creative Common BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives 4.0 International)

neoneye/simon-arc-combine-v197

neoneye

--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 197 size_categories: - 1K<n<10K 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`. # Version 115 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_gravity.jsonl` - added - `dataset_solve_grid.jsonl` - `dataset_solve_half.jsonl` - `dataset_solve_halfplane.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 116 Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows. # Version 117 Interesting, 10k rows seems to work fine with the model training. Picked new random rows. # Version 118 Still going with 10k rows. Picked new random rows. # Version 119 Still going with 10k rows. Picked new random rows. # Version 120 Switched to 20k rows. # Version 121 Still going with 20k rows. Picked new random rows. # Version 122 20k rows. Added `dataset_solve_reverse.jsonl`. # Version 123 Doubled the number of rows to 40k rows. # Version 124 Set row count to 100k rows. Major update to `dataset_solve_gravity.jsonl`. # Version 125 Row count: 100k rows. # Version 126 Row count: 20k rows. Only these datasets are enabled: ```txt 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_gravity.jsonl dataset_solve_grid.jsonl dataset_solve_half.jsonl dataset_solve_halfplane.jsonl dataset_solve_mask.jsonl dataset_solve_mass.jsonl dataset_solve_outline.jsonl dataset_solve_probecolor.jsonl dataset_solve_ray.jsonl dataset_solve_reverse.jsonl dataset_solve_rotate.jsonl dataset_solve_scale.jsonl dataset_solve_symmetry.jsonl dataset_solve_translate.jsonl dataset_solve_zindex.jsonl ``` # Version 127 Row count: 20k rows. Only these datasets are enabled: ```txt dataset_solve_scale.jsonl dataset_solve_symmetry.jsonl dataset_solve_translate.jsonl dataset_solve_zindex.jsonl ``` # Version 128 Row count: 20k rows. Only these datasets are enabled: ```txt dataset_solve_probecolor.jsonl dataset_solve_ray.jsonl dataset_solve_reverse.jsonl dataset_solve_rotate.jsonl ``` # Version 129 Row count: 20k rows. Only these datasets are enabled: ```txt dataset_solve_gravity.jsonl dataset_solve_grid.jsonl dataset_solve_half.jsonl dataset_solve_halfplane.jsonl dataset_solve_mask.jsonl dataset_solve_mass.jsonl dataset_solve_outline.jsonl ``` # Version 130 Row count: 20k rows. Only these datasets are enabled: ```txt 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 ``` # Version 131 Switched back to 300k rows. Enabled all the datasets. # Version 132 Random seed. # Version 133 Removed the rows that are longer than what can be fitted inside a 512 context length. # Version 134 Random seed. # Version 135 Random seed. # Version 136 Major update to the `dataset_solve_gravity.jsonl` file. # Version 137 Added dataset `dataset_solve_skew.jsonl`. # Version 138 Disabled several datasets. ```txt # 'dataset_cellular_automaton.jsonl', # 'dataset_dilation.jsonl', # 'dataset_erosion.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_gravity.jsonl', 'dataset_solve_grid.jsonl', 'dataset_solve_half.jsonl', # 'dataset_solve_halfplane.jsonl', 'dataset_solve_mask.jsonl', 'dataset_solve_mass.jsonl', 'dataset_solve_outline.jsonl', 'dataset_solve_probecolor.jsonl', # 'dataset_solve_ray.jsonl', # 'dataset_solve_reverse.jsonl', 'dataset_solve_rotate.jsonl', 'dataset_solve_scale.jsonl', # 'dataset_solve_skew.jsonl', 'dataset_solve_symmetry.jsonl', 'dataset_solve_translate.jsonl', 'dataset_solve_zindex.jsonl', # 'dataset_symmetry.jsonl', ``` # Version 139 Disabled several datasets. ```txt 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.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_gravity.jsonl', # 'dataset_solve_grid.jsonl', # 'dataset_solve_half.jsonl', 'dataset_solve_halfplane.jsonl', # 'dataset_solve_mask.jsonl', # 'dataset_solve_mass.jsonl', # 'dataset_solve_outline.jsonl', # 'dataset_solve_probecolor.jsonl', 'dataset_solve_ray.jsonl', 'dataset_solve_reverse.jsonl', # 'dataset_solve_rotate.jsonl', # 'dataset_solve_scale.jsonl', 'dataset_solve_skew.jsonl', # 'dataset_solve_symmetry.jsonl', # 'dataset_solve_translate.jsonl', # 'dataset_solve_zindex.jsonl', 'dataset_symmetry.jsonl', ``` # Version 140 Enabled all datasets. Added new dataset: `dataset_solve_cross.jsonl`. # Version 141 Switched to 30k rows. Disabled several datasets. ```txt # 'dataset_cellular_automaton.jsonl', # 'dataset_dilation.jsonl', # 'dataset_erosion.