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BASF-AI/PubChemWikiParagraphsPC | default | 0 | 34 | ["task_categories:text-classification", "language:en", "license:cc-by-nc-sa-4.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "chemistry", "pubchem", "wikipedia", "chemteb"] | ["en"] | "cc-by-nc-sa-4.0" | 2024-08-10T07:56:38 | 2024-10-16T23:41:10 | [{"name": "sent1", "dtype": "string"}, {"name": "sent2", "dtype": "string"}, {"name": "labels", "dtype": "int64"}] | {} |
Kukedlc/Spanish_o1_CoT_8k | default | 0 | 28 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-29T17:38:11 | 2024-12-29T17:38:26 | [{"name": "pregunta", "dtype": "string"}, {"name": "respuesta", "dtype": "string"}] | {} |
vietnqw/eval-vi-ner-VinAI-COVID_19_NER | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-25T08:43:31 | 2024-06-27T14:39:46 | [{"name": "text", "dtype": "string"}, {"name": "entity_type", "dtype": "string"}, {"name": "label", "dtype": "string"}] | {} |
jlbaker361/flickr_humans_dim_128_10k_vangogh | default | 0 | 29 | ["size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-07-11T01:05:38 | 2023-07-11T01:05:47 | [{"name": "image", "dtype": "image"}, {"name": "split", "dtype": "string"}, {"name": "style", "dtype": "string"}] | {} |
drnko/receipt_donut_data_aug24 | default | 2 | 160 | ["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-17T13:34:39 | 2024-09-17T14:05:45 | [{"name": "image", "dtype": "image"}, {"name": "ground_truth", "dtype": "string"}] | {} |
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/a0e1beb1 | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-30T02:59:58 | 2023-05-30T02:59:59 | [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
hojaeface/tuning_data | default | 0 | 36 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-03T06:00:46 | 2024-07-08T07:33:21 | [{"name": "index", "dtype": "int64"}, {"name": "user_id", "dtype": "string"}, {"name": "abuse_message", "dtype": "string"}, {"name": "result", "dtype": "string"}] | {} |
MLNTeam-Unical/NFT-70M_transactions | default | 3 | 132 | ["task_categories:time-series-forecasting", "task_categories:text-classification", "task_categories:feature-extraction", "task_categories:text-generation", "task_categories:zero-shot-classification", "task_categories:text2text-generation", "task_categories:sentence-similarity", "task_categories:image-classification", "task_categories:image-to-text", "task_categories:text-to-image", "task_categories:text-retrieval", "language:en", "license:cc-by-nc-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "doi:10.57967/hf/1179", "region:us", "Non-fungible Tokens", "Crypto", "Web3", "Art", "Multimodal Learning"] | ["en"] | "cc-by-nc-4.0" | 2023-09-26T15:48:21 | 2023-10-03T07:15:49 | [{"name": "num_sales", "dtype": "int64"}, {"name": "fees_seller", "dtype": "float64"}, {"name": "fees_opensea", "dtype": "float64"}, {"name": "fees_seller_usd", "dtype": "float64"}, {"name": "fees_opensea_usd", "dtype": "float64"}, {"name": "tx_timestamp", "dtype": "string"}, {"name": "price", "dtype": "float64"}, {"name": "gain", "dtype": "float64"}, {"name": "usd_price", "dtype": "float64"}, {"name": "usd_gain", "dtype": "float64"}, {"name": "token", "dtype": "string"}, {"name": "to_eth", "dtype": "float64"}, {"name": "to_usd", "dtype": "float64"}, {"name": "created_date", "dtype": "string"}, {"name": "chain", "dtype": "string"}, {"name": "token_type", "dtype": "string"}, {"name": "asset_contract_type", "dtype": "string"}, {"name": "asset_type", "dtype": "string"}, {"name": "payout_collection_address", "dtype": "int64"}, {"name": "from_account", "dtype": "int64"}, {"name": "to_account", "dtype": "int64"}, {"name": "seller_account", "dtype": "int64"}, {"name": "winner_account", "dtype": "int64"}, {"name": "contract_address", "dtype": "int64"}, {"name": "nft_image", "dtype": "int64"}, {"name": "collection_image", "dtype": "int64"}, {"name": "token_id", "dtype": "int64"}, {"name": "nft_name", "dtype": "int64"}, {"name": "nft_description", "dtype": "int64"}, {"name": "collection_name", "dtype": "int64"}, {"name": "collection_description", "dtype": "int64"}] | {} |
tanvirsrbd1/nov1_annotated_segmented | default | 0 | 31 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-11-11T09:08:05 | 2023-11-11T09:08:12 | [{"name": "html", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
joey234/mmlu-virology-neg-prepend-fix | default | 1 | 37 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-18T12:10:39 | 2023-08-21T07:42:28 | [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "negate_openai_prompt", "struct": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "neg_question", "dtype": "string"}, {"name": "fewshot_context", "dtype": "string"}, {"name": "ori_prompt", "dtype": "string"}] | {} |
