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frncscp/patacon-730_reduced | default | 0 | 72 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-09-23T03:43:07 | 2023-09-23T03:45:47 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Patacon-False", "1": "Patacon-True"}}}}, {"name": "pca", "sequence": {"sequence": "float64"}}] | {} |
kanishka/counterfactual_babylm_measure_nps_as_singular | default | 0 | 32 | ["size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-12-20T01:53:21 | 2023-12-20T01:53:40 | [{"name": "text", "dtype": "string"}] | {} |
vklinhhh/12_vi_draw_grid_img | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-10T11:24:45 | 2024-10-10T11:24:54 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}] | {} |
LambdaTests/VQAv2Validation_ViT_L_14_A_T_C_D-PNP-FILTER_benchmarks_1000 | default | 0 | 37 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-04-27T18:36:11 | 2023-04-28T02:05:16 | [{"name": "id", "dtype": "int64"}, {"name": "response", "dtype": "string"}] | {} |
ArbaazBeg/cyto-dino-sanity | default | 0 | 28 | ["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-01T11:36:01 | 2025-01-01T11:36:04 | [{"name": "id", "dtype": "int64"}, {"name": "bboxes", "sequence": {"sequence": "float64"}}, {"name": "cropped_images", "sequence": "binary"}] | {} |
Asap7772/code_contests_llamasft1e-6_mc_passk-part1-of-1_graded | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-15T17:09:20 | 2024-11-15T17:09:29 | [{"name": "timeout", "dtype": "float64"}, {"name": "test_cases", "struct": [{"name": "input", "sequence": "string"}, {"name": "output", "sequence": "string"}]}, {"name": "solutions", "sequence": "string"}, {"name": "name", "dtype": "string"}, {"name": "is_corrects", "sequence": "bool"}] | {} |
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selmanbaysan/xquad | default | 0 | 35 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-25T13:41:34 | 2024-12-25T13:41:37 | [{"name": "_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}] | {} |
spanish-ir/eswiki_20240401_corpus | default | 1 | 48 | ["language:es", "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2409.05994", "region:us"] | ["es"] | null | 2024-05-08T16:35:43 | 2024-09-11T13:39:34 | [{"name": "docid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
joey234/mmlu-high_school_us_history-neg-answer | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-09T07:45:59 | 2023-05-15T05:58:41 | [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_answer", "dtype": "string"}] | {} |
dariolopez/justicio-BOE-A-1978-31229-constitucion-by-articles-qa-qa-groq_llama3_70b_8192 | default | 1 | 34 | ["task_categories:question-answering", "language:es", "license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "legal"] | ["es"] | "apache-2.0" | 2024-05-14T16:17:39 | 2024-05-22T06:49:25 | [{"name": "number", "dtype": "int64"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "context_qa", "list": [{"name": "context", "dtype": "string"}, {"name": "score", "dtype": "float64"}]}, {"name": "response_groq_llama3_70b_8192", "dtype": "string"}] | {} |
Circularmachines/batch_indexing_machine_230529_002 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-29T11:03:04 | 2023-05-29T11:48:53 | [{"name": "image", "dtype": "image"}] | {} |
damianoimola/Adversarial-NLI-Dataset-Dates | default | 0 | 42 | ["license:mit", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-06-14T11:54:48 | 2024-06-17T20:40:48 | [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "og_hypothesis", "dtype": "string"}] | {} |
mt1234/coin4 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-23T23:18:58 | 2024-08-23T23:24:09 | [{"name": "questionId", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "question_types", "list": "string"}, {"name": "image", "dtype": "image"}, {"name": "docId", "dtype": "int32"}, {"name": "ucsf_document_id", "dtype": "string"}, {"name": "ucsf_document_page_no", "dtype": "int32"}, {"name": "answers", "list": "string"}] | {} |
amuvarma/tts-370k-raw-1dups-re | default | 0 | 38 | ["size_categories:100K<n<1M", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-06T17:51:12 | 2024-11-06T21:26:21 | [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}] | {} |
aivts/test-dataset | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-10T02:01:43 | 2024-04-10T09:54:01 | [{"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_ad4ec368-1513-4797-8bb5-d03439292d38 | default | 0 | 39 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-23T12:28:55 | 2024-10-23T12:28:56 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
dogtooth/uf_Llama-3.1-Tulu-3-8B-SFT_5 | default | 0 | 50 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-17T02:18:41 | 2024-12-17T02:20:10 | [{"name": "prompt", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "model_completion", "dtype": "string"}, {"name": "reference_completion", "dtype": "string"}] | {} |
thangvip/orca-filter2 | default | 0 | 31 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-25T04:11:38 | 2023-10-25T04:13:20 | [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
Marjovl/berkeley-nest-Nectar-DPO | default | 1 | 34 | ["license:apache-2.0", "size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | "apache-2.0" | 2024-06-19T13:59:50 | 2024-06-19T14:10:18 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "chosen_model", "dtype": "string"}, {"name": "rejected_model", "dtype": "string"}, {"name": "rejected_rank", "dtype": "int64"}, {"name": "good_natured", "dtype": "bool"}] | {} |
yiyic/Atlatic_train | default | 0 | 53 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-20T12:57:19 | 2024-05-22T13:52:59 | [{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}] | {} |
ittailup/rmp | default | 0 | 31 | ["size_categories:100K<n<1M", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-27T05:14:52 | 2024-05-21T17:15:20 | [{"name": "audio", "dtype": "audio"}, {"name": "text", "dtype": "string"}] | {} |
WebNovelTrans/kunpeng-ner-instruction | default | 0 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-07T02:06:59 | 2024-09-07T02:18:40 | [{"name": "entries", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
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Charlie911/mandarin_pronunciation_qa | default | 1 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-02T15:17:54 | 2024-07-02T15:33:31 | [{"name": "question", "dtype": "string"}, {"name": "A", "dtype": "string"}, {"name": "B", "dtype": "string"}, {"name": "C", "dtype": "string"}, {"name": "D", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "pronounciations", "sequence": "string"}, {"name": "label", "dtype": "int64"}] | {} |
yin30lei/wildlife_underexposed_he | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-12T19:26:49 | 2024-12-12T19:27:05 | [{"name": "file_name", "dtype": "string"}, {"name": "image_id", "dtype": "int64"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "labels", "dtype": "string"}] | {} |
slz0106/indexed_harmbench_dataset | default | 0 | 53 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-25T03:04:06 | 2024-11-07T19:36:20 | [{"name": "prompt", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "index", "dtype": "int64"}] | {} |
emaeon/train3 | default | 0 | 117 | ["size_categories:1M<n<10M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-04T05:14:51 | 2024-04-04T05:24:12 | [{"name": "code1", "dtype": "string"}, {"name": "code2", "dtype": "string"}, {"name": "similar", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
