hub_id
large_string | config_name
large_string | likes
int64 | downloads
int64 | tags
large_string | language
large_string | license
large_string | created_at
timestamp[us] | last_modified
timestamp[us] | features
large_string | version
large_string |
|---|---|---|---|---|---|---|---|---|---|---|
albertge/dolly-15k-clustered-20241231
|
default
| 0 | 44 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-31T21:55:05 | 2024-12-31T21:55:09 |
[{"name": "instruction", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "cluster_id", "dtype": "int32"}]
|
{}
|
brendan-ml/osrs-ExamplePlugin-train-20241205_012201-chunk-182
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-05T17:43:54 | 2024-12-05T17:44:22 |
[{"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": "null"}, {"name": "time_until_next", "dtype": "null"}]}]}, {"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"}}}]
|
{}
|
RichardFang/jenny-tts-tags-6h-v1
|
default
| 0 | 34 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-18T07:11:30 | 2024-09-18T07:11:31 |
[{"name": "file_name", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "transcription_normalised", "dtype": "string"}, {"name": "utterance_pitch_mean", "dtype": "float32"}, {"name": "utterance_pitch_std", "dtype": "float32"}, {"name": "snr", "dtype": "float64"}, {"name": "c50", "dtype": "float64"}, {"name": "speaking_rate", "dtype": "float64"}, {"name": "phonemes", "dtype": "string"}, {"name": "stoi", "dtype": "float64"}, {"name": "si-sdr", "dtype": "float64"}, {"name": "pesq", "dtype": "float64"}]
|
{}
|
liuyanchen1015/MULTI_VALUE_mrpc_synthetic_superlative
|
default
| 0 | 29 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-04-03T19:31:29 | 2023-04-03T19:31:33 |
[{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}]
|
{}
|
jkazdan/Mistral-7b-cipher-5000-HeX-PHI
|
default
| 0 | 26 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-11T22:42:28 | 2025-01-11T22:52:13 |
[{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}]
|
{}
|
akoukas/HC3
|
default
| 0 | 30 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-13T02:07:59 | 2024-03-13T02:08:02 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Generated", "1": "Human"}}}}]
|
{}
|
SagiPolaczek/sketched_objects
|
default
| 2 | 40 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-22T22:13:46 | 2024-11-22T22:13:58 |
[{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}]
|
{}
|
mask-distilled-one-sec-cv12/chunk_22
|
default
| 0 | 30 |
["size_categories:100K<n<1M", "format:parquet", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-18T22:47:00 | 2023-05-18T22:47:51 |
[{"name": "logits", "sequence": "float32"}, {"name": "mfcc", "sequence": {"sequence": "float64"}}]
|
{}
|
yiyic/Indo-Aryan-hin-urd-guj-pan_dev_lang_script_id
|
default
| 0 | 33 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-22T21:26:18 | 2024-07-22T21:26:20 |
[{"name": "text", "dtype": "string"}, {"name": "lang", "dtype": "string"}]
|
{}
|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_e7655dfa-a746-45af-a6e3-0ac79fafac3a
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-24T08:25:59 | 2024-10-24T08:25:59 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}]
|
{}
|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_18bb43c0-6353-47ef-8551-87557f911321
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-30T10:59:59 | 2024-10-30T11:00:00 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}]
|
{}
|
tuanmanh28/VIVOS_CommonVoice_FOSD_CleanControl_dataset
|
default
| 1 | 46 |
["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-01-10T15:53:59 | 2024-01-10T16:00:21 |
[{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}]
|
{}
|
llama2d/llama2d-synthetic
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:timeseries", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-02T22:23:07 | 2024-03-02T22:50:04 |
[{"name": "input_ids", "sequence": "float32"}, {"name": "coords", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "float32"}, {"name": "attention_mask", "sequence": "float32"}]
|
{}
|
anthonytrieu/betrunglanggom
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-04T16:19:42 | 2024-06-04T16:21:27 |
[{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}]
|
{}
|
jxie/slurp
|
default
| 0 | 34 |
["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-10-25T04:13:20 | 2023-10-25T04:31:33 |
[{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}]
|
{}
|
selfcorrexp2/llama3_sft_first_wrong_prompt1_generation1
|
default
| 0 | 32 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-27T22:54:06 | 2024-12-28T02:41:28 |
[{"name": "idx", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "first_round", "dtype": "bool"}, {"name": "gt", "dtype": "string"}]
|
{}
|
mtc/multirc_dev_pairs_answers
|
default
| 0 | 32 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-01-31T08:10:51 | 2024-01-31T08:10:53 |
[{"name": "document", "dtype": "string"}, {"name": "summary", "dtype": "string"}]
|
{}
|
youssefkhalil320/pairs_three_scores_v3
|
default
| 0 | 79 |
["size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-24T21:04:05 | 2024-12-24T21:10:42 |
[{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "__index_level_0__", "dtype": "int64"}]
|
{}
|
nguyenthanhdo/ultrachat-aem-alpaca-v1.0
|
default
| 0 | 32 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-11-09T08:07:06 | 2023-11-09T08:25:20 |
[{"name": "id", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
LangAGI-Lab/step-wise-eval-description-with-refined-tao-gw
|
default
| 0 | 7 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-25T13:28:22 | 2024-09-25T13:32:48 |
[{"name": "task_id", "dtype": "string"}, {"name": "step_idx", "dtype": "int64"}, {"name": "cur_observation", "dtype": "string"}, {"name": "prev_observation", "dtype": "string"}, {"name": "next_observation", "dtype": "string"}, {"name": "prev_actions", "sequence": "string"}, {"name": "gold_action", "dtype": "string"}, {"name": "objective", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "next_state_tao", "dtype": "string"}, {"name": "new_items", "dtype": "string"}, {"name": "updated_items", "dtype": "string"}, {"name": "deleted_items", "dtype": "string"}, {"name": "value_score", "dtype": "float64"}, {"name": "refined_tao", "dtype": "string"}, {"name": "raw_prediction", "dtype": "string"}, {"name": "rationale", "dtype": "string"}, {"name": "next_state_description_with_tao", "dtype": "string"}]
|
{}
|