emirhan70/deneme_data | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-05T18:39:14 | 2025-01-05T18:51:31 | [{"name": "prompt", "dtype": "string"}] | {} |
hieule/news_corpus_v2 | default | 0 | 69 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2022-12-07T04:59:58 | 2022-12-07T07:27:40 | [{"name": "source", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "sapo", "dtype": "string"}, {"name": "cates", "sequence": "string"}, {"name": "publish", "dtype": "timestamp[us]"}, {"name": "text_content", "dtype": "string"}] | {} |
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_2 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-26T04:53:30 | 2024-03-26T04:53:32 | [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}] | {} |
MarketLLM/begginer_investor_result | default | 0 | 47 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-29T16:29:26 | 2024-10-31T04:49:27 | [{"name": "sampled_text", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
YurtsAI/needle-in-a-haystack-biographies-v0 | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-06T08:48:55 | 2024-08-06T08:49:47 | [{"name": "context_length", "dtype": "int64"}, {"name": "depth_percent", "dtype": "int64"}, {"name": "context", "dtype": "string"}, {"name": "needle", "struct": [{"name": "bio", "dtype": "string"}, {"name": "bio_token_len", "dtype": "int64"}, {"name": "json", "struct": [{"name": "date_of_birth", "struct": [{"name": "day", "dtype": "int64"}, {"name": "month", "dtype": "int64"}, {"name": "year", "dtype": "int64"}]}, {"name": "date_of_death", "struct": [{"name": "day", "dtype": "int64"}, {"name": "month", "dtype": "int64"}, {"name": "year", "dtype": "int64"}]}, {"name": "nationality", "dtype": "string"}, {"name": "politician", "dtype": "bool"}, {"name": "sportsperson", "dtype": "bool"}]}, {"name": "name", "dtype": "string"}]}] | {} |
FareedKhan/for_synthtic_testing111 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-28T14:28:32 | 2024-09-28T14:28:34 | [{"name": "anchor", "dtype": "string"}, {"name": "positive", "dtype": "string"}] | {} |
mohammadhia/diffusers_sprint_cartoonify_yourself | 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 | 2023-04-27T22:16:47 | 2023-04-27T22:16:51 | [{"name": "input_image", "dtype": "image"}, {"name": "edit_prompt", "dtype": "string"}, {"name": "edited_image", "dtype": "image"}] | {} |
daviddiaz005/DataIADAVID | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-19T21:55:10 | 2024-11-19T23:19:20 | [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "node_id", "dtype": "string"}, {"name": "number", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "user", "struct": [{"name": "avatar_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "followers_url", "dtype": "string"}, {"name": "following_url", "dtype": "string"}, {"name": "gists_url", "dtype": "string"}, {"name": "gravatar_id", "dtype": "string"}, {"name": "html_url", 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"events_url", "dtype": "string"}, {"name": "followers_url", "dtype": "string"}, {"name": "following_url", "dtype": "string"}, {"name": "gists_url", "dtype": "string"}, {"name": "gravatar_id", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "float64"}, {"name": "login", "dtype": "string"}, {"name": "node_id", "dtype": "string"}, {"name": "organizations_url", "dtype": "string"}, {"name": "received_events_url", "dtype": "string"}, {"name": "repos_url", "dtype": "string"}, {"name": "site_admin", "dtype": "bool"}, {"name": "starred_url", "dtype": "string"}, {"name": "subscriptions_url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user_view_type", "dtype": "string"}]}, {"name": "assignees", "list": [{"name": "avatar_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "followers_url", "dtype": "string"}, {"name": "following_url", "dtype": "string"}, {"name": "gists_url", "dtype": "string"}, {"name": "gravatar_id", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "login", "dtype": "string"}, {"name": "node_id", "dtype": "string"}, {"name": "organizations_url", "dtype": "string"}, {"name": "received_events_url", "dtype": "string"}, {"name": "repos_url", "dtype": "string"}, {"name": "site_admin", "dtype": "bool"}, {"name": "starred_url", "dtype": "string"}, {"name": "subscriptions_url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user_view_type", "dtype": "string"}]}, {"name": "milestone", "struct": [{"name": "closed_at", "dtype": "null"}, {"name": "closed_issues", "dtype": "float64"}, {"name": "created_at", "dtype": "timestamp[us]"}, {"name": "creator", "struct": [{"name": "avatar_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "followers_url", "dtype": "string"}, {"name": "following_url", "dtype": "string"}, {"name": "gists_url", "dtype": "string"}, {"name": "gravatar_id", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "float64"}, {"name": "login", "dtype": "string"}, {"name": "node_id", "dtype": "string"}, {"name": "organizations_url", "dtype": "string"}, {"name": "received_events_url", "dtype": "string"}, {"name": "repos_url", "dtype": "string"}, {"name": "site_admin", "dtype": "bool"}, {"name": "starred_url", "dtype": "string"}, {"name": "subscriptions_url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user_view_type", "dtype": "string"}]}, {"name": "description", "dtype": "string"}, {"name": "due_on", "dtype": "null"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "float64"}, {"name": "labels_url", "dtype": "string"}, {"name": "node_id", "dtype": "string"}, {"name": "number", "dtype": "float64"}, {"name": "open_issues", "dtype": "float64"}, {"name": "state", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "updated_at", "dtype": "timestamp[us]"}, {"name": "url", "dtype": "string"}]}, {"name": "comments", "dtype": "int64"}, {"name": "created_at", "dtype": "timestamp[s]"}, {"name": "updated_at", "dtype": "timestamp[s]"}, {"name": "closed_at", "dtype": "timestamp[s]"}, {"name": "author_association", "dtype": "string"}, {"name": "active_lock_reason", "dtype": "null"}, {"name": "body", "dtype": "string"}, {"name": "closed_by", "struct": [{"name": "avatar_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "followers_url", "dtype": "string"}, {"name": "following_url", "dtype": "string"}, {"name": "gists_url", "dtype": "string"}, {"name": "gravatar_id", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "float64"}, {"name": "login", "dtype": "string"}, {"name": "node_id", "dtype": "string"}, {"name": "organizations_url", "dtype": "string"}, {"name": "received_events_url", "dtype": "string"}, {"name": "repos_url", "dtype": "string"}, {"name": "site_admin", "dtype": "bool"}, {"name": "starred_url", "dtype": "string"}, {"name": "subscriptions_url", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user_view_type", "dtype": "string"}]}, {"name": "reactions", "struct": [{"name": "+1", "dtype": "int64"}, {"name": "-1", "dtype": "int64"}, {"name": "confused", "dtype": "int64"}, {"name": "eyes", "dtype": "int64"}, {"name": "heart", "dtype": "int64"}, {"name": "hooray", "dtype": "int64"}, {"name": "laugh", "dtype": "int64"}, {"name": "rocket", "dtype": "int64"}, {"name": "total_count", "dtype": "int64"}, {"name": "url", "dtype": "string"}]}, {"name": "timeline_url", "dtype": "string"}, {"name": "performed_via_github_app", "dtype": "null"}, {"name": "state_reason", "dtype": "string"}, {"name": "draft", "dtype": "bool"}, {"name": "pull_request", "struct": [{"name": "diff_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "merged_at", "dtype": "timestamp[us]"}, {"name": "patch_url", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "is_pull_request", "dtype": "bool"}, {"name": "time_to_close", "dtype": "float64"}] | {} |
qingy2024/Lyrix-65k | default | 0 | 29 | ["language:en", "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["en"] | null | 2025-01-01T02:00:53 | 2025-01-03T16:17:28 | [{"name": "title", "dtype": "string"}, {"name": "tag", "dtype": "string"}, {"name": "artist", "dtype": "string"}, {"name": "year", "dtype": "int64"}, {"name": "lyrics", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "language", "dtype": "string"}, {"name": "prompt", "dtype": "string"}] | {} |
ziq/ingredient_prompt_to_sugar_level | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-06-10T09:10:21 | 2023-06-12T05:54:45 | [{"name": "src", "dtype": "string"}, {"name": "ingredients", "dtype": "string"}, {"name": "sugar", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}] | {} |
arrmlet/reddit_test_df_chunk_0 | default | 0 | 33 | ["size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-14T15:18:40 | 2024-06-14T15:18:50 | [{"name": "uri", "dtype": "string"}, {"name": "datetime", "dtype": "string"}, {"name": "timeBucketId", "dtype": "int64"}, {"name": "source", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "content", "dtype": "binary"}, {"name": "contentSizeBytes", "dtype": "int64"}] | {} |
robinysh/soda_tts | default | 3 | 111 | ["size_categories:100K<n<1M", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-17T22:32:15 | 2024-09-26T07:14:42 | [{"name": "input_audio", "dtype": "audio"}, {"name": "original_index", "dtype": "int64"}, {"name": "dialogue_turn", "dtype": "int64"}, {"name": "input_tts_wer", "dtype": "float64"}, {"name": "output_tts_wer", "dtype": "float64"}, {"name": "input_tokens", "dtype": "string"}, {"name": "output_tokens", "dtype": "string"}, {"name": "input_transcript", "dtype": "string"}, {"name": "output_transcript", "dtype": "string"}, {"name": "output_audio", "dtype": "audio"}] | {} |