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Intuit-GenSRF/tweet-eval-offensive | default | 0 | 29 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-05T01:08:11 | 2023-10-05T01:08:13 | [{"name": "text", "dtype": "string"}, {"name": "labels", "sequence": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_6dfbe77c-e972-4434-b6e7-4c9e9223a055 | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-12T10:24:52 | 2024-12-12T10:24:53 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
kevin017/bioS_QA_employer_small | default | 0 | 34 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-09T18:09:52 | 2025-01-09T18:09:59 | [{"name": "text", "dtype": "string"}] | {} |
KyS/SpeakerEmbedding0 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-12-07T16:29:52 | 2023-12-07T16:29:58 | [{"name": "Speakers", "dtype": "string"}, {"name": "Audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "string"}, {"name": "sampling_rate", "dtype": "int64"}]}] | {} |
afrizalha/Gatra-2-Javanese | default | 3 | 46 | ["task_categories:text-generation", "language:jv", "license:cc-by-nc-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["jv"] | "cc-by-nc-4.0" | 2024-07-07T08:53:10 | 2024-11-02T06:42:05 | [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
uzair921/gum | default | 0 | 22 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-12T15:42:33 | 2025-01-12T15:42:38 | [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-abstract", "2": "I-abstract", "3": "B-animal", "4": "I-animal", "5": "B-event", "6": "I-event", "7": "B-object", "8": "I-object", "9": "B-organization", "10": "I-organization", "11": "B-person", "12": "I-person", "13": "B-place", "14": "I-place", "15": "B-plant", "16": "I-plant", "17": "B-quantity", "18": "I-quantity", "19": "B-substance", "20": "I-substance", "21": "B-time", "22": "I-time"}}}}] | {} |
hchautran/vietnamese-wiki-segmented | default | 5 | 36 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-11-22T12:43:48 | 2022-11-22T12:45:58 | [{"name": "segmented_text", "dtype": "string"}, {"name": "segmented_title", "dtype": "string"}] | {} |
jlbaker361/flickr_humans_dim_128_20k_vangogh | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-07-12T11:14:06 | 2023-07-12T11:14:32 | [{"name": "image", "dtype": "image"}, {"name": "split", "dtype": "string"}, {"name": "style", "dtype": "string"}] | {} |
amuvarma/blend-llama-10k | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-11T09:21:03 | 2024-10-11T09:21:25 | [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}] | {} |
kowndinya23/flan2022-4096-64-tasks-logdet-25000-instances-fl | default | 0 | 16 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-24T01:34:03 | 2024-01-24T01:34:26 | [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
amuvarma/luna-day1and2-facodecced-amu-wcaps | default | 0 | 40 | ["size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-11T23:56:27 | 2024-11-11T23:56:49 | [{"name": "text", "dtype": "string"}, {"name": "emotion", "dtype": "string"}, {"name": "audio", "dtype": "audio"}, {"name": "facodec_0", "sequence": "int64"}, {"name": "facodec_1", "sequence": "int64"}, {"name": "facodec_2", "sequence": "int64"}, {"name": "facodec_3", "sequence": "int64"}, {"name": "facodec_4", "sequence": "int64"}, {"name": "facodec_5", "sequence": "int64"}, {"name": "transcript", "dtype": "string"}] | {} |
Amithesh/first_birthday | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-23T16:14:28 | 2024-07-23T16:34:48 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
ashercn97/example-preference-dataset2_work2 | default | 0 | 39 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "library:distilabel", "arxiv:2310.01377", "region:us", "synthetic", "distilabel", "rlaif"] | null | null | 2024-10-24T01:09:04 | 2024-10-24T01:09:08 | [{"name": "instruction", "dtype": "string"}, {"name": "generations", "sequence": "string"}, {"name": "model_names", "sequence": "string"}, {"name": "distilabel_metadata", "struct": [{"name": "raw_input_ultra_feedback_0", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "raw_output_ultra_feedback_0", "dtype": "string"}]}, {"name": "types", "sequence": "null"}, {"name": "rationales", "sequence": "string"}, {"name": "ratings", "sequence": "int64"}, {"name": "rationales-for-ratings", "sequence": "string"}, {"name": "model_name", "dtype": "string"}, {"name": "prompt", "dtype": "null"}, {"name": "prompt_id", "dtype": "null"}, {"name": "chosen", "dtype": "null"}, {"name": "chosen_model", "dtype": "null"}, {"name": "chosen_rating", "dtype": "null"}, {"name": "rejected", "dtype": "null"}, {"name": "rejected_model", "dtype": "null"}, {"name": "rejected_rating", "dtype": "null"}] | {} |
d1ck0n/lemmy_qa | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-31T12:35:57 | 2024-08-31T12:36:03 | [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int64"}]}, {"name": "id", "dtype": "string"}] | {} |
Ayush2609/AJ_sentence | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-11-08T13:42:24 | 2022-11-08T14:58:24 | [{"name": "text", "dtype": "string"}] | {} |
HKUST-FYPHO2/audio-infos-filtered | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-29T15:26:55 | 2024-03-29T15:27:10 | [{"name": "chords", "sequence": "int64"}, {"name": "chord_times", "sequence": "float64"}, {"name": "beats", "sequence": "float64"}, {"name": "downbeats", "sequence": "float64"}, {"name": "sample_rate", "dtype": "int64"}, {"name": "genre", "dtype": "string"}, {"name": "audio_name", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "playlist", "dtype": "string"}, {"name": "time_accessed", "dtype": "int64"}, {"name": "views", "dtype": "int64"}, {"name": "length", "dtype": "int64"}, {"name": "rating", "dtype": "string"}, {"name": "age_restricted", "dtype": "bool"}, {"name": "normalized_chord_times", "sequence": "float64"}, {"name": "music_duration", "sequence": "float64"}] | {} |
texonom/texonom-md | default | 0 | 38 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-29T18:18:27 | 2023-10-29T18:47:20 | [{"name": "title", "dtype": "string"}, {"name": "parent", "dtype": "string"}, {"name": "created", "dtype": "string"}, {"name": "editor", "dtype": "string"}, {"name": "creator", "dtype": "string"}, {"name": "edited", "dtype": "string"}, {"name": "refs", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}] | {} |
HANTIFARAH/Farah-8 | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-19T12:18:15 | 2024-08-19T12:18:17 | [{"name": "darija", "dtype": "string"}, {"name": "english", "dtype": "string"}] | {} |
lakechs/scyrit-art | default | 1 | 5 | ["task_categories:text-to-image", "language:tr", "license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "art"] | ["tr"] | "mit" | 2025-01-18T16:16:55 | 2025-01-18T18:27:23 | [{"name": "title", "dtype": "string"}, {"name": "image_url", "dtype": "string"}] | {} |
GleghornLab/DL10_fold | default | 0 | 41 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-11-15T18:36:09 | 2023-11-15T18:36:11 | [{"name": "seqs", "dtype": "string"}, {"name": "labels", "dtype": "int64"}] | {} |
KasparER/completed_workouts | default | 0 | 42 | ["language:en", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["en"] | null | 2024-11-10T14:27:28 | 2024-11-10T17:33:22 | [{"name": "AGE", "dtype": "string"}, {"name": "SEX", "dtype": "string"}, {"name": "EXPERIENCE_LEVEL", "dtype": "string"}, {"name": "GOAL", "dtype": "string"}, {"name": "WORKOUT_TYPE", "dtype": "string"}, {"name": "EXERCISES", "dtype": "string"}, {"name": "SETS", "dtype": "string"}, {"name": "REPETITIONS", "dtype": "string"}, {"name": "FEEDBACK", "dtype": "string"}] | {} |
AdapterOcean/med_alpaca_standardized_cluster_2_std | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-23T19:09:05 | 2023-10-23T19:09:09 | [{"name": "message", "dtype": "string"}, {"name": "message_type", "dtype": "string"}, {"name": "message_id", "dtype": "int64"}, {"name": "conversation_id", "dtype": "int64"}, {"name": "cluster", "dtype": "float64"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_076a2fa1-f610-497e-aaa4-b62e94440f25 | default | 0 | 34 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-27T08:32:55 | 2024-09-27T08:32:56 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
jtatman/persona_hub_knowledge_subset | default | 0 | 33 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-06T05:06:24 | 2024-07-06T05:06:35 | [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_7e31abc3-31a3-47b3-b7e2-db23849a6a6a | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-18T12:51:30 | 2024-12-18T12:51:31 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
adityarra07/live_ATC_GTI8938 | default | 0 | 36 | ["size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-12T13:22:32 | 2024-02-12T13:22:35 | [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}] | {} |
Seemaant/reuters_articles | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-02T08:43:36 | 2024-05-02T08:43:50 | [{"name": "title", "dtype": "string"}, {"name": "body", "dtype": "string"}] | {} |
datacomp/imagenet-1k-random30.0 | default | 0 | 232 | ["size_categories:1M<n<10M", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-05T16:38:24 | 2024-11-07T21:53:05 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4": "hammerhead, hammerhead shark", "5": "electric ray, crampfish, numbfish, torpedo", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich, Struthio camelus", "10": "brambling, Fringilla montifringilla", "11": "goldfinch, Carduelis carduelis", "12": "house finch, linnet, Carpodacus mexicanus", "13": "junco, snowbird", "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea", "15": "robin, American robin, Turdus migratorius", "16": "bulbul", "17": "jay", "18": "magpie", "19": "chickadee", "20": "water ouzel, dipper", "21": "kite", "22": "bald eagle, American eagle, Haliaeetus leucocephalus", "23": "vulture", "24": "great grey owl, great gray owl, Strix nebulosa", "25": "European fire salamander, Salamandra salamandra", "26": "common newt, Triturus vulgaris", "27": "eft", "28": "spotted salamander, Ambystoma maculatum", "29": "axolotl, mud puppy, Ambystoma mexicanum", "30": "bullfrog, Rana catesbeiana", "31": "tree frog, tree-frog", "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", "33": "loggerhead, loggerhead turtle, Caretta caretta", "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", "35": "mud turtle", "36": "terrapin", "37": "box turtle, box tortoise", "38": "banded gecko", "39": "common iguana, iguana, Iguana iguana", "40": "American chameleon, anole, Anolis carolinensis", "41": "whiptail, whiptail lizard", "42": "agama", "43": "frilled lizard, Chlamydosaurus kingi", "44": "alligator lizard", "45": "Gila monster, Heloderma suspectum", "46": "green lizard, Lacerta viridis", "47": "African chameleon, Chamaeleo chamaeleon", "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", "49": "African crocodile, Nile crocodile, Crocodylus niloticus", "50": "American alligator, Alligator mississipiensis", "51": "triceratops", "52": "thunder snake, worm snake, Carphophis amoenus", "53": "ringneck snake, ring-necked snake, ring snake", "54": "hognose snake, puff adder, sand viper", "55": "green snake, grass snake", "56": "king snake, kingsnake", "57": "garter snake, grass snake", "58": "water snake", "59": "vine snake", "60": "night snake, Hypsiglena torquata", "61": "boa constrictor, Constrictor constrictor", "62": "rock python, rock snake, Python sebae", "63": "Indian cobra, Naja naja", "64": "green mamba", "65": "sea snake", "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus", "68": "sidewinder, horned rattlesnake, Crotalus cerastes", "69": "trilobite", "70": "harvestman, daddy longlegs, Phalangium opilio", "71": "scorpion", "72": "black and gold garden spider, Argiope aurantia", "73": "barn spider, Araneus cavaticus", "74": "garden spider, Aranea diademata", "75": "black widow, Latrodectus mactans", "76": "tarantula", "77": "wolf spider, hunting spider", "78": "tick", "79": "centipede", "80": "black grouse", "81": "ptarmigan", "82": "ruffed grouse, partridge, Bonasa umbellus", "83": "prairie chicken, prairie grouse, prairie fowl", "84": "peacock", "85": "quail", "86": "partridge", "87": "African grey, African gray, Psittacus erithacus", "88": "macaw", "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", "90": "lorikeet", "91": "coucal", "92": "bee eater", "93": "hornbill", "94": "hummingbird", "95": "jacamar", "96": "toucan", "97": "drake", "98": "red-breasted merganser, Mergus serrator", "99": "goose", "100": "black swan, Cygnus atratus", "101": "tusker", "102": "echidna, spiny anteater, anteater", "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", "104": "wallaby, brush kangaroo", "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", "106": "wombat", "107": "jellyfish", "108": "sea anemone, anemone", "109": "brain coral", "110": "flatworm, platyhelminth", "111": "nematode, nematode worm, roundworm", "112": "conch", "113": "snail", "114": "slug", "115": "sea slug, nudibranch", "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore", "117": "chambered nautilus, pearly nautilus, nautilus", "118": "Dungeness crab, Cancer magister", "119": "rock crab, Cancer irroratus", "120": "fiddler crab", "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus", "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", "124": "crayfish, crawfish, crawdad, crawdaddy", "125": "hermit crab", "126": "isopod", "127": "white stork, Ciconia ciconia", "128": "black stork, Ciconia nigra", "129": "spoonbill", "130": "flamingo", "131": "little blue heron, Egretta caerulea", "132": "American egret, great white heron, Egretta albus", "133": "bittern", "134": "crane", "135": "limpkin, Aramus pictus", "136": "European gallinule, Porphyrio porphyrio", "137": "American coot, marsh hen, mud hen, water hen, Fulica americana", "138": "bustard", "139": "ruddy turnstone, Arenaria interpres", "140": "red-backed sandpiper, dunlin, Erolia alpina", "141": "redshank, Tringa totanus", "142": "dowitcher", "143": "oystercatcher, oyster catcher", "144": "pelican", "145": "king penguin, Aptenodytes patagonica", "146": "albatross, mollymawk", "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", "149": "dugong, Dugong dugon", "150": "sea lion", "151": "Chihuahua", "152": "Japanese spaniel", "153": "Maltese dog, Maltese terrier, Maltese", "154": "Pekinese, Pekingese, Peke", "155": "Shih-Tzu", "156": "Blenheim spaniel", "157": "papillon", "158": "toy terrier", "159": "Rhodesian ridgeback", "160": "Afghan hound, Afghan", "161": "basset, basset hound", "162": "beagle", "163": "bloodhound, sleuthhound", "164": "bluetick", "165": "black-and-tan coonhound", "166": "Walker hound, Walker foxhound", "167": "English foxhound", "168": "redbone", "169": "borzoi, Russian wolfhound", "170": "Irish wolfhound", "171": "Italian greyhound", "172": "whippet", "173": "Ibizan hound, Ibizan Podenco", "174": "Norwegian elkhound, elkhound", "175": "otterhound, otter hound", "176": "Saluki, gazelle hound", "177": "Scottish deerhound, deerhound", "178": "Weimaraner", "179": "Staffordshire bullterrier, Staffordshire bull terrier", "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", "181": "Bedlington terrier", "182": "Border terrier", "183": "Kerry blue terrier", "184": "Irish terrier", "185": "Norfolk terrier", "186": "Norwich terrier", "187": "Yorkshire terrier", "188": "wire-haired fox terrier", "189": "Lakeland terrier", "190": "Sealyham terrier, Sealyham", "191": "Airedale, Airedale terrier", "192": "cairn, cairn terrier", "193": "Australian