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_cross.jsonl', 'dataset_solve_edge.jsonl', 'dataset_solve_erosion.jsonl', 'dataset_solve_flip.jsonl', 'dataset_solve_fractal.jsonl', # 'dataset_solve_gravity.jsonl', 'dataset_solve_grid.jsonl', 'dataset_solve_half.jsonl', # 'dataset_solve_halfplane.jsonl', 'dataset_solve_mask.jsonl', 'dataset_solve_mass.jsonl', 'dataset_solve_outline.jsonl', 'dataset_solve_probecolor.jsonl', 'dataset_solve_ray.jsonl', # 'dataset_solve_reverse.jsonl', 'dataset_solve_rotate.jsonl', 'dataset_solve_scale.jsonl', 'dataset_solve_skew.jsonl', 'dataset_solve_symmetry.jsonl', 'dataset_solve_translate.jsonl', # 'dataset_solve_zindex.jsonl', # 'dataset_symmetry.jsonl', ``` # Version 142 Switched to 300k rows. Enabled all datasets. Switched from 512 context to 1024 context. # Version 143 Bigger images in `dataset_solve_cross.jsonl` and in `dataset_solve_mass.jsonl`. # Version 144 Major update to `dataset_solve_symmetry.jsonl`. # Version 145 Added `dataset_solve_span.jsonl`. # Version 146 Extended `dataset_solve_span.jsonl` with `generate_task_with_template_lines`. # Version 147 Extended `dataset_solve_span.jsonl` with `generate_task_with_alternate`. # Version 148 Added `dataset_solve_count.jsonl`. # Version 149 Randomized. # Version 150 Upgraded context length for several datasets from 512 to 1024. # Version 151 Randomized. # Version 152 Randomized. # Version 153 Extended `dataset_solve_mask.jsonl` with `generate_task_repair_rectangle_and_crop`. # Version 154 Extended `dataset_solve_color.jsonl` with `generate_task_replace_color`. # Version 155 Major update to datasets in the range from `dataset_solve_axxx.jsonl` to `dataset_solve_mask.jsonl`. Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored. # Version 156 Only 2000 rows. Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl', # Version 157 Only these datasets. - 'dataset_solve_bool.jsonl', - 'dataset_solve_boundingbox.jsonl', - 'dataset_solve_color.jsonl', - 'dataset_solve_compress.jsonl', - 'dataset_solve_count.jsonl', - 'dataset_solve_cross.jsonl', - 'dataset_solve_edge.jsonl', - 'dataset_solve_erosion.jsonl', - 'dataset_solve_flip.jsonl', - 'dataset_solve_fractal.jsonl', - 'dataset_solve_gravity.jsonl', - 'dataset_solve_grid.jsonl', - 'dataset_solve_half.jsonl', - 'dataset_solve_halfplane.jsonl', - 'dataset_solve_mask.jsonl', - 'dataset_solve_mass.jsonl', - 'dataset_solve_outline.jsonl', - 'dataset_solve_probecolor.jsonl', - 'dataset_solve_ray.jsonl', - 'dataset_solve_reverse.jsonl', - 'dataset_solve_rotate.jsonl', - 'dataset_solve_scale.jsonl', - 'dataset_solve_span.jsonl', - 'dataset_solve_skew.jsonl', - 'dataset_solve_symmetry.jsonl', - 'dataset_solve_translate.jsonl', - 'dataset_solve_zindex.jsonl', # Version 158 Only these datasets. - `dataset_solve_boundingbox.jsonl` - `dataset_solve_rectangle.jsonl` # Versin 159 Enabled all the `_solve_` datasets. # Version 160 Regenerated all the `_solve_` datasets with new seed. # Version 161 Regenerated all the `_solve_` datasets with new seed. # Version 162 Replaced RLE compressed response with raw pixel response. # Version 163 Added more generators - DatasetSolveCount - DatasetSolveCross - DatasetSolveEdge - DatasetSolveErosion - DatasetSolveFlip - DatasetSolveFractal # Version 164 Increased row count from 1000 to 2000. # Version 165 Added more generators. # Version 166 Added more generators. # Version 167 Added more generators. # Version 168 Added more generators. # Version 169 Generated data. # Version 170 Generated data. # Version 171 Generated data. Increased output context length from 256 to 512. # Version 172 Generated data. # Version 173 Generated data. # Version 174 Generated data. # Version 175 Generated data. # Version 176 Generated data. # Version 177 Increased the number of rows from 2000 to 4000. Generated data. # Version 178 Generated data. # Version 179 Generated data. # Version 180 Generated data. # Version 181 Generated data. # Version 182 Generated data. # Version 183 Generated data. # Version 184 Generated data. # Version 185 Generated data. # Version 186 Generated data. # Version 187 Generated data. # Version 188 Generated data. # Version 189 Added `DatasetSolveDeform` dataset generator. # Version 190 Generated data. # Version 191 Generated data. # Version 192 Generated data. # Version 193 Generated data. # Version 194 Generated data. # Version 195 Generated data. # Version 196 Increased the number of rows from 4000 to 8000. Generated data. # Version 197 Generated data.