appvoid/simple-prompt-oasst | default | 0 | 34 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-12-23T01:42:11 | 2023-12-23T01:43:39 | [{"name": "text", "dtype": "string"}] | {} |
ericsun153/arc_confusing_options_contamination_test | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-22T23:35:10 | 2024-05-23T00:59:46 | [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "answerKey", "dtype": "string"}] | {} |
r1v3r/validated_12_18 | default | 0 | 104 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-18T13:27:16 | 2024-12-19T13:00:32 | [{"name": "repo", "dtype": "string"}, {"name": "pull_number", "dtype": "int64"}, {"name": "instance_id", "dtype": "string"}, {"name": "issue_numbers", "sequence": "string"}, {"name": "base_commit", "dtype": "string"}, {"name": "patch", "dtype": "string"}, {"name": "test_patch", "dtype": "string"}, {"name": "problem_statement", "dtype": "string"}, {"name": "hints_text", "dtype": "string"}, {"name": "created_at", "dtype": "timestamp[ns, tz=UTC]"}, {"name": "version", "dtype": "string"}, {"name": "environment_setup_commit", "dtype": "string"}, {"name": "FAIL_TO_PASS", "sequence": "string"}, {"name": "PASS_TO_PASS", "sequence": "string"}, {"name": "FAIL_TO_FAIL", "sequence": "string"}, {"name": "PASS_TO_FAIL", "sequence": "string"}, {"name": "r_number", "dtype": "int64"}] | {} |
mismayil/tr_wikipedia | default | 0 | 49 | ["license:mit", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-05-15T23:14:49 | 2024-05-15T23:28:49 | [{"name": "id", "dtype": "int64"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
prakash-sumit/ultravox-test2 | default | 0 | 46 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-26T13:19:53 | 2024-12-26T13:20:03 | [{"name": "client_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "audio", "struct": [{"name": "array", "sequence": "float64"}, {"name": "path", "dtype": "null"}, {"name": "sampling_rate", "dtype": "int64"}]}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "int64"}, {"name": "down_votes", "dtype": "int64"}, {"name": "age", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "accent", "dtype": "string"}, {"name": "locale", "dtype": "string"}, {"name": "segment", "dtype": "string"}, {"name": "variant", "dtype": "string"}, {"name": "continuation", "dtype": "string"}] | {} |
mnoukhov/summarize_from_feedback_tldr3_unlabelled_vllm_pythia410m-dpo-tldr-step873 | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-12T15:06:17 | 2024-05-12T15:06:19 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "pred_chosen", "dtype": "float32"}, {"name": "pred_rejected", "dtype": "float32"}] | {} |
Lots-of-LoRAs/task079_conala_concat_strings | plain_text | 0 | 42 | ["task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2204.07705", "arxiv:2407.00066", "region:us"] | ["en"] | ["apache-2.0"] | 2024-07-02T19:45:34 | 2024-07-16T13:49:07 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "string"}] | {} |
biswa921/tewiki-latest-pages-articles-raw | default | 0 | 34 | ["language:te", "license:apache-2.0", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | ["te"] | "apache-2.0" | 2024-03-23T10:34:48 | 2024-04-19T04:13:17 | [{"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
Windy/tmp_output_apc_t1_noshort | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-01T16:56:24 | 2024-07-01T16:56:26 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "all_generated_responses", "sequence": "string"}, {"name": "all_rm_scores", "sequence": "null"}] | {} |
YingxuHe/xview_captions_v0 | default | 0 | 0 | ["region:us"] | null | null | 2023-05-26T07:55:44 | 2023-05-27T13:05:35 | [{"name": "image", "dtype": "image"}, {"name": "text", "sequence": "string"}] | {} |
Marcus2112/minipile_reproduction | default | 0 | 47 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-04T18:00:21 | 2024-12-05T23:17:25 | [{"name": "text", "dtype": "string"}, {"name": "pile_idx", "dtype": "int64"}] | {} |
Slim205/wiki_data_full_filtered | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-28T11:35:30 | 2024-08-28T11:40:03 | [{"name": "title", "dtype": "string"}, {"name": "passage", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "link", "dtype": "string"}] | {} |
LongDaHo/filter-platypus | default | 0 | 35 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-21T14:21:22 | 2024-02-21T15:00:39 | [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