terrier", "194": "Dandie Dinmont, Dandie Dinmont terrier", "195": "Boston bull, Boston terrier", "196": "miniature schnauzer", "197": "giant schnauzer", "198": "standard schnauzer", "199": "Scotch terrier, Scottish terrier, Scottie", "200": "Tibetan terrier, chrysanthemum dog", "201": "silky terrier, Sydney silky", "202": "soft-coated wheaten terrier", "203": "West Highland white terrier", "204": "Lhasa, Lhasa apso", "205": "flat-coated retriever", "206": "curly-coated retriever", "207": "golden retriever", "208": "Labrador retriever", "209": "Chesapeake Bay retriever", "210": "German short-haired pointer", "211": "vizsla, Hungarian pointer", "212": "English setter", "213": "Irish setter, red setter", "214": "Gordon setter", "215": "Brittany spaniel", "216": "clumber, clumber spaniel", "217": "English springer, English springer spaniel", "218": "Welsh springer spaniel", "219": "cocker spaniel, English cocker spaniel, cocker", "220": "Sussex spaniel", "221": "Irish water spaniel", "222": "kuvasz", "223": "schipperke", "224": "groenendael", "225": "malinois", "226": "briard", "227": "kelpie", "228": "komondor", "229": "Old English sheepdog, bobtail", "230": "Shetland sheepdog, Shetland sheep dog, Shetland", "231": "collie", "232": "Border collie", "233": "Bouvier des Flandres, Bouviers des Flandres", "234": "Rottweiler", "235": "German shepherd, German shepherd dog, German police dog, alsatian", "236": "Doberman, Doberman pinscher", "237": "miniature pinscher", "238": "Greater Swiss Mountain dog", "239": "Bernese mountain dog", "240": "Appenzeller", "241": "EntleBucher", "242": "boxer", "243": "bull mastiff", "244": "Tibetan mastiff", "245": "French bulldog", "246": "Great Dane", "247": "Saint Bernard, St Bernard", "248": "Eskimo dog, husky", "249": "malamute, malemute, Alaskan malamute", "250": "Siberian husky", "251": "dalmatian, coach dog, carriage dog", "252": "affenpinscher, monkey pinscher, monkey dog", "253": "basenji", "254": "pug, pug-dog", "255": "Leonberg", "256": "Newfoundland, Newfoundland dog", "257": "Great Pyrenees", "258": "Samoyed, Samoyede", "259": "Pomeranian", "260": "chow, chow chow", "261": "keeshond", "262": "Brabancon griffon", "263": "Pembroke, Pembroke Welsh corgi", "264": "Cardigan, Cardigan Welsh corgi", "265": "toy poodle", "266": "miniature poodle", "267": "standard poodle", "268": "Mexican hairless", "269": "timber wolf, grey wolf, gray wolf, Canis lupus", "270": "white wolf, Arctic wolf, Canis lupus tundrarum", "271": "red wolf, maned wolf, Canis rufus, Canis niger", "272": "coyote, prairie wolf, brush wolf, Canis latrans", "273": "dingo, warrigal, warragal, Canis dingo", "274": "dhole, Cuon alpinus", "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", "276": "hyena, hyaena", "277": "red fox, Vulpes vulpes", "278": "kit fox, Vulpes macrotis", "279": "Arctic fox, white fox, Alopex lagopus", "280": "grey fox, gray fox, Urocyon cinereoargenteus", "281": "tabby, tabby cat", "282": "tiger cat", "283": "Persian cat", "284": "Siamese cat, Siamese", "285": "Egyptian cat", "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", "287": "lynx, catamount", "288": "leopard, Panthera pardus", "289": "snow leopard, ounce, Panthera uncia", "290": "jaguar, panther, Panthera onca, Felis onca", "291": "lion, king of beasts, Panthera leo", "292": "tiger, Panthera tigris", "293": "cheetah, chetah, Acinonyx jubatus", "294": "brown bear, bruin, Ursus arctos", "295": "American black bear, black bear, Ursus americanus, Euarctos americanus", "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", "297": "sloth bear, Melursus ursinus, Ursus ursinus", "298": "mongoose", "299": "meerkat, mierkat", "300": "tiger beetle", "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", "302": "ground beetle, carabid beetle", "303": "long-horned beetle, longicorn, longicorn beetle", "304": "leaf beetle, chrysomelid", "305": "dung beetle", "306": "rhinoceros beetle", "307": "weevil", "308": "fly", "309": "bee", "310": "ant, emmet, pismire", "311": "grasshopper, hopper", "312": "cricket", "313": "walking stick, walkingstick, stick insect", "314": "cockroach, roach", "315": "mantis, mantid", "316": "cicada, cicala", "317": "leafhopper", "318": "lacewing, lacewing fly", "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", "320": "damselfly", "321": "admiral", "322": "ringlet, ringlet butterfly", "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", "324": "cabbage butterfly", "325": "sulphur butterfly, sulfur butterfly", "326": "lycaenid, lycaenid butterfly", "327": "starfish, sea star", "328": "sea urchin", "329": "sea cucumber, holothurian", "330": "wood rabbit, cottontail, cottontail rabbit", "331": "hare", "332": "Angora, Angora rabbit", "333": "hamster", "334": "porcupine, hedgehog", "335": "fox squirrel, eastern fox squirrel, Sciurus niger", "336": "marmot", "337": "beaver", "338": "guinea pig, Cavia cobaya", "339": "sorrel", "340": "zebra", "341": "hog, pig, grunter, squealer, Sus scrofa", "342": "wild boar, boar, Sus scrofa", "343": "warthog", "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius", "345": "ox", "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", "347": "bison", "348": "ram, tup", "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", "350": "ibex, Capra ibex", "351": "hartebeest", "352": "impala, Aepyceros melampus", "353": "gazelle", "354": "Arabian camel, dromedary, Camelus dromedarius", "355": "llama", "356": "weasel", "357": "mink", "358": "polecat, fitch, foulmart, foumart, Mustela putorius", "359": "black-footed ferret, ferret, Mustela nigripes", "360": "otter", "361": "skunk, polecat, wood pussy", "362": "badger", "363": "armadillo", "364": "three-toed sloth, ai, Bradypus tridactylus", "365": "orangutan, orang, orangutang, Pongo pygmaeus", "366": "gorilla, Gorilla gorilla", "367": "chimpanzee, chimp, Pan troglodytes", "368": "gibbon, Hylobates lar", "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus", "370": "guenon, guenon monkey", "371": "patas, hussar monkey, Erythrocebus patas", "372": "baboon", "373": "macaque", "374": "langur", "375": "colobus, colobus monkey", "376": "proboscis monkey, Nasalis larvatus", "377": "marmoset", "378": "capuchin, ringtail, Cebus capucinus", "379": "howler monkey, howler", "380": "titi, titi monkey", "381": "spider monkey, Ateles geoffroyi", "382": "squirrel monkey, Saimiri sciureus", "383": "Madagascar cat, ring-tailed lemur, Lemur catta", "384": "indri, indris, Indri indri, Indri brevicaudatus", "385": "Indian elephant, Elephas maximus", "386": "African elephant, Loxodonta africana", "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", "389": "barracouta, snoek", "390": "eel", "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", "392": "rock beauty, Holocanthus tricolor", "393": "anemone fish", "394": "sturgeon", "395": "gar, garfish, garpike, billfish, Lepisosteus osseus", "396": "lionfish", "397": "puffer, pufferfish, blowfish, globefish", "398": "abacus", "399": "abaya", "400": "academic gown, academic robe, judge's robe", "401": "accordion, piano accordion, squeeze box", "402": "acoustic guitar", "403": "aircraft carrier, carrier, flattop, attack aircraft carrier", "404": "airliner", "405": "airship, dirigible", "406": "altar", "407": "ambulance", "408": "amphibian, amphibious vehicle", "409": "analog clock", "410": "apiary, bee house", "411": "apron", "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", "413": "assault rifle, assault gun", "414": "backpack, back pack, knapsack, packsack, rucksack, haversack", "415": "bakery, bakeshop, bakehouse", "416": "balance beam, beam", "417": "balloon", "418": "ballpoint, ballpoint