open-source-metrics/evaluate-dependents
|
default
| 0 | 806 |
["license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "github-stars"]
|
null
|
"apache-2.0"
| 2022-09-05T15:33:19 | 2024-05-27T18:30:07 |
[{"name": "name", "dtype": "string"}, {"name": "stars", "dtype": "int64"}, {"name": "forks", "dtype": "int64"}]
|
{}
|
DNA-LLM/cpg_methylation_benchmark_v1
|
default
| 0 | 31 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-09T14:39:09 | 2024-06-09T14:39:18 |
[{"name": "sequence", "dtype": "string"}, {"name": "labels", "dtype": "string"}]
|
{}
|
gmongaras/Anime_Subtitle_data
|
default
| 0 | 36 |
["size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-31T16:41:19 | 2024-03-31T17:01:12 |
[{"name": "text", "dtype": "string"}]
|
{}
|
parinzee/pingu-images-dreambooth
|
default
| 0 | 40 |
["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-01-10T03:48:19 | 2023-01-10T03:48:30 |
[{"name": "image", "dtype": "image"}]
|
{}
|
yuvalkirstain/pexel_people
|
default
| 0 | 63 |
["size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-01-23T13:10:10 | 2023-01-23T14:01:38 |
[{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}, {"name": "generated_caption", "dtype": "string"}]
|
{}
|
katarinagresova/Genomic_Benchmarks_human_ocr_ensembl
|
default
| 0 | 41 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-03-13T19:35:11 | 2023-03-13T19:35:27 |
[{"name": "seq", "dtype": "string"}, {"name": "label", "dtype": "int64"}]
|
{}
|
ZorraZabb/full_coding_sampling_xml_fitered
|
default
| 0 | 30 |
["size_categories:1M<n<10M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-13T06:36:15 | 2024-09-13T06:46:05 |
[{"name": "text", "dtype": "string"}, {"name": "dir", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "created_date", "dtype": "timestamp[us]"}, {"name": "updated_date", "dtype": "timestamp[us]"}, {"name": "repo_name", "dtype": "string"}, {"name": "repo_full_name", "dtype": "string"}, {"name": "star", "dtype": "int64"}, {"name": "len_tokens", "dtype": "int64"}]
|
{}
|
MasaFoundation/huberman_lab_Sleep_Toolkit_Tools_for_Optimizing_Sleep__Sleep-Wake_Timing
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-09T01:20:19 | 2024-08-12T15:37:19 |
[{"name": "speaker", "dtype": "string"}, {"name": "text", "dtype": "string"}]
|
{}
|
ferrazzipietro/unLS_Llama-3.1-8B_e3c-sentences_NoQuant_16_32_0.05_64_BestF1
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-03T09:13:52 | 2024-12-03T09:13:54 |
[{"name": "sentence", "dtype": "string"}, {"name": "entities", "list": [{"name": "id", "dtype": "string"}, {"name": "offsets", "sequence": "int64"}, {"name": "role", "dtype": "string"}, {"name": "semantic_type_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "type", "dtype": "string"}]}, {"name": "original_text", "dtype": "string"}, {"name": "original_id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}, {"name": "ground_truth_word_level", "sequence": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "predictions", "sequence": "string"}, {"name": "ground_truth_labels", "sequence": "string"}]
|
{}
|
Nano1337/CLOVE-scores-english-agreed
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-16T21:56:57 | 2024-06-16T21:56:58 |
[{"name": "uid", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}, {"name": "CLIPscore", "dtype": "float64"}, {"name": "VQAscore", "dtype": "float64"}, {"name": "CLIPscore_percentile", "dtype": "float64"}, {"name": "VQAscore_percentile", "dtype": "float64"}, {"name": "percentile_difference", "dtype": "float64"}]
|
{}
|
NiharMandahas/Os_evaluator
|
default
| 0 | 37 |
["license:mit", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"mit"
| 2024-06-05T14:42:52 | 2024-06-05T14:51:49 |
[{"name": "Question", "dtype": "string"}, {"name": "User answer", "dtype": "string"}, {"name": "Answer score(out of 5)", "dtype": "string"}, {"name": "Temp", "dtype": "string"}, {"name": "Text", "dtype": "string"}]
|
{}
|
winnieyangwannan/mitchell-filtered-facts-pythia-12b-143000
|
default
| 0 | 38 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-02T20:05:55 | 2024-08-04T19:03:37 |
[{"name": "claim", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "dataset", "dtype": "string"}, {"name": "qa_type", "dtype": "int64"}, {"name": "ind", "dtype": "int64"}]
|
{}
|
alihmaou/bdnb_2023-11.a_batiment_groupe_dvf_open_representatif_19
|
default
| 0 | 29 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-14T19:32:19 | 2024-08-14T19:32:20 |
[{"name": "batiment_groupe_id", "dtype": "string"}, {"name": "id_opendata", "dtype": "string"}, {"name": "code_departement_insee", "dtype": "string"}, {"name": "valeur_fonciere", "dtype": "float64"}, {"name": "date_mutation", "dtype": "date32"}, {"name": "nb_locaux_mutee_mutation", "dtype": "int64"}, {"name": "nb_maison_mutee_mutation", "dtype": "int64"}, {"name": "nb_appartement_mutee_mutation", "dtype": "int64"}, {"name": "nb_dependance_mutee_mutation", "dtype": "int64"}, {"name": "nb_locaux_tertiaire_mutee_mutation", "dtype": "int64"}, {"name": "surface_bati_mutee_residencielle_individuelle", "dtype": "int64"}, {"name": "surface_bati_mutee_residencielle_collective", "dtype": "int64"}, {"name": "surface_bati_mutee_dependance", "dtype": "int64"}, {"name": "surface_bati_mutee_tertiaire", "dtype": "int64"}, {"name": "surface_terrain_mutee", "dtype": "int64"}, {"name": "nb_piece_principale", "dtype": "int64"}, {"name": "prix_m2_local", "dtype": "int64"}, {"name": "prix_m2_terrain", "dtype": "int64"}]
|
{}
|
saishshinde15/Medical_dataset-3k
|
default
| 0 | 34 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-23T13:57:35 | 2024-08-23T13:57:36 |
[{"name": "instruction", "dtype": "string"}, {"name": "task_output", "dtype": "string"}, {"name": "transcription", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "medical_specialty", "dtype": "string"}, {"name": "sample_name", "dtype": "string"}, {"name": "keywords", "dtype": "string"}, {"name": "derived_keywords", "dtype": "string"}, {"name": "transcription_length", "dtype": "int64"}, {"name": "normalized_length", "dtype": "float64"}, {"name": "complexity_score", "dtype": "float64"}, {"name": "text", "dtype": "string"}]
|
{}
|
kawsarahmd/bangla_news_and_wiki_v1
|
default
| 0 | 38 |
["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-23T21:26:27 | 2024-10-23T21:29:01 |
[{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}]
|
{}
|
joey234/mmlu-human_aging-neg
|
default