andrewsiah/PersonaPromptPersonalLLM_773 | default | 0 | 39 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-15T02:34:18 | 2024-11-15T02:34:20 | [{"name": "personaid_773_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_773_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": 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results-sd-v1-5-sd-v2-1-if-v1-0-karlo/80f252f2 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-05-23T23:28:53 | 2023-05-23T23:28:55 | [{"name": "result", "dtype": "string"}, {"name": "id", "dtype": "int64"}] | {} |
ossaili/khammash_art_50 | default | 0 | 30 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-09-24T21:16:48 | 2023-09-24T21:16:58 | [{"name": "image", "dtype": "image"}] | {} |
wassname/truthful_qa_preferences | default | 0 | 39 | ["task_categories:text-classification", "task_categories:text-generation", "license:mit", "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us", "RLHF", "preferences", "DPO"] | null | "mit" | 2024-08-24T06:38:17 | 2024-09-19T08:07:13 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}] | {} |
Qilex/tiny_stories_aug_full_ninth_pass | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-12T16:34:51 | 2024-09-12T16:34:54 | [{"name": "text", "dtype": "string"}] | {} |
transcendingvictor/delphi-llama2-3.2m-validation-logprobs | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-02-13T19:29:05 | 2024-02-17T17:17:02 | [{"name": "logprobs", "sequence": "float64"}] | {} |
jester6136/osint | default | 1 | 39 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-22T09:15:44 | 2024-10-22T09:15:59 | [{"name": "id", "dtype": "string"}, {"name": "value", "dtype": "string"}] | {} |
joeyiexec/data3 | default | 0 | 33 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-23T13:54:52 | 2024-06-24T12:54:10 | [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
Isamu136/big-animal-dataset-high-res-embedding | default | 0 | 172 | ["size_categories:10K<n<100K", "format:parquet", "modality:image", "modality:text", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-02-28T04:11:45 | 2023-03-12T15:55:07 | [{"name": "image", "dtype": "image"}, {"name": "caption", "dtype": "string"}, {"name": "l14_embeddings", "sequence": "float32"}, {"name": "moco_vitb_imagenet_embeddings", "sequence": "float32"}, {"name": "moco_vitb_imagenet_embeddings_without_last_layer", "sequence": "float32"}, {"name": "ibot_b_16_embedding", "sequence": "float32"}, {"name": "ibot_b_16_last_self_attn", "sequence": "float32"}, {"name": "midas_dpt_swin2_large_384", "dtype": "image"}, {"name": "subject_noun", "dtype": "string"}] | {} |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_stepwise_dpo_chunk_0 | default | 0 | 37 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-18T05:30:49 | 2024-11-18T05:30:51 | [{"name": "prompt", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "justification", "dtype": "string"}] | {} |
zake7749/chinese-sft-stem-zh-hans | default | 0 | 35 | ["task_categories:text-generation", "task_categories:question-answering", "language:zh", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | ["zh"] | null | 2024-09-06T11:45:38 | 2024-09-07T12:27:21 | [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}] | {} |
scysrg/your_dataset_name | default | 0 | 34 | ["format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-07-14T05:33:07 | 2023-07-14T05:33:14 | [] | {} |
mlfoundations-dev/oh_v3-1_only_evol_instruct_140k | default | 0 | 38 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-22T05:31:27 | 2024-11-22T05:31:36 | [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source_label_exact", "sequence": "string"}] | {} |
HoangHa/wiki_medical_terms_inout | default | 0 | 37 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-25T16:37:48 | 2024-01-25T16:37:52 | [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}] | {} |
gagan3012/dolphin-retrival-MKQA-QA-corpus | default | 0 | 30 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-10T22:16:58 | 2024-03-10T22:17:00 | [{"name": "_id", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
reciprocate/dpo_ultra-capybara_filtered-best | default | 0 | 31 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-03-14T12:37:07 | 2024-03-14T13:18:53 | [{"name": "prompt", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "source", "dtype": "string"}] | {} |
mstz/cifar10OD | plain_text | 0 | 51 | ["task_categories:image-classification", "annotations_creators:crowdsourced", "language_creators:found", "multilinguality:monolingual", "source_datasets:extended|other-80-Million-Tiny-Images", "language:en", "license:unknown", "size_categories:10K<n<100K", "region:us"] | ["en"] | ["unknown"] | 2024-04-03T14:30:59 | 2024-04-03T16:05:41 | [{"name": "img", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "airplane", "1": "automobile", "2": "bird", "3": "cat", "4": "deer", "5": "dog", "6": "frog", "7": "horse", "8": "ship", "9": "truck"}}}}] | {} |