pen, ballpen, Biro", "419": "Band Aid", "420": "banjo", "421": "bannister, banister, balustrade, balusters, handrail", "422": "barbell", "423": "barber chair", "424": "barbershop", "425": "barn", "426": "barometer", "427": "barrel, cask", "428": "barrow, garden cart, lawn cart, wheelbarrow", "429": "baseball", "430": "basketball", "431": "bassinet", "432": "bassoon", "433": "bathing cap, swimming cap", "434": "bath towel", "435": "bathtub, bathing tub, bath, tub", "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", "437": "beacon, lighthouse, beacon light, pharos", "438": "beaker", "439": "bearskin, busby, shako", "440": "beer bottle", "441": "beer glass", "442": "bell cote, bell cot", "443": "bib", "444": "bicycle-built-for-two, tandem bicycle, tandem", "445": "bikini, two-piece", "446": "binder, ring-binder", "447": "binoculars, field glasses, opera glasses", "448": "birdhouse", "449": "boathouse", "450": "bobsled, bobsleigh, bob", "451": "bolo tie, bolo, bola tie, bola", "452": "bonnet, poke bonnet", "453": "bookcase", "454": "bookshop, bookstore, bookstall", "455": "bottlecap", "456": "bow", "457": "bow tie, bow-tie, bowtie", "458": "brass, memorial tablet, plaque", "459": "brassiere, bra, bandeau", "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty", "461": "breastplate, aegis, egis", "462": "broom", "463": "bucket, pail", "464": "buckle", "465": "bulletproof vest", "466": "bullet train, bullet", "467": "butcher shop, meat market", "468": "cab, hack, taxi, taxicab", "469": "caldron, cauldron", "470": "candle, taper, wax light", "471": "cannon", "472": "canoe", "473": "can opener, tin opener", "474": "cardigan", "475": "car mirror", "476": "carousel, carrousel, merry-go-round, roundabout, whirligig", "477": "carpenter's kit, tool kit", "478": "carton", "479": "car wheel", "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", "481": "cassette", "482": "cassette player", "483": "castle", "484": "catamaran", "485": "CD player", "486": "cello, violoncello", "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone", "488": "chain", "489": "chainlink fence", "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", "491": "chain saw, chainsaw", "492": "chest", "493": "chiffonier, commode", "494": "chime, bell, gong", "495": "china cabinet, china closet", "496": "Christmas stocking", "497": "church, church building", "498": "cinema, movie theater, movie theatre, movie house, picture palace", "499": "cleaver, meat cleaver, chopper", "500": "cliff dwelling", "501": "cloak", "502": "clog, geta, patten, sabot", "503": "cocktail shaker", "504": "coffee mug", "505": "coffeepot", "506": "coil, spiral, volute, whorl, helix", "507": "combination lock", "508": "computer keyboard, keypad", "509": "confectionery, confectionary, candy store", "510": "container ship, containership, container vessel", "511": "convertible", "512": "corkscrew, bottle screw", "513": "cornet, horn, trumpet, trump", "514": "cowboy boot", "515": "cowboy hat, ten-gallon hat", "516": "cradle", "517": "crane2", "518": "crash helmet", "519": "crate", "520": "crib, cot", "521": "Crock Pot", "522": "croquet ball", "523": "crutch", "524": "cuirass", "525": "dam, dike, dyke", "526": "desk", "527": "desktop computer", "528": "dial telephone, dial phone", "529": "diaper, nappy, napkin", "530": "digital clock", "531": "digital watch", "532": "dining table, board", "533": "dishrag, dishcloth", "534": "dishwasher, dish washer, dishwashing machine", "535": "disk brake, disc brake", "536": "dock, dockage, docking facility", "537": "dogsled, dog sled, dog sleigh", "538": "dome", "539": "doormat, welcome mat", "540": "drilling platform, offshore rig", "541": "drum, membranophone, tympan", "542": "drumstick", "543": "dumbbell", "544": "Dutch oven", "545": "electric fan, blower", "546": "electric guitar", "547": "electric locomotive", "548": "entertainment center", "549": "envelope", "550": "espresso maker", "551": "face powder", "552": "feather boa, boa", "553": "file, file cabinet, filing cabinet", "554": "fireboat", "555": "fire engine, fire truck", "556": "fire screen, fireguard", "557": "flagpole, flagstaff", "558": "flute, transverse flute", "559": "folding chair", "560": "football helmet", "561": "forklift", "562": "fountain", "563": "fountain pen", "564": "four-poster", "565": "freight car", "566": "French horn, horn", "567": "frying pan, frypan, skillet", "568": "fur coat", "569": "garbage truck, dustcart", "570": "gasmask, respirator, gas helmet", "571": "gas pump, gasoline pump, petrol pump, island dispenser", "572": "goblet", "573": "go-kart", "574": "golf ball", "575": "golfcart, golf cart", "576": "gondola", "577": "gong, tam-tam", "578": "gown", "579": "grand piano, grand", "580": "greenhouse, nursery, glasshouse", "581": "grille, radiator grille", "582": "grocery store, grocery, food market, market", "583": "guillotine", "584": "hair slide", "585": "hair spray", "586": "half track", "587": "hammer", "588": "hamper", "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier", "590": "hand-held computer, hand-held microcomputer", "591": "handkerchief, hankie, hanky, hankey", "592": "hard disc, hard disk, fixed disk", "593": "harmonica, mouth organ, harp, mouth harp", "594": "harp", "595": "harvester, reaper", "596": "hatchet", "597": "holster", "598": "home theater, home theatre", "599": "honeycomb", "600": "hook, claw", "601": "hoopskirt, crinoline", "602": "horizontal bar, high bar", "603": "horse cart, horse-cart", "604": "hourglass", "605": "iPod", "606": "iron, smoothing iron", "607": "jack-o'-lantern", "608": "jean, blue jean, denim", "609": "jeep, landrover", "610": "jersey, T-shirt, tee shirt", "611": "jigsaw puzzle", "612": "jinrikisha, ricksha, rickshaw", "613": "joystick", "614": "kimono", "615": "knee pad", "616": "knot", "617": "lab coat, laboratory coat", "618": "ladle", "619": "lampshade, lamp shade", "620": "laptop, laptop computer", "621": "lawn mower, mower", "622": "lens cap, lens cover", "623": "letter opener, paper knife, paperknife", "624": "library", "625": "lifeboat", "626": "lighter, light, igniter, ignitor", "627": "limousine, limo", "628": "liner, ocean liner", "629": "lipstick, lip rouge", "630": "Loafer", "631": "lotion", "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", "633": "loupe, jeweler's loupe", "634": "lumbermill, sawmill", "635": "magnetic compass", "636": "mailbag, postbag", "637": "mailbox, letter box", "638": "maillot", "639": "maillot, tank suit", "640": "manhole cover", "641": "maraca", "642": "marimba, xylophone", "643": "mask", "644": "matchstick", "645": "maypole", "646": "maze, labyrinth", "647": "measuring cup", "648": "medicine chest, medicine cabinet", "649": "megalith, megalithic structure", "650": "microphone, mike", "651": "microwave, microwave oven", "652": "military uniform", "653": "milk can", "654": "minibus", "655": "miniskirt, mini", "656": "minivan", "657": "missile", "658": "mitten", "659": "mixing bowl", "660": "mobile home, manufactured home", "661": "Model T", "662": "modem", "663": "monastery", "664": "monitor", "665": "moped", "666": "mortar", "667": "mortarboard", "668": "mosque", "669": "mosquito net", "670": "motor scooter, scooter", "671": "mountain bike, all-terrain bike, off-roader", "672": "mountain tent", "673": "mouse, computer mouse", "674": "mousetrap", "675": "moving van", "676": "muzzle", "677": "nail", "678": "neck brace", "679": "necklace", "680": "nipple", "681": "notebook, notebook computer", "682": "obelisk", "683": "oboe, hautboy, hautbois", "684": "ocarina, sweet potato", "685": "odometer, hodometer, mileometer, milometer", "686": "oil filter", "687": "organ, pipe