davanstrien/dataset-rows-task-classifier
Text Classification • 0.4B • Updated
datasetId stringlengths 7 116 | text stringlengths 47 6k | labels listlengths 1 12 |
|---|---|---|
lyl472324464/aloha_static_tape | Columns: observation.state (List), action (List), task_index (int64), timestamp (float32), frame_index (int64), episode_index (int64), index (int64)
Example rows:
1. observation.state: [0.0, -0.9648739695549011, 1.1765632629394531, -0.0015339808305725455, -0.2929903268814087, -0.0015339808305725455, -0.0554626621305942... | [
"robotics"
] |
Gracjan/Isle | Columns: image (Image), prompt (string), label (int64)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/Gracjan/Isle/--/c0ffebfc3d6f830ed062ca708c848b6a1ed450e1/--/Isle-Brick-V1/test/0/image/image.jpg?Expires=1785332170&Signature=DF91m9bcLjM7mcVLTf2wSCS5VWymRAYxxDnSLyp99I0qVKMf~YwOWONzDWjY... | [
"visual-question-answering"
] |
TheFinAI/FinSM | Columns: query (string), dqc_id (string), answer (string), id (int64)
Example rows:
1. query: "You are an auditor for XBRL filings. Given the question and the provided filing \n(schema, presentation, calculation, definition, label, instance, and US GAAP taxonomy), \nidentify erroneous US-GAAP concepts.\n\nYou must refe... | [
"text-generation"
] |
projecte-aina/CA-ZH_Parallel_Corpus | Columns: ca (string), zh (string)
Example rows:
1. ca: Potser aquesta nit o demà [dimecres] parlaré.”. | zh: 也许今晚或明天[星期三]我会发言。
2. ca: Déu va fer els homes i les dones perquè poguessin tenir fills”, va dir Mugabe. | zh: 上帝创造了男女，所以他们可以生孩子，”穆加贝说。
3. ca: 'Fan que les coses passin a l'escenari; inventen; creen.”. | zh: 他们让事... | [
"translation"
] |
faur-ai/ro-WildChat | Columns: conversation_hash (string), model (string), timestamp (int64), conversation (List), turn (int64), language (string), openai_moderation (List), detoxify_moderation (List), toxic (bool), redacted (bool), state (string), country (string), hashed_ip (string), header (?), __id (int64), __split_translation (bool)
Ex... | [
"question-answering",
"text-generation"
] |
allenai/molmo2-mevis | Columns: id (string), video (string), expression (string), fps (int64), sampling_fps (int64), height (int64), n_frames (int64), width (int64), task (string), frame_trajectories (List), mask_id (List), obj_id (List), qid (string), anno_id (List)
Example rows:
1. id: mevis_track_0 | video: eb07a93e01fb | expression: a ye... | [
"object-detection",
"video-classification"
] |
Tevatron/docmatix-ir | Columns: query_id (string), query (string), positive_passages (?), negative_passages (?)