YYYYYYibo/ultrafeedback_binarized_doff_no_golden_train_part_3 | default | 0 | 30 | ["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-08T10:14:31 | 2024-05-08T10:14:35 | [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "score_chosen", "dtype": "float64"}, {"name": "score_rejected", "dtype": "float64"}, {"name": "reference_response", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}] | {} |
mtobbias/data-pizza-test | default | 0 | 31 | ["task_categories:text-generation", "language:pt", "license:apache-2.0", "size_categories:n<1K", "region:us"] | ["pt"] | "apache-2.0" | 2024-08-22T14:22:15 | 2024-08-22T15:03:44 | [{"name": "text", "dtype": "string"}] | {} |
llama-duo/gemma7b-it-1.1-summarize-locallm-response | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-09T09:15:36 | 2024-06-10T02:43:12 | [{"name": "instructions", "dtype": "string"}, {"name": "target_responses", "dtype": "string"}, {"name": "candidate_responses", "dtype": "string"}, {"name": "model_id", "dtype": "string"}, {"name": "model_sha", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_0989bc5f-d13c-40d9-80d9-1b346f4eae3c | default | 0 | 34 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-30T10:46:06 | 2024-09-30T10:46:07 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
SyedAunZaidi/cv-corpus-10.0-ur | default | 0 | 29 | ["size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-19T10:09:20 | 2024-01-19T10:10:59 | [{"name": "audio", "dtype": "audio"}, {"name": "client_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "sentence", "dtype": "string"}, {"name": "up_votes", "dtype": "int64"}, {"name": "down_votes", "dtype": "int64"}, {"name": "age", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "accents", "dtype": "string"}, {"name": "locale", "dtype": "string"}, {"name": "segment", "dtype": "float64"}, {"name": "config", "dtype": "string"}] | {} |
jtatman/master_textbook_lines | default | 0 | 31 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-28T16:41:57 | 2024-06-28T16:53:48 | [{"name": "text", "dtype": "string"}] | {} |
AdapterOcean/biology_dataset_standardized_cluster_0 | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-22T18:46:38 | 2023-10-23T14:44:40 | [{"name": "text", "dtype": "string"}, {"name": "conversation_id", "dtype": "int64"}, {"name": "embedding", "sequence": "float64"}, {"name": "cluster", "dtype": "int64"}] | {} |
Lots-of-LoRAs/task369_synthetic_remove_odds | plain_text | 0 | 26 | ["task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2204.07705", "arxiv:2407.00066", "region:us"] | ["en"] | ["apache-2.0"] | 2025-01-03T18:28:20 | 2025-01-03T18:28:23 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "string"}] | {} |
fathyshalab/reklamation24_full | default | 0 | 35 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-03-20T18:49:29 | 2023-04-20T12:36:15 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_name", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "domain", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_818a7846-c8e2-439d-878c-b10de1af6d3d | default | 0 | 39 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-16T12:58:17 | 2024-10-16T12:58:18 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
tyzhu/squad_qa_title_v5_full_first_permute | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-11-27T14:51:31 | 2023-11-27T15:08:38 | [{"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"}]}, {"name": "answer", "dtype": "string"}, {"name": "context_id", "dtype": "string"}, {"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}] | {} |
ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_5 | default | 0 | 37 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-26T04:15:39 | 2024-11-26T04:15:41 | [{"name": "prompt", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "justification", "dtype": "string"}] | {} |
Cheremy/salesforce_cqadupstack_augmented_chunk | default | 0 | 32 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-03T16:00:00 | 2024-08-03T16:00:15 | [{"name": "id", "dtype": "string"}, {"name": "text", "sequence": "float16"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
realding/11bubbletest | default | 0 | 37 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-29T08:37:46 | 2024-10-29T09:36:25 | [{"name": "image", "dtype": "image"}, {"name": "conditioning_image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