| 2 | 37 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-04-20T06:36:04 | 2023-04-20T06:36:08 |
[{"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "question", "dtype": "string"}]
|
{}
|
nguyenthanhdo/safety_en_100k
|
default
| 0 | 30 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-14T01:38:41 | 2023-12-14T01:38:54 |
[{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "translated", "dtype": "bool"}]
|
{}
|
asprenger/no_robots_chat
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-05-13T13:46:22 | 2024-05-13T13:46:30 |
[{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
CJWeiss/lcr_final_id_rename
|
default
| 0 | 32 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-11-19T12:53:59 | 2023-11-19T12:54:09 |
[{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "int64"}]
|
{}
|
asas-ai/AQAD
|
default
| 0 | 30 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-05-02T04:50:42 | 2024-05-02T04:50:45 |
[{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}]
|
{}
|
supergoose/buzz_sources_045_lmsys-chat-1m-nectar
|
default
| 0 | 39 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-10T18:06:37 | 2024-11-10T18:06:39 |
[{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source", "dtype": "string"}, {"name": "stack", "dtype": "string"}]
|
{}
|
tr416/dataset_20231006_234856
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-10-06T23:48:56 | 2023-10-06T23:48:57 |
[{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}]
|
{}
|
RyanYr/reflect_nonGenCritic_mini8B_Om2G8kOm2AgG8k40k_iPSDP_it1_OrmTrain
|
default
| 0 | 24 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-06T23:25:41 | 2025-01-06T23:25:43 |
[{"name": "input", "dtype": "string"}, {"name": "labels", "dtype": "bool"}]
|
{}
|
coastalcph/xlingual_mpararel_autorr
|
default
| 0 | 78 |
["size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-06T15:18:22 | 2024-04-04T10:18:40 |
[{"name": "id", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "relation", "dtype": "string"}, {"name": "template", "dtype": "string"}, {"name": "template_id", "dtype": "int64"}, {"name": "query", "dtype": "string"}, {"name": "sub_uri", "dtype": "string"}, {"name": "obj_uri", "dtype": "string"}, {"name": "obj_label", "sequence": "string"}, {"name": "sub_label", "dtype": "string"}, {"name": "lineid", "dtype": "int64"}]
|
{}
|
ShiningJazz/feedback_assistant_harmlesshelpfulhumor_271_2_3_2
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-28T19:23:56 | 2024-09-28T19:23:58 |
[{"name": "prompt", "dtype": "string"}, {"name": "response_a", "dtype": "string"}, {"name": "reward_a", "sequence": "float64"}, {"name": "response_b", "dtype": "string"}, {"name": "reward_b", "sequence": "float64"}, {"name": "comparison", "dtype": "int64"}]
|
{}
|
tyzhu/lmind_nq_train6000_eval6489_v1_reciteonly_qa_v3
|
default
| 0 | 30 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-31T07:43:51 | 2024-03-31T07:44:13 |
[{"name": "answers", "struct": [{"name": "answer_start", "sequence": "null"}, {"name": "text", "sequence": "string"}]}, {"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}]
|
{}
|
Datasaur/Mongabay-collection
|
default
| 0 | 55 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-18T08:12:04 | 2024-03-18T08:12:51 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "tags", "dtype": "string"}]
|
{}
|
chichi56/code_ultra_feedback
|
default
| 0 | 29 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-01T08:36:23 | 2024-08-01T08:36:35 |
[{"name": "instruction", "dtype": "string"}, {"name": "chosen_response", "dtype": "string"}, {"name": "chosen_score", "dtype": "string"}, {"name": "rejected_response", "dtype": "string"}, {"name": "rejected_score", "dtype": "string"}]
|
{}
|
mile8822/llama3_senti
|
default
| 0 | 32 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-11T13:01:21 | 2024-07-11T13:02:42 |
[{"name": "text", "dtype": "string"}]
|
{}
|
supergoose/buzz_sources_147_makefile
|
default
| 0 | 38 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-10T18:09:54 | 2024-11-10T18:09:55 |
[{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source", "dtype": "string"}, {"name": "stack", "dtype": "string"}]
|
{}
|
Seongill/NQ_5_uns-adv-test
|
default
| 0 | 31 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-14T06:34:58 | 2023-12-14T06:35:01 |
[{"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "has_answer", "dtype": "bool"}, {"name": "similar_sub", "dtype": "string"}, {"name": "ctxs", "list": [{"name": "answer_sent", "sequence": "string"}, {"name": "hasanswer", "dtype": "bool"}, {"name": "id", "dtype": "string"}, {"name": "is_adv", "dtype": "bool"}, {"name": "new_answer_sent", "dtype": "string"}, {"name": "original_text", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}]}, {"name": "status", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}]
|
{}
|
tonyshining/vlsp20_1proceed
|
default
| 0 | 30 |
["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-19T08:28:43 | 2023-12-19T08:38:32 |
[{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}, {"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}]
|
{}
|
supergoose/buzz_sources_166_wizardlm-13b
|
default
| 0 | 38 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-10T20:28:46 | 2024-11-10T20:28:48 |
[{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source", "dtype": "string"}, {"name": "stack", "dtype": "string"}]
|
{}
|
saffr0n/ccai_australia
|
default
| 0 | 31 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-15T23:35:25 | 2024-03-15T23:35:26 |
[{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "principle", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "init_response", "dtype": "string"}, {"name": "example", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "critic_response", "dtype": "string"}, {"name": "revision_response", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
datacomp/imagenet-1k-random-100.0-frac-1over4
|
default
| 0 | 42 |
["size_categories:100K<n<1M", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-06T11:48:15 | 2025-01-08T07:57:29 |