Example rows:
1. query_id: 0_0 | query: What is the purpose of the Confirmation Statement mentioned in the document? | positive_passages: [{"docid": "0_1", "title": "", "text": ""}] | negative_passages: [{"docid": "1215248_1", "tit... | [
"question-answering"
] |
gentilrenard/lmd_ukraine_comments | Columns: text (string), label (int64)
Example rows:
1. text: Waouh on a failli avoir un article positif (pas seulement sur Macron, mais positif sur la France). Heureusement si vous voulez du vrai positif il y a toute la presse étrangère en ce moment. On pourrait aussi parler du paquet climat voté la semaine… | label... | [
"text-classification"
] |
Kukedlc/spanish-argentino-cordobes-voseo-100 | Columns: audio (Audio), text (string), categoria (string), duracion_seg (float64), wer_vanilla (float64), whisper_hypothesis (string), speaker (string)
Example rows:
1. audio: [{"src": "https://datasets-server.huggingface.co/assets/Kukedlc/spanish-argentino-cordobes-voseo-100/--/40bb8f9d4db23c2e8610ec99a31e0d0dc8e39180... | [
"audio-classification",
"automatic-speech-recognition"
] |
caskcsg/LongBench-Pro | Columns: id (string), context (string), language (string), token_length (string), primary_task (string), secondary_task (string), contextual_requirement (string), question_nonthinking (string), question_thinking (string), answer (List), difficulty (string)
Example rows:
1. id: 401c9ee31d21dabf734bc2f48d13a4ebe30368041a... | [
"question-answering",
"summarization",
"table-question-answering",
"text-classification"
] |
jeremy-collins/libero_goal_no_noops | Columns: image (Image), wrist_image (Image), state (Sequence), actions (Sequence), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/jeremy-collins/libero_goal_no_noops/--/89c1df606360f2ac58d0... | [
"robotics"
] |
MBZUAI/ArabicMMLU | Columns: ID (int64), Source (string), Country (string), Group (string), Subject (string), Level (string), Question (string), Context (float64), Answer Key (string), Option 1 (string), Option 2 (string), Option 3 (string), Option 4 (string), Option 5 (float64), is_few_shot (int64)
Example rows:
1. ID: 7178 | Source: htt... | [
"question-answering"
] |
scikit-fingerprints/MoleculeNet_PCBA | Columns: SMILES (string), PCBA-1030 (float64), PCBA-1379 (float64), PCBA-1452 (float64), PCBA-1454 (float64), PCBA-1457 (float64), PCBA-1458 (float64), PCBA-1460 (float64), PCBA-1461 (float64), PCBA-1468 (float64), PCBA-1469 (float64), PCBA-1471 (float64), PCBA-1479 (float64), PCBA-1631 (float64), PCBA-1634 (float64), ... | [
"tabular-classification",
"text-classification"
] |
common-pile/python_enhancement_proposals_filtered | Columns: added (string), created (timestamp[us]), id (string), metadata (?), source (string), text (string)
Example rows:
1. added: 2024-10-18T13:23:14.967544 | created: 2023-10-14T00:00:00 | id: 0732 | metadata: {"authors": ["Joanna Jablonski"], "license": "Public Domain", "pandoc_version": "3.5", "pep_number": "0732"... | [
"text-generation"
] |
villekuosmanen/agilex_spell_yes | Columns: action (List), observation.state (List), observation.effort (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [-0.00286102294921875, 0.00133514404296875, 0.00705718994140625, 0.10585975646972656, -0.00324249267578125, 0.052071571... | [
"robotics"
] |
lianghsun/tw-legal-nlp | Columns: messages (List), instruction (string), input (string), output (string), task (string)
Example rows:
1. messages: [{"role": "user", "content": "以下是判決書內容。臺灣臺北地方法院民事判決 上 訴 人 即 被 告 張三豐。誰是上訴人？"}, {"role": "assistant", "content": "張三豐"}] | instruction: | input: 以下是判決書內容。臺灣臺北地方法院民事判決 上 訴 人 即 被 告 張三豐。誰是上訴人？ | output:... | [
"question-answering",