Jing24/seperate_all7 | default | 0 | 29 | ["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-08-18T21:42:26 | 2023-08-18T21:42:28 | [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int32"}, {"name": "text", "sequence": "string"}]}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3d401ac3-25a9-4448-a925-b5a0adf792d5 | default | 0 | 40 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-11T08:36:17 | 2024-11-11T08:36:18 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
aryananand19/mhecaption | 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 | 2024-05-07T05:47:20 | 2024-05-07T06:21:50 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
sordonia/ultrachat-templated-ia-flat | default | 0 | 36 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-01-03T20:05:55 | 2024-01-03T20:06:17 | [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "task_source", "dtype": "string"}, {"name": "task_name", "dtype": "string"}, {"name": "split", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_1907d33e-2e39-4a71-ab00-0e427cf67404 | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-20T12:04:42 | 2024-09-20T12:04:43 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
adamzzzz/binance-daily-klines-20240721 | default | 0 | 30 | ["license:mit", "size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-07-21T23:47:41 | 2024-07-22T00:07:59 | [{"name": "open_timestamp", "dtype": "timestamp[ns]"}, {"name": "open_price", "dtype": "float64"}, {"name": "high_price", "dtype": "float64"}, {"name": "low_price", "dtype": "float64"}, {"name": "close_price", "dtype": "float64"}, {"name": "volume", "dtype": "float64"}, {"name": "close_timestamp", "dtype": "timestamp[ns]"}, {"name": "quote_asset_volume", "dtype": "float64"}, {"name": "number_of_trade", "dtype": "int64"}, {"name": "tbbav", "dtype": "float64"}, {"name": "tbqav", "dtype": "float64"}, {"name": "ignore", "dtype": "string"}, {"name": "symbol", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "interval", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
atharva2721/qwen-refined-code-2000 | default | 0 | 75 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-15T19:05:47 | 2025-01-18T07:02:09 | [{"name": "code", "dtype": "string"}, {"name": "refined code", "dtype": "string"}, {"name": "summary", "dtype": "string"}] | {} |
ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_dataset | 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 | 2024-04-25T22:18:04 | 2024-04-26T05:10:14 | [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "score_chosen", "dtype": "float64"}, {"name": "score_rejected", "dtype": "float64"}, {"name": "reference_response", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "is_better", "dtype": "bool"}] | {} |
mayank07082001/databus | default | 0 | 30 | ["region:us"] | null | null | 2024-03-04T19:18:00 | 2024-03-06T05:58:53 | [{"name": "system_message", "dtype": "string"}, {"name": "user_message", "dtype": "string"}, {"name": "model_response", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}] | {} |
Nadav/pixel_glue_rte_low_noise | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-06-15T15:13:47 | 2023-06-15T15:15:21 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}] | {} |
KathirKs/CC-MAIN-2014-10_3001_4000_shard_3 | default | 0 | 33 | ["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-07-22T19:10:53 | 2024-07-23T18:08:25 | [{"name": "text", "sequence": "string"}, {"name": "uuid", "dtype": "string"}] | {} |
joey234/mmlu-professional_law-rule-neg-prepend | default | 0 | 34 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-04-29T02:40:05 | 2023-04-29T02:40:10 | [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}] | {} |
crowdland/AIIE | default | 0 | 38 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-08T09:09:54 | 2024-11-08T09:09:58 | [{"name": "Vision", "dtype": "string"}, {"name": "Core Values", "dtype": "string"}, {"name": "Description", "dtype": "string"}, {"name": "Table", "dtype": "string"}, {"name": "ID", "dtype": "string"}, {"name": "Impact Description", "dtype": "string"}, {"name": "Mission", "dtype": "string"}, {"name": "Content", "dtype": "string"}, {"name": "Creation Date", "dtype": "string"}, {"name": "Last Update", "dtype": "string"}, {"name": "Tabla", "dtype": "string"}, {"name": "Impact on brand", "dtype": "string"}, {"name": "Type", "dtype": "string"}, {"name": "Name", "dtype": "string"}, {"name": "Relationship to Other Levels", "dtype": "string"}, {"name": "Key Impact", "dtype": "string"}, {"name": "Program Delivery", "dtype": "string"}, {"name": "Academic Level", "dtype": "string"}, {"name": "Fields of Action ID", "dtype": "string"}, {"name": "Impact of Values", "dtype": "string"}, {"name": "AcademicLevel", "dtype": "string"}, {"name": "Target Audience", "dtype": "string"}, {"name": "Core Values ID", "dtype": "string"}] | {} |