organ", "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO", "689": "overskirt", "690": "oxcart", "691": "oxygen mask", "692": "packet", "693": "paddle, boat paddle", "694": "paddlewheel, paddle wheel", "695": "padlock", "696": "paintbrush", "697": "pajama, pyjama, pj's, jammies", "698": "palace", "699": "panpipe, pandean pipe, syrinx", "700": "paper towel", "701": "parachute, chute", "702": "parallel bars, bars", "703": "park bench", "704": "parking meter", "705": "passenger car, coach, carriage", "706": "patio, terrace", "707": "pay-phone, pay-station", "708": "pedestal, plinth, footstall", "709": "pencil box, pencil case", "710": "pencil sharpener", "711": "perfume, essence", "712": "Petri dish", "713": "photocopier", "714": "pick, plectrum, plectron", "715": "pickelhaube", "716": "picket fence, paling", "717": "pickup, pickup truck", "718": "pier", "719": "piggy bank, penny bank", "720": "pill bottle", "721": "pillow", "722": "ping-pong ball", "723": "pinwheel", "724": "pirate, pirate ship", "725": "pitcher, ewer", "726": "plane, carpenter's plane, woodworking plane", "727": "planetarium", "728": "plastic bag", "729": "plate rack", "730": "plow, plough", "731": "plunger, plumber's helper", "732": "Polaroid camera, Polaroid Land camera", "733": "pole", "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", "735": "poncho", "736": "pool table, billiard table, snooker table", "737": "pop bottle, soda bottle", "738": "pot, flowerpot", "739": "potter's wheel", "740": "power drill", "741": "prayer rug, prayer mat", "742": "printer", "743": "prison, prison house", "744": "projectile, missile", "745": "projector", "746": "puck, hockey puck", "747": "punching bag, punch bag, punching ball, punchball", "748": "purse", "749": "quill, quill pen", "750": "quilt, comforter, comfort, puff", "751": "racer, race car, racing car", "752": "racket, racquet", "753": "radiator", "754": "radio, wireless", "755": "radio telescope, radio reflector", "756": "rain barrel", "757": "recreational vehicle, RV, R.V.", "758": "reel", "759": "reflex camera", "760": "refrigerator, icebox", "761": "remote control, remote", "762": "restaurant, eating house, eating place, eatery", "763": "revolver, six-gun, six-shooter", "764": "rifle", "765": "rocking chair, rocker", "766": "rotisserie", "767": "rubber eraser, rubber, pencil eraser", "768": "rugby ball", "769": "rule, ruler", "770": "running shoe", "771": "safe", "772": "safety pin", "773": "saltshaker, salt shaker", "774": "sandal", "775": "sarong", "776": "sax, saxophone", "777": "scabbard", "778": "scale, weighing machine", "779": "school bus", "780": "schooner", "781": "scoreboard", "782": "screen, CRT screen", "783": "screw", "784": "screwdriver", "785": "seat belt, seatbelt", "786": "sewing machine", "787": "shield, buckler", "788": "shoe shop, shoe-shop, shoe store", "789": "shoji", "790": "shopping basket", "791": "shopping cart", "792": "shovel", "793": "shower cap", "794": "shower curtain", "795": "ski", "796": "ski mask", "797": "sleeping bag", "798": "slide rule, slipstick", "799": "sliding door", "800": "slot, one-armed bandit", "801": "snorkel", "802": "snowmobile", "803": "snowplow, snowplough", "804": "soap dispenser", "805": "soccer ball", "806": "sock", "807": "solar dish, solar collector, solar furnace", "808": "sombrero", "809": "soup bowl", "810": "space bar", "811": "space heater", "812": "space shuttle", "813": "spatula", "814": "speedboat", "815": "spider web, spider's web", "816": "spindle", "817": "sports car, sport car", "818": "spotlight, spot", "819": "stage", "820": "steam locomotive", "821": "steel arch bridge", "822": "steel drum", "823": "stethoscope", "824": "stole", "825": "stone wall", "826": "stopwatch, stop watch", "827": "stove", "828": "strainer", "829": "streetcar, tram, tramcar, trolley, trolley car", "830": "stretcher", "831": "studio couch, day bed", "832": "stupa, tope", "833": "submarine, pigboat, sub, U-boat", "834": "suit, suit of clothes", "835": "sundial", "836": "sunglass", "837": "sunglasses, dark glasses, shades", "838": "sunscreen, sunblock, sun blocker", "839": "suspension bridge", "840": "swab, swob, mop", "841": "sweatshirt", "842": "swimming trunks, bathing trunks", "843": "swing", "844": "switch, electric switch, electrical switch", "845": "syringe", "846": "table lamp", "847": "tank, army tank, armored combat vehicle, armoured combat vehicle", "848": "tape player", "849": "teapot", "850": "teddy, teddy bear", "851": 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"vestment", "888": "viaduct", "889": "violin, fiddle", "890": "volleyball", "891": "waffle iron", "892": "wall clock", "893": "wallet, billfold, notecase, pocketbook", "894": "wardrobe, closet, press", "895": "warplane, military plane", "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin", "897": "washer, automatic washer, washing machine", "898": "water bottle", "899": "water jug", "900": "water tower", "901": "whiskey jug", "902": "whistle", "903": "wig", "904": "window screen", "905": "window shade", "906": "Windsor tie", "907": "wine bottle", "908": "wing", "909": "wok", "910": "wooden spoon", "911": "wool, woolen, woollen", "912": "worm fence, snake fence, snake-rail fence, Virginia fence", "913": "wreck", "914": "yawl", "915": "yurt", "916": "web site, website, internet site, site", "917": "comic book", "918": "crossword puzzle, crossword", "919": "street sign", "920": "traffic light, traffic signal, stoplight", "921": "book jacket, dust cover, dust jacket, dust wrapper", "922": "menu", "923": "plate", "924": "guacamole", "925": "consomme", "926": "hot pot, hotpot", "927": "trifle", "928": "ice cream, icecream", "929": "ice lolly, lolly, lollipop, popsicle", "930": "French loaf", "931": "bagel, beigel", "932": "pretzel", "933": "cheeseburger", "934": "hotdog, hot dog, red hot", "935": "mashed potato", "936": "head cabbage", "937": "broccoli", "938": "cauliflower", "939": "zucchini, courgette", "940": "spaghetti squash", "941": "acorn squash", "942": "butternut squash", "943": "cucumber, cuke", "944": "artichoke, globe artichoke", "945": "bell pepper", "946": "cardoon", "947": "mushroom", "948": "Granny Smith", "949": "strawberry", "950": "orange", "951": "lemon", "952": "fig", "953": "pineapple, ananas", "954": "banana", "955": "jackfruit, jak, jack", "956": "custard apple", "957": "pomegranate", "958": "hay", "959": "carbonara", "960": "chocolate sauce, chocolate syrup", "961": "dough", "962": "meat loaf, meatloaf", "963": "pizza, pizza pie", "964": "potpie", "965": "burrito", "966": "red wine", "967": "espresso", "968": "cup", "969": "eggnog", "970": "alp", "971": "bubble", "972": "cliff, drop, drop-off", "973": "coral reef", "974": "geyser", "975": "lakeside, lakeshore", "976": "promontory, headland, head, foreland", "977": "sandbar, sand bar", "978": "seashore, coast, seacoast, sea-coast", "979": "valley, vale", "980": "volcano", "981": "ballplayer, baseball player", "982": "groom, bridegroom", "983": "scuba diver", "984": "rapeseed", "985": "daisy", "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", "987": "corn", "988": "acorn", "989": "hip, rose hip, rosehip", "990": "buckeye, horse chestnut, conker", "991": "coral fungus", "992": "agaric", "993": "gyromitra", "994": "stinkhorn, carrion fungus", "995": "earthstar", "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", "997": "bolete", "998": "ear, spike, capitulum", "999": "toilet tissue, toilet paper, bathroom tissue"}}}}] | {} |
pdf2dataset/8cb5af9d77db52358130ee7c04575906 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-03T06:59:10 | 2024-10-03T06:59:11 | [{"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}] | {} |