"text-generation",
"token-classification"
] |
taide/TAIDE-14-tasks | Columns: Unnamed: 0 (int64), Topic (string), Task (string), Keywords (string), Prompt (string), Input (string), Positive Response (string), Negative Response (string)
Example rows:
1. Unnamed: 0: 263 | Topic: 生物學和生物技術 | Task: 分類 | Keywords: 有什麼風險？ | Prompt: 請將以下生物技術應用分為低風險、中風險、和高風險三種類型，並簡要解釋為什麼將其分為該風險類型。 | Input: 基因編輯、... | [
"question-answering",
"text-generation"
] |
IlyasFardaouixx/moroccan-darija-dataset | Columns: text (string), url (string)
Example rows:
1. text: الحمدلله على الإسلام | url: https://www.youtube.com/watch?v=5JUlNlGqnlw
2. text: اه ولله | url: https://www.youtube.com/watch?v=5JUlNlGqnlw
3. text: الحين لما ابي احقق شيء لما اكبر حتى قبل ما اكبر تتحقق لواحد تاني | url: https://www.youtube.com/watch?v=KIlYZiv... | [
"text-classification",
"text-generation"
] |
electricsheepasia/asia-owid-annual-working-hours-per-worker-vs-gdp-per-capita-long-run | Columns: country_name (string), country_iso3 (string), year (int64), Working hours per worker (float64), GDP per capita (float64), Population (float64), World region according to OWID (string), GDP per capita (Annotations) (string)
Example rows:
1. country_name: Afghanistan | country_iso3: AFG | year: 1950 | Working ho... | [
"tabular-classification",
"tabular-regression",
"time-series-forecasting"
] |
youjunhyeok/smoltalk-ko-translate | Columns: original_idx (string), conversations (?), source (string)
Example rows:
1. original_idx: train-0 | conversations: [{"content": "함수 \\( g(x) \\)는 함수 방정식을 만족합니다.\n모든 실수 \\( x \\)와 \\( y \\)에 대해 \\[ g(x + y) = g(x) + g(y) \\]\n는 \\( g(3) = 4 \\)가 주어집니다. g(10) \\)을 구합니다.", "role": "user"}, {"content": "함수 방정식과 특정 ... | [
"text-generation"
] |
webxos/wavebender_dataset | Columns: complexity (int64), noise (float64), frequency (float64), sample_rate (int64), center_region_training (bool), dynamic_obstacles (bool), avoidance_training (bool), dataset_id (string)
Example rows:
1. complexity: 7 | noise: 2.5 | frequency: 1.8 | sample_rate: 100 | center_region_training: true | dynamic_obstacl... | [
"reinforcement-learning",
"robotics",
"tabular-regression"
] |
Glebkaa/MedSyn-synthetic | Columns: idx (string), ICD-10 (string), generation_model (string), prompt (string), prior (string), example (string), example_source (string), response (string), symptoms (string), anamnesis (string), symptoms_recall (float64), anamnesis_precision (float64)
Example rows:
1. idx: Wpw9yeoi3pxvVmWsfzQMNK | ICD-10: I11 | g... | [
"text-classification",
"text-generation"
] |
trucmtnguyen/multimodal-product-reviews-lazada | Columns: image (Image)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/trucmtnguyen/multimodal-product-reviews-lazada/--/d8434afae9bce0592df10ae245e9850ac5182d59/--/default/train/0/image/image.jpg?Expires=1785332171&Signature=U-BgoZsbMIgMEl~MrxUVxpw2CJ6AadFcJKNX4X~y…
2. image: {"src": "ht... | [
"image-text-to-text",
"image-to-image",
"text-retrieval"
] |
jylins/videomarathon | Columns: video (string), data_source (string), answer (string), question_type (string), id (string), question (string), URL (string)
Example rows:
1. video: activitynet/v_-vDMeHr1ZfI.mp4 | data_source: ActivityNet | answer: The video captures the transition from day to night, highlighting the serene ambiance of a resta... | [
"video-text-to-text",
"visual-question-answering"
] |
KirillR/BearAtlas | Columns: text (string), cluster_label (int64), format (string), tokens_length (int64), cluster_tags (string)
Example rows:
1. text: **Фундамент для печи: особенности и принципы устройства** При строительстве печи фундамент является важнейшей составляющей, обеспечивающей её надёжность и эффективность. Выбор типа фундаме... | [