[{"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": "television, television system", "852": "tennis ball", "853": "thatch, thatched roof", "854": "theater curtain, theatre curtain", "855": "thimble", "856": "thresher, thrasher, threshing machine", "857": "throne", "858": "tile roof", "859": "toaster", "860": "tobacco shop, tobacconist shop, tobacconist", "861": "toilet seat", "862": "torch", "863": "totem pole", "864": "tow truck, tow car, wrecker", "865": "toyshop", "866": "tractor", "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", "868": "tray", "869": "trench coat", "870": "tricycle, trike, velocipede", "871": "trimaran", "872": "tripod", "873": "triumphal arch", "874": "trolleybus, trolley coach, trackless trolley", "875": "trombone", "876": "tub, vat", "877": "turnstile", "878": "typewriter keyboard", "879": "umbrella", "880": "unicycle, monocycle", "881": "upright, upright piano", "882": "vacuum, vacuum cleaner", "883": "vase", "884": "vault", "885": "velvet", "886": "vending machine", "887": "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"}}}}]
|
{}
|
bigcomputer/kaggle-notebooks-outputs-filtered-10
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-27T15:34:35 | 2024-12-27T16:53:18 |
[{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "file_path", "dtype": "string"}]
|
{}
|
abhi0252000/train_emotion_fall
|
default
| 0 | 39 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-31T21:52:13 | 2024-10-31T21:52:15 |
[{"name": "text", "dtype": "string"}, {"name": "label", "sequence": "float64"}]
|
{}
|
HowMannyMore/romanurdu-sentiment-dataset
|
default
| 1 | 32 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-15T10:40:26 | 2023-12-15T10:40:29 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]
|
{}
|
jacpetro/CodeAlpaca-20k
|
default
| 0 | 39 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-14T12:52:49 | 2024-09-16T04:54:38 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
Teklia/ATR-benchmark
|
default
| 1 | 59 |
["task_categories:image-to-text", "language:fr", "language:la", "language:en", "language:no", "language:ar", "language:zh", "language:de", "language:nl", "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "atr", "htr", "ocr"]
|
["fr", "la", "en", "no", "ar", "zh", "de", "nl"]
|
null
| 2024-10-23T12:55:46 | 2025-01-15T09:41:41 |
[{"name": "dataset", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "arkindex_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "level", "dtype": "string"}]
|
{}
|
othorizedshogun/poems_dataset
|
default
| 1 | 55 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-10-26T13:37:02 | 2023-10-26T13:37:06 |
[{"name": "poem", "dtype": "string"}, {"name": "form", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "input", "dtype": "string"}]
|
{}
|
pphuc25/text2graph
|
default
| 0 | 39 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-16T17:50:05 | 2024-10-16T17:50:12 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
anindya-hf-2002/pix2tex_data
|
default
| 0 | 37 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-07T14:13:27 | 2025-01-07T14:13:31 |
[{"name": "image", "dtype": "string"}, {"name": "latex", "dtype": "string"}]
|
{}
|
Tippawan/en-th-full-abstract-pairs-I
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-18T03:53:57 | 2024-03-18T04:06:49 |
[{"name": "translation", "struct": [{"name": "en", "dtype": "string"}, {"name": "th", "dtype": "string"}]}]
|
{}
|
junhan17/ex23
|
default
| 0 | 31 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-15T07:19:57 | 2024-07-15T07:25:05 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
karanowalekar/finetuning_profile
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-18T23:46:36 | 2024-08-19T00:43:25 |
[{"name": "prompt", "dtype": "string"}]
|
{}
|
brendan-ml/osrs-ExamplePlugin-train-20241205_012201-chunk-204
|
default
| 0 | 40 |
["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-05T17:55:08 | 2024-12-05T17:55:25 |
[{"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": "null"}, {"name": "time_until_next", "dtype": "null"}]}, {"name": "right", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "null"}, {"name": "time_until_next", "dtype": "null"}]}]}, {"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"}}}]
|
{}
|
haorandai/Dec30_Random_Mice_UF_Epsilon0.05_10samples_1constraint
|
default
| 0 | 29 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-31T01:06:48 | 2024-12-31T01:06:49 |
[{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}]
|
{}
|
Mr-Vicky-01/Security-QnA
|
default
| 1 | 46 |
["license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"apache-2.0"
| 2024-09-11T11:37:42 | 2024-10-01T10:42:59 |
[{"name": "Question", "dtype": "string"}, {"name": "Vulnerability Type", "dtype": "string"}, {"name": "Answer", "dtype": "string"}]
|
{}
|
chiyuanhsiao/mmlu_stage1_replay-score
|
default
| 0 | 6 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-17T05:32:11 | 2025-01-17T05:33:01 |
[{"name": "task_type", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "subtask_name", "dtype": "string"}, {"name": "input_question", "dtype": "string"}, {"name": "input_choice_list", "struct": [{"name": "A", "dtype": "string"}, {"name": "B", "dtype": "string"}, {"name": "C", "dtype": "string"}, {"name": "D", "dtype": "string"}]}, {"name": "input_final_prompts", "sequence": "string"}, {"name": "input_correct_responses", "sequence": "string"}, {"name": "output_prediction_text", "sequence": "string"}, {"name": "output_parsed_answer", "dtype": "string"}, {"name": "output_choice_completions", "dtype": "null"}, {"name": "output_choice_negative_log_likelihoods", "dtype": "null"}, {"name": "output_metrics", "struct": [{"name": "acc", "dtype": "float64"}, {"name": "correct_format", "dtype": "float64"}]}, {"name": "is_correct", "dtype": "bool"}, {"name": "input_question_hash", "dtype": "string"}, {"name": "input_final_prompts_hash", "sequence": "string"}, {"name": "benchmark_label", "dtype": "string"}, {"name": "eval_config", "struct": [{"name": "max_gen_len", "dtype": "string"}, {"name": "max_prompt_len", "dtype": "string"}, {"name": "num_few_shot", "dtype": "string"}, {"name": "num_generations", "dtype": "string"}, {"name": "prompt_fn", "dtype": "string"}, {"name": "return_logprobs", "dtype": "string"}, {"name": "seed", "dtype": "string"}, {"name": "temperature", "dtype": "string"}, {"name": "top_k", "dtype": "string"}, {"name": "top_p", "dtype": "string"}]}, {"name": "my_prediction_text", "dtype": "string"}, {"name": "text_score", "dtype": "int64"}, {"name": "my_parsed_answer", "dtype": "string"}]
|
{}
|
shossain/govreport-qa-5-4096
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-10-03T18:23:54 | 2023-10-03T19:36:20 |
[{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}]
|
{}
|
Gummybear05/E50_Yspeed_pause
|
default