Lingalingeswaran/filtered_common_voice_tamil_english-preprocessed-quantized-v2 | default | 0 | 43 | ["size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-16T15:10:48 | 2024-12-16T15:11:32 | [{"name": "client_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 48000}}}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "int64"}, {"name": "down_votes", "dtype": "int64"}, {"name": "age", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "accent", "dtype": "string"}, {"name": "locale", "dtype": "string"}, {"name": "segment", "dtype": "string"}, {"name": "input_ids", "sequence": {"sequence": "float32"}}, {"name": "attention_mask", "sequence": {"sequence": "int8"}}, {"name": "labels", "dtype": "int64"}] | {} |
GokhanAI/temp | default | 0 | 82 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-10T11:53:50 | 2024-05-13T06:13:36 | [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "prompt", "dtype": "string"}, {"name": "message_send", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
jkazdan/gemma-2-27b-it-harmful-5000-refusal-0-hard-no | default | 0 | 28 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-03T06:33:04 | 2025-01-03T06:33:05 | [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
awabrizwan/finetune-test-eiffel_dataset_20 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-05T13:48:52 | 2024-01-05T13:48:59 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
sudhanshusaxena/GE_reuters_articles | default | 0 | 39 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-05T09:41:34 | 2024-11-05T10:29:18 | [{"name": "title", "dtype": "string"}, {"name": "body", "dtype": "string"}] | {} |
Qilex/tiny_stories_aug_half_first_pass | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-12T16:19:18 | 2024-09-12T16:19:21 | [{"name": "text", "dtype": "string"}] | {} |
rikeshsilwalekg/rasa_appointment | default | 0 | 58 | ["size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-12T06:45:16 | 2024-11-12T06:51:54 | [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}] | {} |
sarahpann/political-spectrum-questionnaire | default | 0 | 51 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-28T00:29:47 | 2024-02-28T00:31:18 | [{"name": "original_questions", "dtype": "string"}] | {} |
AdapterOcean/gptindex-standardized_cluster_0 | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-23T15:46:43 | 2023-10-23T15:46:46 | [{"name": "text", "dtype": "string"}, {"name": "conversation_id", "dtype": "int64"}, {"name": "embedding", "sequence": "float64"}, {"name": "cluster", "dtype": "int64"}] | {} |
nancyalarabawy/RiceLeaf150 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-28T15:20:02 | 2024-09-28T15:20:07 | [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}] | {} |
seriouspark/persona_3 | default | 0 | 36 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-04T06:46:44 | 2024-06-04T06:46:45 | [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
baptistecolle/sam-controlnet-original | default | 0 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-25T13:06:32 | 2023-05-29T09:48:39 | [{"name": "image", "dtype": "image"}, {"name": "filepath", "dtype": "string"}, {"name": "sentids", "list": "int32"}, {"name": "filename", "dtype": "string"}, {"name": "imgid", "dtype": "int32"}, {"name": "split", "dtype": "string"}, {"name": "sentences", "struct": [{"name": "tokens", "list": "string"}, {"name": "raw", "dtype": "string"}, {"name": "imgid", "dtype": "int32"}, {"name": "sentid", "dtype": "int32"}]}, {"name": "cocoid", "dtype": "int32"}] | {} |
tmpmodelsave/beta01dpollama3_it_math_type2only_with_sft_loss_400tmp07 | default | 0 | 6 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-18T02:32:06 | 2025-01-18T02:32:08 | [{"name": "idx", "dtype": "int64"}, {"name": "gt", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "my_solu", "sequence": "string"}, {"name": "pred", "sequence": "string"}, {"name": "rewards", "sequence": "bool"}] | {} |
KK1mo/tedigan_gen_2 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-24T02:54:12 | 2024-01-24T02:54:17 | [{"name": "id", "dtype": "string"}, {"name": "caption", "dtype": "string"}, {"name": "generated_image", "dtype": "image"}] | {} |
brendan-ml/osrs-ExamplePlugin-val-20241205_012201-chunk-42 | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-05T18:10:28 | 2024-12-05T18:10:50 | [{"name": "skill", "sequence": "int64"}, {"name": "mouse_position", "sequence": "float64"}, {"name": "camera", "struct": [{"name": "pitch", "dtype": "float64"}, {"name": "yaw", "dtype": "float64"}, {"name": "zoom", "dtype": "float64"}]}, {"name": "location", "struct": [{"name": "global_polar", "struct": [{"name": "radius", "dtype": "float64"}, {"name": "theta", "dtype": "float64"}]}, {"name": "region", "sequence": "int64"}]}, {"name": "in_combat", "dtype": "bool"}, {"name": "animation", "sequence": "int64"}, {"name": "timing", "struct": [{"name": "clicks", "struct": [{"name": "left", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}, {"name": "middle", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}, {"name": "right", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}]}, {"name": "experience", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}]}, {"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}] | {} |
lilacai/glaive-function-calling-v2-sharegpt | default | 26 | 137 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-22T22:32:20 | 2024-01-29T23:18:46 | [{"name": "chat", "dtype": "string"}, {"name": "system", "dtype": "string"}, {"name": "__hfsplit__", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}] | {} |
transitionGap/consumercourt-india-prefered-dataset-prep-small | default | 0 | 36 | ["license:mit", "size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-10-13T11:31:37 | 2024-10-13T16:08:11 | [{"name": "response", "dtype": "string"}, {"name": "helpfulness", "dtype": "float64"}, {"name": "correctness", "dtype": "float64"}, {"name": "coherence", "dtype": "float64"}, {"name": "complexity", "dtype": "float64"}, {"name": "verbosity", "dtype": "float64"}, {"name": "question", "dtype": "string"}] | {} |
OccasionallyNLP/MMMLU_ko | default | 0 | 173 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-13T07:31:01 | 2025-01-13T09:16:08 | [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "int64"}, {"name": "choices", "sequence": "string"}, {"name": "domain", "dtype": "string"}] | {} |
EgilKarlsen/System_100K | default | 0 | 31 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-22T15:07:23 | 2023-08-22T15:07:31 | [{"name": "log", "dtype": "string"}] | {} |
KeshavRa/Larkin_Get_Help_Youth_Resources | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-16T20:06:28 | 2024-07-16T20:06:29 | [{"name": "questions", "dtype": "string"}, {"name": "answers", "dtype": "string"}] | {} |
RyanYr/self-reflect_mini8Bit-t0_mistlarge-t12_om2 | default | 0 | 38 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-19T13:48:25 | 2024-11-19T13:48:30 | [{"name": "problem", "dtype": "string"}, {"name": "generated_solution", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "problem_source", "dtype": "string"}, {"name": "response@0", "sequence": "string"}, {"name": "response@1", "sequence": "string"}, {"name": "response@2", "sequence": "string"}] | {} |
bh8648/split_dataset_16-1 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-19T23:27:21 | 2023-10-19T23:27:24 | [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "page_num", "dtype": "int64"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a087f349-b4a2-465b-9394-71dbfcafa2fd | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-18T12:39:50 | 2024-11-18T12:39:51 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