Mateusz1017/company_reports_features_combined_full

Mateusz1017

--- dataset_info: features: - name: __index_level_0__ dtype: float64 - name: features sequence: sequence: float64 - name: cik dtype: string - name: year dtype: string - name: section_1 dtype: string - name: company_name dtype: string - name: sic_code dtype: string - name: input_ids sequence: int64 - name: ticker sequence: string - name: returns dtype: float64 - name: logged_monthly_returns_matrix sequence: float64 - name: input_ids_length dtype: float64 splits: - name: train num_bytes: 28037048967 num_examples: 24752 download_size: 13150027544 dataset_size: 28037048967 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_90a4eb58-04d7-41b3-828d-c5bd2dd28d49

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_57612550-2c18-468b-b26a-510ceb8ea742

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d8fa9656-52c8-4edd-a477-efa116e2f8ac

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettaphd/D_gen5_run1_llama2-7b_wiki_doc1000_real32_synt96

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 527240 num_examples: 1000 download_size: 291142 dataset_size: 527240 configs: - config_name: default data_files: - split: train path: data/train-* ---

jfcalvo/export-testing-262

jfcalvo

--- dataset_info: features: - name: id dtype: string - name: status dtype: class_label: names: '0': pending '1': completed - name: _server_id dtype: string - name: text dtype: string - name: ranking_0.responses sequence: sequence: - name: value dtype: string - name: rank dtype: int64 - name: ranking_0.responses.users sequence: string - name: ranking_0.responses.status sequence: class_label: names: '0': draft '1': submitted '2': discarded splits: - name: train num_bytes: 13864425 num_examples: 10000 download_size: 8799674 dataset_size: 13864425 configs: - config_name: default data_files: - split: train path: data/train-* ---

jfcalvo/export-testing-264

jfcalvo

--- dataset_info: features: - name: id dtype: string - name: status dtype: class_label: names: '0': pending '1': completed - name: _server_id dtype: string - name: messages sequence: - name: role dtype: string - name: content dtype: string - name: label_0.responses sequence: class_label: names: '0': positive '1': negative '2': neutral - name: label_0.responses.users sequence: string - name: label_0.responses.status sequence: class_label: names: '0': draft '1': submitted '2': discarded splits: - name: train num_bytes: 51332770 num_examples: 8800 download_size: 25909462 dataset_size: 51332770 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8177bd4c-c0d3-46d8-a735-e076514d5911

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_5435b4b3-8356-4f6a-a420-665063ee83ce

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2f8ec016-33c8-4a80-87cb-840712159229

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

liangzid/robench-eval-Time5-c

liangzid

--- dataset_info: features: - name: text_with_holes dtype: string - name: text_candidates dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2583613 num_examples: 2276 download_size: 1453317 dataset_size: 2583613 configs: - config_name: default data_files: - split: train path: data/train-* ---

AnonymousLLMer/finance-wiki-gold

AnonymousLLMer

--- dataset_info: features: - name: title dtype: string - name: text dtype: string - name: from dtype: string splits: - name: train num_bytes: 2060316 num_examples: 393 download_size: 1124573 dataset_size: 2060316 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 ---

liangzid/robench-eval-Time10-c

liangzid

--- dataset_info: features: - name: text_with_holes dtype: string - name: text_candidates dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2569162 num_examples: 2275 download_size: 1452169 dataset_size: 2569162 configs: - config_name: default data_files: - split: train path: data/train-* ---