| 0 | 39 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-05T14:11:38 | 2024-11-05T14:13:37 |
[{"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "sample_rate", "dtype": "int64"}]}, {"name": "text", "dtype": "string"}, {"name": "scriptId", "dtype": "int64"}, {"name": "fileNm", "dtype": "string"}, {"name": "recrdTime", "dtype": "float64"}, {"name": "recrdQuality", "dtype": "int64"}, {"name": "recrdDt", "dtype": "string"}, {"name": "scriptSetNo", "dtype": "string"}, {"name": "recrdEnvrn", "dtype": "string"}, {"name": "colctUnitCode", "dtype": "string"}, {"name": "cityCode", "dtype": "string"}, {"name": "recrdUnit", "dtype": "string"}, {"name": "convrsThema", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "recorderId", "dtype": "string"}, {"name": "age", "dtype": "int64"}]
|
{}
|
Dongwookss/prac_fut
|
default
| 0 | 36 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-12T01:13:36 | 2024-06-12T02:41:00 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_0d060ca8-1c03-440b-9b9b-3e4d7690a816
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-18T11:19:38 | 2024-09-18T11:19:39 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}]
|
{}
|
sajadh/SAJADH-llama2-500
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-29T07:10:41 | 2024-11-29T07:10:43 |
[{"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"}]}]
|
{}
|
DT4LM/debertav3base_rte_clare_original
|
default
| 0 | 40 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-29T15:02:49 | 2024-11-30T07:44:44 |
[{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int32"}]
|
{}
|
lingvenvist/animacy-fr-goldstandard-original-dataset-no-glosses
|
default
| 0 | 41 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-05T13:03:25 | 2024-12-05T13:03:30 |
[{"name": "sentences", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "anim_tags", "sequence": {"class_label": {"names": {"0": "N", "1": "A", "2": "H"}}}}, {"name": "target-indexes", "sequence": "int64"}, {"name": "source", "dtype": "string"}]
|
{}
|
nhagar/CC-MAIN-2016-22_urls
|
default
| 0 | 30 |
["size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "doi:10.57967/hf/4114", "region:us"]
|
null
|
null
| 2025-01-09T02:30:45 | 2025-01-09T02:31:33 |
[{"name": "crawl", "dtype": "string"}, {"name": "url_host_name", "dtype": "string"}, {"name": "url_count", "dtype": "int64"}]
|
{}
|
ywchoi/mmlu_pro_health
|
default
| 0 | 36 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-05T21:51:35 | 2024-06-05T21:51:36 |
[{"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "answer_index", "dtype": "int64"}, {"name": "cot_content", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "src", "dtype": "string"}]
|
{}
|
MeelUnv/data_articles
|
default
| 0 | 29 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-19T15:05:33 | 2024-09-19T15:05:34 |
[{"name": "Content", "dtype": "string"}, {"name": "Question", "dtype": "string"}, {"name": "Context", "dtype": "string"}, {"name": "answer", "dtype": "string"}]
|
{}
|
EmnaFazaa/financial_data_labled_1
|
default
| 1 | 37 |
["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-04-26T00:56:10 | 2024-04-26T00:56:21 |
[{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}, {"name": "ground_truth", "struct": [{"name": "gt_parse", "struct": [{"name": "class", "dtype": "string"}]}]}]
|
{}
|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8bf0d6c7-26ea-4e8d-a4d9-a6e187d8d664
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-27T11:47:31 | 2024-09-27T11:47:32 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}]
|
{}
|
andrewsiah/MetaLearningPrefNp
|
default
| 0 | 32 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-12T02:33:25 | 2024-08-12T02:33:59 |
[{"name": "person_id", "dtype": "int64"}, {"name": "person_weight", "sequence": "float64"}, {"name": "prompt_1", "dtype": "string"}, {"name": "response_1_a", "dtype": "string"}, {"name": "response_1_b", "dtype": "string"}, {"name": "chosen_1", "dtype": "string"}, {"name": "prompt_response_1_a_embedding", "sequence": "float64"}, {"name": "prompt_response_1_b_embedding", "sequence": "float64"}, {"name": "prompt_2", "dtype": "string"}, {"name": "response_2_a", "dtype": "string"}, {"name": "response_2_b", "dtype": "string"}, {"name": "chosen_2", "dtype": "string"}, {"name": "prompt_response_2_a_embedding", "sequence": "float64"}, {"name": "prompt_response_2_b_embedding", "sequence": "float64"}, {"name": "prompt_3", "dtype": "string"}, {"name": "response_3_a", "dtype": "string"}, {"name": "response_3_b", "dtype": "string"}, {"name": "chosen_3", "dtype": "string"}, {"name": "prompt_response_3_a_embedding", "sequence": "float64"}, {"name": "prompt_response_3_b_embedding", "sequence": "float64"}, {"name": "prompt_4", "dtype": "string"}, {"name": "response_4_a", "dtype": "string"}, {"name": "response_4_b", "dtype": "string"}, {"name": "chosen_4", "dtype": "string"}, {"name": "prompt_response_4_a_embedding", "sequence": "float64"}, {"name": "prompt_response_4_b_embedding", "sequence": "float64"}, {"name": "prompt_5", "dtype": "string"}, {"name": "response_5_a", "dtype": "string"}, {"name": "response_5_b", "dtype": "string"}, {"name": "chosen_5", "dtype": "string"}, {"name": "prompt_response_5_a_embedding", "sequence": "float64"}, {"name": "prompt_response_5_b_embedding", "sequence": "float64"}, {"name": "prompt_6", "dtype": "string"}, {"name": "response_6_a", "dtype": "string"}, {"name": "response_6_b", "dtype": "string"}, {"name": "chosen_6", "dtype": "string"}, {"name": "prompt_response_6_a_embedding", "sequence": "float64"}, {"name": "prompt_response_6_b_embedding", "sequence": "float64"}, {"name": "prompt_7", "dtype": "string"}, {"name": "response_7_a", "dtype": "string"}, {"name": "response_7_b", "dtype": "string"}, {"name": "chosen_7", "dtype": "string"}, {"name": "prompt_response_7_a_embedding", "sequence": "float64"}, {"name": "prompt_response_7_b_embedding", "sequence": "float64"}, {"name": "prompt_8", "dtype": "string"}, {"name": "response_8_a", "dtype": "string"}, {"name": "response_8_b", "dtype": "string"}, {"name": "chosen_8", "dtype": "string"}, {"name": "prompt_response_8_a_embedding", "sequence": "float64"}, {"name": "prompt_response_8_b_embedding", "sequence": "float64"}, {"name": "prompt_9", "dtype": "string"}, {"name": "response_9_a", "dtype": "string"}, {"name": "response_9_b", "dtype": "string"}, {"name": "chosen_9", "dtype": "string"}, {"name": "prompt_response_9_a_embedding", "sequence": "float64"}, {"name": "prompt_response_