"text-generation"
] |
wuke2024/CADS-dataset | Columns: Image ID (string), Spacing X (float64), Spacing Y (float64), Spacing Z (float64), Size X (int64), Size Y (int64), Size Z (int64)
Example rows:
1. Image ID: 10000005_0000.nii.gz | Spacing X: 0.818359375 | Spacing Y: 0.818359375 | Spacing Z: 1.5 | Size X: 512 | Size Y: 512 | Size Z: 880
2. Image ID: 10000006_000... | [
"image-segmentation"
] |
mteb/LEMBQMSumRetrieval | Columns: _id (string), text (string), title (string)
Example rows:
1. _id: doc_0 | text: Project Manager: Can I close this ? User Interface: Uh we don't have any changes , do we ? Project Manager: Oh , okay . User Interface: So no . {vocalsound} Project Manager: {vocalsound} There we go . Okay , here we are again . Det... | [
"text-retrieval"
] |
d0rj/LLaVA-OneVision-Data-ru | Columns: id (string), image (Image), conversations (?), data_source (string)
Example rows:
1. id: identity_1040 | image: {"src": "https://datasets-server.huggingface.co/assets/d0rj/LLaVA-OneVision-Data-ru/--/016c856a1b54f9af55af2b619e456925b875d2d3/--/CLEVR-Math%28MathV360K%29/train/0/image/image.png?Expires=1785332171... | [
"image-to-text",
"text-generation",
"visual-question-answering"
] |
seriintan/Task02_leftrobot-combined_02_20260602_163226 | Columns: action (List), observation.state (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [1.5384615659713745, -103.6043930053711, 93.010986328125, 64.13186645507812, 4.175824165344238, 2.2103657722473145] | observation.state: [-2.24175... | [
"robotics"
] |
syun88/dual_scorpion_oc_polish_the_bowl1 | Columns: action (List), observation.state (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [13.452027320861816, 15.503875732421875, -1.478196620941162, 90.7224349975586, 3.8676843643188477, 67.52201843261719, -11.343894004821777, 2.55288... | [
"robotics"
] |
raulc0399/open_pose_controlnet | Columns: id (int64), image (Image), conditioning_image (Image), text (string)
Example rows:
1. id: 798 | image: {"src": "https://datasets-server.huggingface.co/assets/raulc0399/open_pose_controlnet/--/9fc8da66e5c6f397d4a0ef3aa55523cde1c532de/--/default/train/0/image/image.jpg?Expires=1785332171&Signature=G47mV5UIKwVV~4... | [
"image-to-image"
] |
undertheseanlp/UDD-v0.1 | Columns: sent_id (string), text (string), comments (List), tokens (List), lemmas (List), upos (List), xpos (List), feats (List), head (List), deprel (List), deps (List), misc (List), mwt (List), empty_nodes (List)
Example rows:
1. sent_id: s1 | text: Công nhận , tôn trọng , bảo vệ và bảo đảm quyền dân sự 1 . | comments... | [
"token-classification"
] |
dsfsi/govza-sa-cabinet-statements-sentence-aligned | Columns: afr (string), eng (string), score (string), __index_level_0__ (int64)
Example rows:
1. afr: Ms Molefi Kubuziej. | eng: Ms Molefi Kubuziej. | score: 0.9999997 | __index_level_0__: 13255
2. afr: The changes are in line with the National Integrated Information and Communications Technology Policy White Paper of 2... | [
"sentence-similarity",
"translation"
] |
BEE-spoke-data/sarcasm-scrolls | Columns: section (string), filename (string), text (string)
Example rows:
1. section: cracked | filename: if_beer_ads_were_forced_to_be_honest_beer_commercial_parody | text: Carp's signature summer ales. When friends gather, tradition, craftsmanship, and quality blend together into an affordable brain and liver poison,... | [
"text-generation"
] |
LLMcompe-Team-Watanabe/gpqa_preprocess | Columns: question (string), answer (string)
Example rows:
1. question: Two quantum states with energies E1 and E2 have a lifetime of 10^-9 sec and 10^-8 sec, respectively. We want to clearly distinguish these two energy levels. Which one of the following options could be their energy difference so that they can be clea... | [
"question-answering"
] |
MahmoudAly/LexAbSumm | Columns: id (int64), case_name (string), judgement_date (string), facts_summary (string), law_summary (string), title (string), subtitle (string), facts_source (Sequence), law_source (Sequence)
Example rows:
1. id: 1 | case_name: M.H. and Croatia | judgement_date: 18 November 2021 | facts_summary: "The applicants were ... | [
"sentence-similarity",
"summarization",
"text-generation"
] |
toilaluan/Bee-Training-Data-Stage2 | Columns: images (List), conversations (List), id (string), img_size (List)
Example rows:
1. images: [{"src": "https://datasets-server.huggingface.co/assets/toilaluan/Bee-Training-Data-Stage2/--/2158bc30a8b474ecdf3ff63d6f4ea9fac7162419/--/COYO-Recaption/train/0/images/image-1d100e9.jpg?Expires=1785332171&Signature=cBgsF... | [
"image-to-text"
] |
IPEC-COMMUNITY/roboturk_lerobot | Columns: observation.state (Sequence), action (Sequence), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. observation.state: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] | action: [0.01728704385459423, -0.011484858579933643, -0.012767722830176353, -0.09590... | [
"robotics"
] |
calebheinzman/YC_jobs | Columns: Page Url (string), Company Name (string), Company Headline (string), Num Jobs (int64), Website (string), Founded Year (float64), Team Size (int64), Location (string), Group Partner (string), Group Partner Url (string), Logo Url (string), Raw Description (string), Tags (string), Social Links Linkedin Url (strin... | [
"text-classification"
] |
Process-Venue/Marathi_Handwritten | Columns: image (Image), id (int64), filename (string), label (string), type (string)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/Process-Venue/Marathi_Handwritten/--/4f1a71894653b396977a21f4afd8a42e694100f2/--/default/train/0/image/image.png?Expires=1785332171&Signature=fUGCqJ3aAXh29g... | [
"image-classification",
"image-feature-extraction",
"image-to-text"
] |
Alexhimself/ExAct | Columns: video (Video), id (string), domain (string), is_ge (bool), groundTruth (string), negative_comments (List), take_name (string), video_time (float64), task_name (string)
Example rows:
1. video: {"src": "https://huggingface.co/datasets/Alexhimself/ExAct/resolve/1bd51bfdbd228f850f69cf81d3b4919c71608c04/data/dance_... | [
"question-answering",
"video-classification"
] |
mulan-dataset/v1.0 | Columns: image (Image)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/mulan-dataset/v1.0/--/727668b1a10f6d467255a6464d0d685daa960f38/--/default/train/0/image/image.png?Expires=1785332171&Signature=sdMbCV8o2jqlocCZvvJmjfKNKutKcNZ2h3lQ~8kkCxpzmOlPvgfXDrSEhGZZeaRINxBb…
2. image: {"src": "ht... | [
"text-to-image"
] |
sentence-transformers/msmarco-mpnet-margin-mse-mean-v1 | Columns: query (string), positive (string), negative (string)
Example rows:
1. query: what are the liberal arts? | positive: liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to pr... | [
"feature-extraction",
"sentence-similarity"
] |
sayurio/jugantor.com-scrape-bangla | Columns: url (string), title (string), description (string), keywords (List), author (string), publishedDate (string), modifiedDate (string), category (string), language (string), siteName (string), image (string), type (string), canonical (string), content (string), breadcrumbs (List), tags (List), scrapedAt (string)
... | [
"question-answering",
"sentence-similarity",
"table-question-answering",
"text-classification",