RyanYr/reflect_mini8bSFTt2_mini8BSFTt1_om2_iPSDP_it1_t2_dpo | default | 0 | 35 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-25T19:05:49 | 2024-12-25T19:05:51 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "comment", "dtype": "string"}] | {} |
DT4LM/naive_gpt2_mr_pair_faster-alzantot_original_old | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-24T12:25:57 | 2024-12-24T12:26:00 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int32"}] | {} |
Jing24/seperate_all_sub1 | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-18T21:41:59 | 2023-08-18T21:42:01 | [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int32"}, {"name": "text", "sequence": "string"}]}] | {} |
jxie/imagenet-1k-vit-s-vqgan-virtual-share-causal-256-patch-16-fp | default | 0 | 38 | ["size_categories:10M<n<100M", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-21T05:33:04 | 2024-07-21T05:38:18 | [{"name": "label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}] | {} |
Chaymaa/ufpr-amr-donut | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-16T07:10:41 | 2023-05-16T07:11:17 | [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}] | {} |
Anchar/sutd_qa_dataset | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-04-15T12:32:44 | 2024-04-15T12:32:47 | [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}] | {} |
andersonbcdefg/gpt35_triples_filtered | default | 1 | 31 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-08T05:30:22 | 2024-01-08T05:31:30 | [{"name": "task", "dtype": "string"}, {"name": "neg", "dtype": "string"}, {"name": "query", "dtype": "string"}, {"name": "pos", "dtype": "string"}, {"name": "margin", "dtype": "float32"}] | {} |
davanstrien/self-oss-instruct-sc2-exec-filter-50k-short | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-28T15:18:37 | 2024-05-28T15:18:38 | [{"name": "fingerprint", "dtype": "null"}, {"name": "sha1", "dtype": "string"}, {"name": "seed", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "concepts", "sequence": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9f7d80de-2712-492a-8981-3d7c211ffdf7 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-07T13:44:03 | 2024-10-07T13:44:04 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
violetxi/PRM-ak-prm-full-sft-MATH-500_L1_beam_N128_B8_D40_T0.0001_0-43 | default | 0 | 41 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-23T14:43:17 | 2024-12-23T15:21:43 | [{"name": "problem", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "search_trace_with_values", "dtype": "string"}, {"name": "search_method", "dtype": "string"}, {"name": "ground_truth", "dtype": "string"}, {"name": "search_input_tokens", "dtype": "int64"}, {"name": "search_output_tokens", "dtype": "int64"}, {"name": "solution_input_tokens", "dtype": "int64"}, {"name": "solution_output_tokens", "dtype": "int64"}] | {} |
KK1mo/tedigan_1 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-12-06T20:30:42 | 2023-12-07T03:53:40 | [{"name": "id", "dtype": "string"}, {"name": "caption", "dtype": "string"}, {"name": "generated_image", "dtype": "image"}] | {} |
andrewsiah/PersonaPromptPersonalLLM_128 | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-09T15:56:56 | 2024-08-09T15:56:58 | [{"name": "personaid_128_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_128_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": "response_8_mistral_raft", "dtype": "float64"}, {"name": "response_1_mistral_ray", "dtype": "float64"}, {"name": "response_2_mistral_ray", "dtype": "float64"}, {"name": "response_3_mistral_ray", "dtype": "float64"}, {"name": "response_4_mistral_ray", "dtype": "float64"}, {"name": "response_5_mistral_ray", "dtype": "float64"}, {"name": "response_6_mistral_ray", "dtype": "float64"}, {"name": "response_7_mistral_ray", "dtype": "float64"}, {"name": "response_8_mistral_ray", "dtype": "float64"}, {"name": "response_1_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_2_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_3_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_4_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_5_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_6_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_7_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_8_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_1_llama3_sfairx", "dtype": "float64"}, {"name": "response_2_llama3_sfairx", "dtype": "float64"}, {"name": "response_3_llama3_sfairx", "dtype": "float64"}, {"name": "response_4_llama3_sfairx", "dtype": "float64"}, {"name": "response_5_llama3_sfairx", "dtype": "float64"}, {"name": "response_6_llama3_sfairx", "dtype": "float64"}, {"name": "response_7_llama3_sfairx", "dtype": "float64"}, {"name": "response_8_llama3_sfairx", "dtype": "float64"}, {"name": "response_1_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_2_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_3_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_4_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_5_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_6_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_7_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_8_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_1_beaver_7b", "dtype": "float64"}, {"name": "response_2_beaver_7b", "dtype": "float64"}, {"name": "response_3_beaver_7b", "dtype": "float64"}, {"name": "response_4_beaver_7b", "dtype": "float64"}, {"name": "response_5_beaver_7b", "dtype": "float64"}, {"name": "response_6_beaver_7b", "dtype": "float64"}, {"name": "response_7_beaver_7b", "dtype": "float64"}, {"name": "response_8_beaver_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_1b", "dtype": "float64"}, {"name": "id", "dtype": "int64"}, {"name": "rformatted_promptresponse_1", "dtype": "string"}, {"name": "rformatted_promptresponse_2", "dtype": "string"}, {"name": "rformatted_promptresponse_3", "dtype": "string"}, {"name": "rformatted_promptresponse_4", "dtype": "string"}, {"name": "rformatted_promptresponse_5", "dtype": "string"}, {"name": "rformatted_promptresponse_6", "dtype": "string"}, {"name": "rformatted_promptresponse_7", "dtype": "string"}, {"name": "rformatted_promptresponse_8", "dtype": "string"}] | {} |
Gragroo/psychology-question-answer_psygpt_with_validation | default | 0 | 40 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-28T10:45:23 | 2024-10-28T10:45:31 | [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}] | {} |
bh8648/split_dataset_19 | default | 0 | 36 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-19T10:19:28 | 2023-10-19T10:19:30 | [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "page_num", "dtype": "int64"}] | {} |
pvduy/synth_code_preference_4k | default | 0 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-13T11:17:19 | 2023-10-13T11:17:21 | [{"name": "prompt", "dtype": "string"}, {"name": "selected", "dtype": "string"}, {"name": "rejected", "dtype": "string"}] | {} |
joey00072/pretokenized__HuggingFaceFW_fineweb-edu__EleutherAI__gpt-neo-125m | default | 0 | 111 | ["size_categories:1M<n<10M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-22T11:27:46 | 2024-11-22T11:46:23 | [{"name": "id", "dtype": "string"}, {"name": "dump", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "language_score", "dtype": "float64"}, {"name": "token_count", "dtype": "int64"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}] | {} |
uniiiii/Whisper-fine-tune-p-17 | default | 0 | 35 | ["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-17T04:29:28 | 2024-05-17T04:39:24 | [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "transcripts", "dtype": "string"}] | {} |
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