9_b_embedding", "sequence": "float64"}, {"name": "prompt_10", "dtype": "string"}, {"name": "response_10_a", "dtype": "string"}, {"name": "response_10_b", "dtype": "string"}, {"name": "chosen_10", "dtype": "string"}, {"name": "prompt_response_10_a_embedding", "sequence": "float64"}, {"name": "prompt_response_10_b_embedding", "sequence": "float64"}, {"name": "prompt_11", "dtype": "string"}, {"name": "response_11_a", "dtype": "string"}, {"name": "response_11_b", "dtype": "string"}, {"name": "chosen_11", "dtype": "string"}, {"name": "prompt_response_11_a_embedding", "sequence": "float64"}, {"name": "prompt_response_11_b_embedding", "sequence": "float64"}, {"name": "prompt_12", "dtype": "string"}, {"name": "response_12_a", "dtype": "string"}, {"name": "response_12_b", "dtype": "string"}, {"name": "chosen_12", "dtype": "string"}, {"name": "prompt_response_12_a_embedding", "sequence": "float64"}, {"name": "prompt_response_12_b_embedding", "sequence": "float64"}, {"name": "prompt_13", "dtype": "string"}, {"name": "response_13_a", "dtype": "string"}, {"name": "response_13_b", "dtype": "string"}, {"name": "chosen_13", "dtype": "string"}, {"name": "prompt_response_13_a_embedding", "sequence": "float64"}, {"name": "prompt_response_13_b_embedding", "sequence": "float64"}, {"name": "prompt_14", "dtype": "string"}, {"name": "response_14_a", "dtype": "string"}, {"name": "response_14_b", "dtype": "string"}, {"name": "chosen_14", "dtype": "string"}, {"name": "prompt_response_14_a_embedding", "sequence": "float64"}, {"name": "prompt_response_14_b_embedding", "sequence": "float64"}, {"name": "prompt_15", "dtype": "string"}, {"name": "response_15_a", "dtype": "string"}, {"name": "response_15_b", "dtype": "string"}, {"name": "chosen_15", "dtype": "string"}, {"name": "prompt_response_15_a_embedding", "sequence": "float64"}, {"name": "prompt_response_15_b_embedding", "sequence": "float64"}, {"name": "prompt_16", "dtype": "string"}, {"name": "response_16_a", "dtype": "string"}, {"name": "response_16_b", "dtype": "string"}, {"name": "chosen_16", "dtype": "string"}, {"name": "prompt_response_16_a_embedding", "sequence": "float64"}, {"name": "prompt_response_16_b_embedding", "sequence": "float64"}, {"name": "prompt_17", "dtype": "string"}, {"name": "response_17_a", "dtype": "string"}, {"name": "response_17_b", "dtype": "string"}, {"name": "chosen_17", "dtype": "string"}, {"name": "prompt_response_17_a_embedding", "sequence": "float64"}, {"name": "prompt_response_17_b_embedding", "sequence": "float64"}, {"name": "prompt_18", "dtype": "string"}, {"name": "response_18_a", "dtype": "string"}, {"name": "response_18_b", "dtype": "string"}, {"name": "chosen_18", "dtype": "string"}, {"name": "prompt_response_18_a_embedding", "sequence": "float64"}, {"name": "prompt_response_18_b_embedding", "sequence": "float64"}, {"name": "prompt_19", "dtype": "string"}, {"name": "response_19_a", "dtype": "string"}, {"name": "response_19_b", "dtype": "string"}, {"name": "chosen_19", "dtype": "string"}, {"name": "prompt_response_19_a_embedding", "sequence": "float64"}, {"name": "prompt_response_19_b_embedding", "sequence": "float64"}, {"name": "prompt_20", "dtype": "string"}, {"name": "response_20_a", "dtype": "string"}, {"name": "response_20_b", "dtype": "string"}, {"name": "chosen_20", "dtype": "string"}, {"name": "prompt_response_20_a_embedding", "sequence": "float64"}, {"name": "prompt_response_20_b_embedding", "sequence": "float64"}, {"name": "prompt_21", "dtype": "string"}, {"name": "response_21_a", "dtype": "string"}, {"name": "response_21_b", "dtype": "string"}, {"name": "chosen_21", "dtype": "string"}, {"name": "prompt_response_21_a_embedding", "sequence": "float64"}, {"name": "prompt_response_21_b_embedding", "sequence": "float64"}, {"name": "prompt_22", "dtype": "string"}, {"name": "response_22_a", "dtype": "string"}, {"name": "response_22_b", "dtype": "string"}, {"name": "chosen_22", "dtype": "string"}, {"name": "prompt_response_22_a_embedding", "sequence": "float64"}, {"name": "prompt_response_22_b_embedding", "sequence": "float64"}, {"name": "prompt_23", "dtype": "string"}, {"name": "response_23_a", "dtype": "string"}, {"name": "response_23_b", "dtype": "string"}, {"name": "chosen_23", "dtype": "string"}, {"name": "prompt_response_23_a_embedding", "sequence": "float64"}, {"name": "prompt_response_23_b_embedding", "sequence": "float64"}, {"name": "prompt_24", "dtype": "string"}, {"name": "response_24_a", "dtype": "string"}, {"name": "response_24_b", "dtype": "string"}, {"name": "chosen_24", "dtype": "string"}, {"name": "prompt_response_24_a_embedding", "sequence": "float64"}, {"name": "prompt_response_24_b_embedding", "sequence": "float64"}, {"name": "prompt_25", "dtype": "string"}, {"name": "response_25_a", "dtype": "string"}, {"name": "response_25_b", "dtype": "string"}, {"name": "chosen_25", "dtype": "string"}, {"name": "prompt_response_25_a_embedding", "sequence": "float64"}, {"name": "prompt_response_25_b_embedding", "sequence": "float64"}, {"name": "prompt_26", "dtype": "string"}, {"name": "response_26_a", "dtype": "string"}, {"name": "response_26_b", "dtype": "string"}, {"name": "chosen_26", "dtype": "string"}, {"name": "prompt_response_26_a_embedding", "sequence": "float64"}, {"name": "prompt_response_26_b_embedding", "sequence": "float64"}, {"name": "prompt_27", "dtype": "string"}, {"name": "response_27_a", "dtype": "string"}, {"name": "response_27_b", "dtype": "string"}, {"name": "chosen_27", "dtype": "string"}, {"name": "prompt_response_27_a_embedding", "sequence": "float64"}, {"name": "prompt_response_27_b_embedding", "sequence": "float64"}, {"name": "prompt_28", "dtype": "string"}, {"name": "response_28_a", "dtype": "string"}, {"name": "response_28_b", "dtype": "string"}, {"name": "chosen_28", "dtype": "string"}, {"name": "prompt_response_28_a_embedding", "sequence": "float64"}, {"name": "prompt_response_28_b_embedding", "sequence": "float64"}, {"name": "prompt_29", "dtype": "string"}, {"name": "response_29_a", "dtype": "string"}, {"name": "response_29_b", "dtype": "string"}, {"name": "chosen_29", "dtype": "string"}, {"name": "prompt_response_29_a_embedding", "sequence": "float64"}, {"name": "prompt_response_29_b_embedding", "sequence": "float64"}, {"name": "prompt_30", "dtype": "string"}, {"name": "response_30_a", "dtype": "string"}, {"name": "response_30_b", "dtype": "string"}, {"name": "chosen_30", "dtype": "string"}, {"name