liuyanchen1015/MULTI_VALUE_wnli_plural_postposed | default | 0 | 35 | ["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-04-03T19:47:35 | 2023-04-03T19:47:39 | [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}] | {} |
vngrs-ai/vngrs-web-corpus | default | 5 | 500 | ["language:tr", "license:cc-by-nc-sa-4.0", "size_categories:10M<n<100M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2403.01308", "arxiv:2401.14373", "doi:10.57967/hf/1921", "region:us"] | ["tr"] | "cc-by-nc-sa-4.0" | 2024-03-12T11:53:55 | 2024-04-01T14:39:39 | [{"name": "text", "dtype": "string"}, {"name": "corpus", "dtype": "string"}, {"name": "original_id", "dtype": "int64"}] | {} |
if001/mathematical_logic_dataset | default | 0 | 32 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-06-03T12:28:57 | 2024-06-03T12:50:40 | [{"name": "category", "dtype": "string"}, {"name": "text", "dtype": "string"}] | {} |
RCC-MSU/collection3 | default | 7 | 111 | ["task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:other", "language_creators:found", "multilinguality:monolingual", "language:ru", "license:other", "size_categories:10K<n<100K", "region:us"] | ["ru"] | ["other"] | 2022-08-23T14:03:02 | 2023-01-31T09:47:58 | [{"name": "id", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "O", "1": "B-PER", "2": "I-PER", "3": "B-ORG", "4": "I-ORG", "5": "B-LOC", "6": "I-LOC"}}}}] | {} |
aircrypto/GitHub-C-Code-Pseudocode-C-Py-New-v3 | default | 0 | 32 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-04T04:04:47 | 2024-09-04T05:33:39 | [{"name": "pseudocode", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "c_code", "dtype": "string"}] | {} |
amuvarma/luna-3-raw | default | 0 | 38 | ["size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-11-08T17:00:29 | 2024-11-08T17:00:40 | [{"name": "text", "dtype": "string"}, {"name": "emotion", "dtype": "string"}, {"name": "audio", "dtype": "audio"}] | {} |
caneronat/piitest | default | 0 | 4 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2025-01-19T10:43:23 | 2025-01-19T10:46:10 | [{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "int64"}] | {} |
ilustraviz/training_sofa | default | 0 | 30 | ["license:mit", "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | "mit" | 2024-04-16T01:17:44 | 2024-04-16T01:21:47 | [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}] | {} |
datacomp/imagenet-1k-random-0.0-frac-1over32 | default | 0 | 20 | ["size_categories:100K<n<1M", "modality:image", "region:us"] | null | null | 2025-01-13T13:36:41 | 2025-01-17T22:23:21 | [{"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"}}}}] | {} |
IdaFLab/ECG-Heatmap-FL | plain_text | 0 | 52 | ["size_categories:100K<n<1M", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-09-21T08:10:22 | 2024-09-21T12:39:22 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": [{"0": "Normal"}, {"1": "Arrhythmia"}]}}}] | {} |
dgambettaphd/D_gen3_run0_llama2-7b_sciabs_doc1000_real64_synt64 | default | 0 | 39 | ["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-13T05:54:44 | 2024-12-13T05:54:47 | [{"name": "id", "dtype": "int64"}, {"name": "doc", "dtype": "string"}] | {} |
YYYYYYibo/ultrafeedback_binarized_doff_real_no_golden_vllm_part_3_mini_3 | default | 0 | 30 | ["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-05-09T06:27:13 | 2024-05-09T06:27:17 | [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "score_chosen", "dtype": "float64"}, {"name": "score_rejected", "dtype": "float64"}, {"name": "reference_response", "dtype": "string"}, {"name": "resp0", "dtype": "string"}, {"name": "resp1", "dtype": "string"}, {"name": "resp2", "dtype": "string"}, {"name": "resp3", "dtype": "string"}] | {} |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8c4e5d86-d1d5-4733-b926-0707b84c43e0 | default | 0 | 33 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-10-07T13:33:13 | 2024-10-07T13:33:14 | [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "positive", "1": "negative"}}}}] | {} |
kowndinya23/flan2022-zeroshot-task-token-inpt-outp-3200000 | default | 0 | 39 | ["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-12-04T10:04:43 | 2024-12-04T10:05:31 | [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}] | {} |
Aedancodes/CI_dataset | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2024-08-31T09:10:23 | 2024-08-31T09:10:25 | [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "string"}] | {} |
jamestalentium/xsum_250_finetune | default | 0 | 31 | ["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"] | null | null | 2023-10-25T18:11:05 | 2023-10-25T18:11:06 | [{"name": "input_text", "dtype": "string"}, {"name": "output_text", "dtype": "string"}, {"name": "id", "dtype": "string"}] | {} |
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