AnonymousLLMer/finance-corpus-krx

AnonymousLLMer

--- dataset_info: features: - name: text dtype: string - name: source dtype: string splits: - name: train num_bytes: 1243980 num_examples: 315 download_size: 439813 dataset_size: 1243980 configs: - config_name: default data_files: - split: train path: data/train-* ---

simonycl/ultrafeedback_binarized_gold

simonycl

--- dataset_info: features: - name: prompt dtype: string - name: prompt_id 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: score_chosen dtype: float64 - name: score_rejected dtype: float64 splits: - name: train num_bytes: 571020642 num_examples: 61135 - name: test num_bytes: 18658914 num_examples: 2000 download_size: 313197607 dataset_size: 589679556 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

violetxi/NUMINA-V2-Clean-Blocks-1800_2000-0_5

violetxi

--- dataset_info: features: - name: problem dtype: string - name: source dtype: string - name: is_correct dtype: bool - name: target_answer dtype: string - name: solution dtype: string - name: solution_steps dtype: string - name: attempts dtype: string - name: model_answer dtype: string splits: - name: train num_bytes: 104951167 num_examples: 16016 download_size: 12412171 dataset_size: 104951167 configs: - config_name: default data_files: - split: train path: data/train-* ---

neuronbit/uaspeech_train_casted

neuronbit

--- dataset_info: features: - name: id dtype: string - name: target dtype: string - name: path dtype: string - name: dataset dtype: string - name: severity dtype: string - name: speech dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 4155002694.0 num_examples: 38656 download_size: 3970809447 dataset_size: 4155002694.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

neuronbit/uaspeech_test_casted

neuronbit

--- dataset_info: features: - name: id dtype: string - name: target dtype: string - name: path dtype: string - name: dataset dtype: string - name: severity dtype: string - name: speech dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 1870051557.5 num_examples: 18740 download_size: 1750628281 dataset_size: 1870051557.5 configs: - config_name: default data_files: - split: train path: data/train-* ---

liangzid/robench-eval-Time18-c

liangzid

--- dataset_info: features: - name: text_with_holes dtype: string - name: text_candidates dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2576973 num_examples: 2276 download_size: 1456240 dataset_size: 2576973 configs: - config_name: default data_files: - split: train path: data/train-* ---

theonlyamos/ghanaian_languages_to_english_translation_and_transcription_dataset

theonlyamos

--- license: apache-2.0 ---

dgambettaphd/D_gen7_run1_llama2-7b_wiki_doc1000_real32_synt96

dgambettaphd

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 527238 num_examples: 1000 download_size: 291221 dataset_size: 527238 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-* ---

SeppeV/joke_gen_of_mistral_ft_double_dpo_10pc

SeppeV

--- dataset_info: features: - name: jokeText dtype: string - name: userId dtype: int64 splits: - name: train num_bytes: 210123 num_examples: 130 download_size: 103350 dataset_size: 210123 configs: - config_name: default data_files: - split: train path: data/train-* ---

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-* ---

amuvarma/combined-shuffled-dev-text-orca-ds

amuvarma

--- dataset_info: features: - name: messages dtype: string splits: - name: train num_bytes: 13797694.614921493 num_examples: 3000 download_size: 6352893 dataset_size: 13797694.614921493 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-* ---

liangzid/robench-eval-Time24-c

liangzid

--- dataset_info: features: - name: text_with_holes dtype: string - name: text_candidates dtype: string - name: A dtype: string - name: B dtype: string - name: C dtype: string - name: D dtype: string - name: label dtype: string splits: - name: train num_bytes: 2578018 num_examples: 2275 download_size: 1454764 dataset_size: 2578018 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-* ---

IanAndJohn/imgs_with_metadata

IanAndJohn

--- dataset_info: features: - name: image dtype: image - name: Latitude dtype: float64 - name: Longitude dtype: float64 splits: - name: train num_bytes: 7287735.0 num_examples: 492 download_size: 7282292 dataset_size: 7287735.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

deivism/meddocan_labels21

deivism

--- dataset_info: features: - name: id dtype: string - name: document_id dtype: string - name: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': O '1': B-DAT '2': I-DAT '3': B-ORG '4': I-ORG '5': B-PER '6': I-PER '7': B-LOC '8': I-LOC '9': B-IDE '10': I-IDE '11': B-SEX '12': I-SEX '13': B-MAI '14': I-MAI '15': B-TEL '16': I-TEL '17': B-PRO '18': I-PRO '19': B-MISC '20': I-MISC splits: - name: train num_bytes: 9141826 num_examples: 4731 - name: validation num_bytes: 4826850 num_examples: 2469 - name: test num_bytes: 4586544 num_examples: 2374 download_size: 1868649 dataset_size: 18555220 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---