": "prompt_response_30_a_embedding", "sequence": "float64"}, {"name": "prompt_response_30_b_embedding", "sequence": "float64"}, {"name": "prompt_31", "dtype": "string"}, {"name": "response_31_a", "dtype": "string"}, {"name": "response_31_b", "dtype": "string"}, {"name": "chosen_31", "dtype": "string"}, {"name": "prompt_response_31_a_embedding", "sequence": "float64"}, {"name": "prompt_response_31_b_embedding", "sequence": "float64"}, {"name": "prompt_32", "dtype": "string"}, {"name": "response_32_a", "dtype": "string"}, {"name": "response_32_b", "dtype": "string"}, {"name": "chosen_32", "dtype": "string"}, {"name": "prompt_response_32_a_embedding", "sequence": "float64"}, {"name": "prompt_response_32_b_embedding", "sequence": "float64"}, {"name": "prompt_33", "dtype": "string"}, {"name": "response_33_a", "dtype": "string"}, {"name": "response_33_b", "dtype": "string"}, {"name": "chosen_33", "dtype": "string"}, {"name": "prompt_response_33_a_embedding", "sequence": "float64"}, {"name": "prompt_response_33_b_embedding", "sequence": "float64"}, {"name": "prompt_34", "dtype": "string"}, {"name": "response_34_a", "dtype": "string"}, {"name": "response_34_b", "dtype": "string"}, {"name": "chosen_34", "dtype": "string"}, {"name": "prompt_response_34_a_embedding", "sequence": "float64"}, {"name": "prompt_response_34_b_embedding", "sequence": "float64"}, {"name": "prompt_35", "dtype": "string"}, {"name": "response_35_a", "dtype": "string"}, {"name": "response_35_b", "dtype": "string"}, {"name": "chosen_35", "dtype": "string"}, {"name": "prompt_response_35_a_embedding", "sequence": "float64"}, {"name": "prompt_response_35_b_embedding", "sequence": "float64"}, {"name": "prompt_36", "dtype": "string"}, {"name": "response_36_a", "dtype": "string"}, {"name": "response_36_b", "dtype": "string"}, {"name": "chosen_36", "dtype": "string"}, {"name": "prompt_response_36_a_embedding", "sequence": "float64"}, {"name": "prompt_response_36_b_embedding", "sequence": "float64"}, {"name": "prompt_37", "dtype": "string"}, {"name": "response_37_a", "dtype": "string"}, {"name": "response_37_b", "dtype": "string"}, {"name": "chosen_37", "dtype": "string"}, {"name": "prompt_response_37_a_embedding", "sequence": "float64"}, {"name": "prompt_response_37_b_embedding", "sequence": "float64"}, {"name": "prompt_38", "dtype": "string"}, {"name": "response_38_a", "dtype": "string"}, {"name": "response_38_b", "dtype": "string"}, {"name": "chosen_38", "dtype": "string"}, {"name": "prompt_response_38_a_embedding", "sequence": "float64"}, {"name": "prompt_response_38_b_embedding", "sequence": "float64"}, {"name": "prompt_39", "dtype": "string"}, {"name": "response_39_a", "dtype": "string"}, {"name": "response_39_b", "dtype": "string"}, {"name": "chosen_39", "dtype": "string"}, {"name": "prompt_response_39_a_embedding", "sequence": "float64"}, {"name": "prompt_response_39_b_embedding", "sequence": "float64"}, {"name": "prompt_40", "dtype": "string"}, {"name": "response_40_a", "dtype": "string"}, {"name": "response_40_b", "dtype": "string"}, {"name": "chosen_40", "dtype": "string"}, {"name": "prompt_response_40_a_embedding", "sequence": "float64"}, {"name": "prompt_response_40_b_embedding", "sequence": "float64"}, {"name": "prompt_41", "dtype": "string"}, {"name": "response_41_a", "dtype": "string"}, {"name": "response_41_b", "dtype": "string"}, {"name": "chosen_41", "dtype": "string"}, {"name": "prompt_response_41_a_embedding", "sequence": "float64"}, {"name": "prompt_response_41_b_embedding", "sequence": "float64"}, {"name": "prompt_42", "dtype": "string"}, {"name": "response_42_a", "dtype": "string"}, {"name": "response_42_b", "dtype": "string"}, {"name": "chosen_42", "dtype": "string"}, {"name": "prompt_response_42_a_embedding", "sequence": "float64"}, {"name": "prompt_response_42_b_embedding", "sequence": "float64"}, {"name": "prompt_43", "dtype": "string"}, {"name": "response_43_a", "dtype": "string"}, {"name": "response_43_b", "dtype": "string"}, {"name": "chosen_43", "dtype": "string"}, {"name": "prompt_response_43_a_embedding", "sequence": "float64"}, {"name": "prompt_response_43_b_embedding", "sequence": "float64"}, {"name": "prompt_44", "dtype": "string"}, {"name": "response_44_a", "dtype": "string"}, {"name": "response_44_b", "dtype": "string"}, {"name": "chosen_44", "dtype": "string"}, {"name": "prompt_response_44_a_embedding", "sequence": "float64"}, {"name": "prompt_response_44_b_embedding", "sequence": "float64"}, {"name": "prompt_45", "dtype": "string"}, {"name": "response_45_a", "dtype": "string"}, {"name": "response_45_b", "dtype": "string"}, {"name": "chosen_45", "dtype": "string"}, {"name": "prompt_response_45_a_embedding", "sequence": "float64"}, {"name": "prompt_response_45_b_embedding", "sequence": "float64"}, {"name": "prompt_46", "dtype": "string"}, {"name": "response_46_a", "dtype": "string"}, {"name": "response_46_b", "dtype": "string"}, {"name": "chosen_46", "dtype": "string"}, {"name": "prompt_response_46_a_embedding", "sequence": "float64"}, {"name": "prompt_response_46_b_embedding", "sequence": "float64"}, {"name": "prompt_47", "dtype": "string"}, {"name": "response_47_a", "dtype": "string"}, {"name": "response_47_b", "dtype": "string"}, {"name": "chosen_47", "dtype": "string"}, {"name": "prompt_response_47_a_embedding", "sequence": "float64"}, {"name": "prompt_response_47_b_embedding", "sequence": "float64"}, {"name": "prompt_48", "dtype": "string"}, {"name": "response_48_a", "dtype": "string"}, {"name": "response_48_b", "dtype": "string"}, {"name": "chosen_48", "dtype": "string"}, {"name": "prompt_response_48_a_embedding", "sequence": "float64"}, {"name": "prompt_response_48_b_embedding", "sequence": "float64"}, {"name": "prompt_49", "dtype": "string"}, {"name": "response_49_a", "dtype": "string"}, {"name": "response_49_b", "dtype": "string"}, {"name": "chosen_49", "dtype": "string"}, {"name": "prompt_response_49_a_embedding", "sequence": "float64"}, {"name": "prompt_response_49_b_embedding", "sequence": "float64"}, {"name": "prompt_50", "dtype": "string"}, {"name": "response_50_a", "dtype": "string"}, {"name": "response_50_b", "dtype": "string"}, {"name": "chosen_50", "dtype": "string"}, {"name": "prompt_response_50_a_embedding", "sequence": "float64"}, {"name": "prompt_response_50_b_embedding", "sequence": "float64"}, {"name": "user_embedding_avg_win_minus_lose_3", "sequence": "float64"}, {"name": "user_embedding_avg_winning_3", "sequence": "float64"}, {"name": "user_embedding_avg_losing_3", "sequence": "float64"}, {"name": "user_embedding_avg_win_minus_lose_5", "sequence": "float64"}, {"name": "user_embedding_avg_winning_5", "sequence": "float64"}, {"name": "user_embedding_avg_losing_5", "sequence": "float64"}, {"name": "user_embedding_avg_win_minus_lose_10", "sequence": "float64"}, {"name": "user_embedding_avg_winning_10", "sequence": "float64"}, {"name": "user_embedding_avg_losing_10", "sequence": "float64"}, {"name": "user_embedding_avg_win_minus_lose_30", "sequence": "float64"}, {"name": "user_embedding_avg_winning_30", "sequence": "float64"}, {"name": "user_embedding_avg_losing_30", "sequence": "float64"}, {"name": "user_embedding_avg_win_minus_lose_50", "sequence": "float64"}, {"name": "user_embedding_avg_winning_50", "sequence": "float64"}, {"name": "user_embedding_avg_losing_50", "sequence": "float64"}]