"text-generation",
"token-classification",
"translation"
] |
fengyi233/CarlaOcc | Columns: text (string)
Example rows:
1. text: 01 07 0000
2. text: 01 07 0001
3. text: 01 07 0002
4. text: 01 07 0003 | [
"image-classification",
"image-segmentation"
] |
Zen0/AusCyberBench | Columns: task_id (string), version (string), category (string), subcategory (string), task_type (string), difficulty (string), title (string), description (string), context (string), australian_focus (List), regulatory_references (List), essential_eight_control (string), essential_eight_maturity (int64), answer (string... | [
"multiple-choice",
"question-answering"
] |
shlokn/autogkb | Columns: pmcid (string), article_title (string), article_path (string), article_text (string), variant_annotation_id (int64), variant_haplotypes (string), gene (string), drugs (string), pmid (int64), phenotype_category (string), significance (string), notes (string), sentence (string), alleles (string), specialty_popul... | [
"feature-extraction",
"text-classification"
] |
dunnolab/so-combined-eng | Columns: action (List), observation.state (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [3.3514492511749268, -98.98218536376953, 99.08966827392578, 50.38886642456055, 0.3663003742694855, 0.09267840534448624] | observation.state: [3.62... | [
"robotics"
] |
PaDaS-Lab/webfaq-retrieval | Columns: _id (string), title (string), text (string)
Example rows:
1. _id: 0 | title: | text: التحميد متوفر لفترة مستقبلة تبدا من تاريخ ارسال الطلب ولا يمكن ايقاف او تجميد الاشتراك عن فترات سابقة
2. _id: 1 | title: | text: تتجه بلجيكا إلى سحب الجنسية من مواطنيها في حالة ارتكاب جرائم تهدد أمن الدولة، أو الحصول على الج... | [
"text-retrieval"
] |
Mobiusi/Floral-Health-Status-Monitoring-Dataset | Columns: file_name (string), quality (string), flower_type (string), disease_presence (string), disease_type (string), health_status (string), pest_presence (string), pest_type (string), flower_color (string), blossom_stage (string), leaf_condition (string)
Example rows:
1. file_name: 0932f5d8677c43a2a3ee0ed971dca990.j... | [
"object-detection"
] |
xCenny/Whusdata-Alpha | Columns: topic (string), domain (string), difficulty (string), persona (string), scenario_conflict (string), winner (string), logic_score (float64), factual_score (float64), critic_confidence (float64), memory_score (int64), tier (int64), model_used (string), messages (List), critic_analytics (Json), dataset_name (stri... | [
"text-classification",
"text-generation"
] |
SINAI/ALIA-es-cultural-heritage-pairs | Columns: id_passage (string), id_passage_query (string), id_document (string), passage (string), character (string), type (string), difficulty (string), query (string), source_id (string)
Example rows:
1. id_passage: Patrimonio_Cultural_Inmaterial_España-PCI_Nacional_4-10 | id_passage_query: Patrimonio_Cultural_Inmater... | [
"question-answering",
"text-generation"
] |
lerobot/xvla-soft-fold | Columns: observation.state (List), action (List), time_stamp (float32), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. observation.state: [0.1452620029449463, -0.04244599863886833, 0.342866986989975, -3.0227532386779785, 0.4809429347515106, 2.89663577... | [
"robotics"
] |
wildwood77/bluesky-embeddings-daily | Columns: uri (string), created_at (string), created_date (string), created_hour (int64), text (string), embedding (List), post_url (string)
Example rows:
1. uri: at://did:plc:hscq2qf52scnnhwxnjegygcu/app.bsky.feed.post/3ltsmr3c7gc2t | created_at: 2025-07-13T00:32:37.186Z | created_date: 2025-07-13 | created_hour: 0 | t... | [
"feature-extraction"
] |
andynoodles/Taiwan-UrbanPlan | Columns: image (Image), type (string), ocr (string), bbox (List), polygon_points (List), group_id (int32), page_width (int32), page_height (int32), doc_id (string), page_index (int32), block_index (int32), source (string), ocr_revised (string), correct_status (string)
Example rows:
1. image: {"src": "https://datasets-s... | [
"image-to-text"
] |
chengkunli/blue_cup_pour | Columns: action (Sequence), observation.state (Sequence), timestamp (float32), task_index (int64), frame_index (int64), episode_index (int64), index (int64)
Example rows:
1. action: [18.556842803955078, 11.168628692626953, -39.378448486328125, -39.39323425292969, 3.2066173553466797, 1.7274742126464844, -3.8897151947021... | [
"robotics"
] |
aagoluoglu/text-to-svg | Columns: id (string), prompt (string), svg (string)
Example rows:
1. id: fd61e324e0cec5c11f337d0bfe2858c8 | prompt: The image features two orange squares with a microphone icon and an arrow connecting them, set against a white background. | svg: <svg xmlns="http://www.w3.org/2000/svg" viewBox="0.0 0.0 200.0 200.0" heig... | [
"text-to-image"
] |
facebook/LCFO | Columns: subset (string), item_id (string), source_text (string), src_paragraph_bounds (Sequence), word_count (int64), summary_20 (string), summary_10 (string), summary_5 (string), summary_20_offsets (Sequence), summary_10_offsets (Sequence), summary_5_offsets (Sequence), summary_20_paragraphs (Sequence), summary_10_pa... | [
"summarization"
] |
orailix/MUCH-configs | Columns: model_name (string), eager (bool), brief (bool), greedy (bool), seed (int64), temperature (float64), top_p (float64), top_k (int64), max_new_tokens (int64), generation_config (string)
Example rows:
1. model_name: mistralai/Ministral-8B-Instruct-2410 | eager: false | brief: true | greedy: false | seed: 1234 | t... | [
"token-classification"
] |
ZihengZhou06/AMPBench-MT | Columns: sequence (string), sequence_md5 (string), binary_label (int64), candidate_label (string), source_databases_public (string), source_ids (string), evidence_level (string), length (int64), net_charge_simple (float64), hydrophobic_fraction (float64), aromatic_fraction (float64), cationic_fraction (float64), cystei... | [
"tabular-classification",
"tabular-regression",
"text-classification"
] |
Abirate/english_quotes | Columns: quote (string), author (string), tags (Sequence)
Example rows:
1. quote: “Be yourself; everyone else is already taken.” | author: Oscar Wilde | tags: ["be-yourself", "gilbert-perreira", "honesty", "inspirational", "misattributed-oscar-wilde", "quote-investigator"]
2. quote: “I'm selfish, impatient and a little... | [
"text-classification"
] |
Huggbottle/WorldFlags-Every-Nation-Flag | Columns: image (Image)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/Huggbottle/WorldFlags-Every-Nation-Flag/--/3b195e8ec82464d6f4d6a909bc945f724819003f/--/default/train/0/image/image.png?Expires=1785332172&Signature=aq03oHs35ToRBMXYstRjFiH7ufjs2fCN0eVrekedmo-jCjY…
2. image: {"src": "ht... | [
"image-classification"
] |
JQL-AI/JQL-Human-Edu-Annotations | Columns: text (string), metadata (?), document_id (string), score (float64), aggregation_type (string)
Example rows:
1. text: التحويل الإلكتروني هو شكل من أشكال العلاج النفسي بالابر، يعتمد على نفس خطوط الطول للطاقة المستخدمة في الوخز بالإبر التقليدية لعلاج الأمراض الجسدية والعاطفية لأكثر من 5,000 سنة، ولكن دون استخدام ... | [
"text-classification"
] |
ud-synthetic/qatari-passports | Columns: image (Image)
Example rows:
1. image: {"src": "https://datasets-server.huggingface.co/assets/ud-synthetic/qatari-passports/--/0976641f94f03230cfcaf43b39edbbdc467597d2/--/default/train/0/image/image.jpg?Expires=1785332172&Signature=Ichg9-H~JMlZexpvIi5DxtAi69R--TFEhhkWGAlyPcwZ1nMfzk3WPwUVg…