|
{}
|
bartoszmaj/nouns_three
|
default
| 0 | 31 |
["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-06-26T12:10:50 | 2023-06-26T14:33:05 |
[{"name": "nouns", "sequence": "string"}]
|
{}
|
Multimodal-Fatima/Caltech101_with_background_test_facebook_opt_1.3b_Visclues_ns_6084
|
default
| 0 | 32 |
["size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-01-30T16:07:07 | 2023-01-31T06:32:23 |
[{"name": "id", "dtype": "int64"}, {"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "scores", "sequence": "float64"}]
|
{}
|
yunfan-y/synthetic_dialogues
|
default
| 0 | 46 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-25T05:21:33 | 2024-11-25T06:57:36 |
[{"name": "dialogue", "dtype": "string"}]
|
{}
|
andy001sun/dog_dataset_BSGS
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-27T06:25:21 | 2024-12-27T06:25:47 |
[{"name": "input_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "edited_image", "dtype": "image"}]
|
{}
|
kerinin/hackernews-stories
|
default
| 2 | 103 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-06-04T23:34:15 | 2023-06-05T00:30:29 |
[{"name": "labels", "dtype": "float32"}, {"name": "Title", "dtype": "string"}, {"name": "Text", "dtype": "string"}]
|
{}
|
havens2/apitext_multiple
|
default
| 0 | 50 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-08-16T04:33:31 | 2023-08-16T05:04:26 |
[{"name": "text", "dtype": "string"}]
|
{}
|
yjernite/prof_report__andite-anything-v4.0__multi__24
|
default
| 0 | 120 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-06-04T23:54:05 | 2023-06-04T23:54:47 |
[{"name": "cluster_id", "dtype": "int64"}, {"name": "cluster_size", "dtype": "int64"}, {"name": "img_ids", "sequence": "int64"}, {"name": "img_cluster_scores", "sequence": "float64"}]
|
{}
|
Neuronovo/neuronovo-utc-persent-doc
|
default
| 0 | 34 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-27T10:20:54 | 2024-08-27T10:21:00 |
[{"name": "x", "dtype": "string"}, {"name": "y", "dtype": "int64"}, {"name": "label_id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "id", "dtype": "int64"}]
|
{}
|
oddadmix/arabic-triplets-large
|
default
| 0 | 62 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-10T00:47:06 | 2024-11-12T16:56:39 |
[{"name": "question", "dtype": "string"}, {"name": "positive", "dtype": "string"}, {"name": "negative", "dtype": "string"}, {"name": "evaluation", "dtype": "int64"}]
|
{}
|
FanChen0116/19100_chat_128x_slot_pvi
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-07-20T01:36:16 | 2024-01-10T00:03:58 |
[{"name": "id", "dtype": "int64"}, {"name": "tokens", "sequence": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "O", "1": "I-time", "2": "B-date", "3": "B-last_name", "4": "B-people", "5": "I-date", "6": "I-people", "7": "I-last_name", "8": "I-first_name", "9": "B-first_name", "10": "B-time"}}}}, {"name": "request_slot", "sequence": "string"}]
|
{}
|
missvector/nli-questions
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-12T12:30:34 | 2024-10-15T12:12:16 |
[{"name": "statement", "dtype": "string"}, {"name": "contradicting statement", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "model", "dtype": "string"}, {"name": "label", "dtype": "string"}]
|
{}
|
afrideva/stacks-mainnet-contracts
|
default
| 0 | 44 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-14T03:48:20 | 2024-10-14T05:00:56 |
[{"name": "contract_name", "dtype": "string"}, {"name": "code_body", "dtype": "string"}, {"name": "txid", "dtype": "string"}, {"name": "block_height", "dtype": "int32"}, {"name": "status", "dtype": "string"}]
|
{}
|
rakshya34/filtered_voice_english_v1.28_tag_5k
|
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
| 2024-05-27T15:13:25 | 2024-05-27T15:13:26 |
[{"name": "path", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "normalized_text", "dtype": "string"}, {"name": "utterance_pitch_mean", "dtype": "float32"}, {"name": "utterance_pitch_std", "dtype": "float32"}, {"name": "snr", "dtype": "float64"}, {"name": "c50", "dtype": "float64"}, {"name": "speaking_rate", "dtype": "string"}, {"name": "phonemes", "dtype": "string"}, {"name": "noise", "dtype": "string"}, {"name": "reverberation", "dtype": "string"}, {"name": "speech_monotony", "dtype": "string"}, {"name": "text_description", "dtype": "string"}]
|
{}
|
FlagEval/coco_val2014_sampled
|
default
| 0 | 49 |
["license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"apache-2.0"
| 2024-11-21T11:02:03 | 2024-11-21T11:36:12 |
[{"name": "image", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "lan", "dtype": "string"}]
|
{}
|
KeraCare/Kallaama-Wolof-large-v2-prepared
|
default
| 0 | 81 |
["size_categories:10K<n<100K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-02T19:51:07 | 2024-09-02T19:54:52 |
[{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "input_length", "dtype": "float64"}, {"name": "labels", "sequence": "int64"}]
|
{}
|
GitBag/ultrainteract_pair_ckp_rw
|
default
| 0 | 36 |
["size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-17T14:18:45 | 2024-09-17T14:18:57 |
[{"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "reject", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "chosen_reward", "dtype": "float64"}, {"name": "reject_reward", "dtype": "float64"}]
|
{}
|
unography/movie-scenes-small-cap
|
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
| 2024-05-04T14:04:25 | 2024-05-04T14:04:30 |
[{"name": "image", "dtype": "image"}, {"name": "long_caption", "dtype": "string"}]
|
{}
|
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