2. image: {"src": "ht... | [
"image-to-text"
] |
oscarzhang/Wearable_TimeSeries_HealthRecommendation_Dataset | Columns: messages (List)
Example rows:
1. messages: [{"role": "system", "content": "请阅读以下健康异常检测输入描述，生成符合P3与PROCEED框架的个性化健康干预方案，需列出异常点、推理过程、误报判断、紧急处理、长期方案及用户特征说明，且所有建议需为个人可执行。"}, {"role": "user", "content": "# 健康异常检测分析报告\n\n## 异常概览\n\n**异常类型**：低活动压力异常 \n**持续时长**：7天 \n**异常趋势**：恶化 \n**严重程度**：轻度异常（异常分数略高于…
2. messages: [{"... | [
"text-generation"
] |
liuhuanjim013/so100_th | Columns: action (Sequence), observation.state (Sequence), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [-23.818359375, 191.865234375, 172.265625, 76.552734375, -5.44921875, 0.34572169184684753] | observation.state: [-22.763671875, 191.074218... | [
"robotics"
] |
davidkling/hf-coding-tools-dashboard-v2 | Columns: id (int64), name (string), keywords (string), category (string), is_active (int64)
Example rows:
1. id: 1 | name: Transformers | keywords: ["transformers","from transformers","huggingface/transformers","hf transformers","AutoModel","AutoTokenizer","AutoModelFor","hugging face transformers","PreTrainedModel","f... | [
"text-generation"
] |
data-silence/sumnews | Columns: title (string), resume (string), news (string)
Example rows:
1. title: عمان تلوح بالانسحاب من مجلس التعاون الخليجي إذا تحول اتحادا | resume: أعلنت سلطنة عمان رسمياً معارضتها للاتحاد الخليجي وعبرت عن استعدادها للانسحاب من مجلس التعاون الخليجي اذا تم انشاء اتحاد بين الدول الخليجية الست. | news: ستكون القضية على ... | [
"summarization",
"text-generation"
] |
aHiroakiIshikawa/openarm_mini_dual_camera_blue_sponge_0529_01_right_only_lpf_hybrid_v4 | Columns: action (List), observation.state (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64)
Example rows:
1. action: [0.9230791330337524, 0.043955788016319275, 0.13187040388584137, 0.04395567998290062, 0.13186931610107422, 0.2197800576686859, -0.30769431591033936... | [
"robotics"
] |
Jackrong/Qwen3-235B-A22B-Instruct-2507-Distilled-chat | Columns: generator (string), Input (List), output (string), category (string)
Example rows:
1. generator: Qwen3-235B-A22B-Instruct-2507 | Input: [{"role": "user", "content": "Task: Generate a script for a language learning lesson that compares and contrasts Merleau-Ponty's views on the body with those of other philosop... | [
"question-answering",
"table-question-answering",
"translation"
] |
alisawuffles/WANLI | Columns: id (int64), premise (string), hypothesis (string), gold (string), genre (string), pairID (string)
Example rows:
1. id: 70337 | premise: For more than a decade, the town has had a curfew for children, who are to be in bed by 10 p.m. | hypothesis: The town has a curfew for children, but it is not enforced. | gol... | [
"text-classification"
] |
community-datasets/yahoo_answers_topics | Columns: id (int32), topic (ClassLabel), question_title (string), question_content (string), best_answer (string)
Example rows:
1. id: 0 | topic: 4 | question_title: why doesn't an optical mouse work on a glass table? | question_content: or even on some surfaces? | best_answer: Optical mice use an LED and a camera to r... | [
"text-classification"
] |
zqiu96/Singpath_CytoText | Columns: image_name (string), label (string)
Example rows:
1. image_name: ss_000201384_979_472_284_266.jpg | label: HSIL
2. image_name: ss_000068269_531_1108_221_216.jpg | label: HSIL
3. image_name: 39pVw1622795072396_0_1363_518_490.jpg | label: LSIL
4. image_name: ss_000924453_0_3_412_455.jpg | label: HSIL | [
"question-answering"
] |
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