datasetId stringlengths 7 116 | text stringlengths 17 6k | labels listlengths 1 12 |
|---|---|---|
xln3/bamboo-papers | Columns: pdf (Pdf) | [
"text-generation"
] |
ClarusC64/clinical-five-node-sepsis-cascade-boundary-v0.2 | Columns: scenario_id (int64), infection_pressure (float64), physiological_buffer (float64), intervention_delay (float64), organ_coupling (float64), hemodynamic_stability (float64), drift_gradient (float64), label_sepsis_boundary_transition (int64) | [
"text-classification"
] |
13ari/Sanskriti | Columns: state (string), attribute (string), question (string), option1 (string), option2 (string), option3 (string), option4 (string), answer (string), short explaination / source link (string), question_type (string) | [
"question-answering"
] |
Voxel51/mind2web_multimodal_test_task | Columns: image (Image) | [
"image-classification",
"object-detection"
] |
TIGER-Lab/ImagenWorld | Columns: id (string), task (ClassLabel), topic (string), subtopic (string), prompt (string), cond_images (List), remarks (string), prompt_refined (string), annotator (string), objects (List), human_annotation (bool), human_annotation_opensource (bool) | [
"text-to-image"
] |
OpenFace-CQUPT/HumanCaption-10M | Columns: image_id (string), image (string), human_caption (List), url (string), laion_caption (List), sha256 (string) | [
"image-to-text",
"text-to-image"
] |
MEscriva/french-education-speech | Columns: id (string), audio (Audio), text (string), duration (float32), category (string), quality (string), source (string), speaker_role (string), domain (string) | [
"audio-classification",
"automatic-speech-recognition"
] |
KuphDev/place_green_duck_pruned | Columns: action (List), observation.state (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64) | [
"robotics"
] |
eth-sri/AutoBaxBench | Columns: task_id (string), scenario_id (string), env_id (string), api_specification (string), text_specification (string), short_app_description (string), scenario_instructions (null), needs_db (bool), needs_secret (bool), needed_packages (string), potential_cwes (string), env_language (string), env_extension (string),... | [
"text-generation"
] |
scikit-fingerprints/TDC_cyp2c9_veith | Columns: SMILES (string), Y (int64) | [
"tabular-classification",
"text-classification"
] |
MiliLab/AnesBench | Columns: id (string), question (string), A (string), B (string), C (string), D (string), choice_num (int64), target (string), category (int64), E (string), F (string), G (string), H (string), I (string) | [
"question-answering"
] |
nvidia/QCalEval | Columns: id (string), experiment_type (string), experiment_family (string), images (List), image_ids (List), experiment_background (string), q1_prompt (string), q2_prompt (string), q3_prompt (string), q4_prompt (string), q5_prompt (string), q6_prompt (string), q1_answer (string), q2_answer (string), q3_answer (string),... | [
"image-to-text",
"visual-question-answering"
] |
filbench/UD_Tagalog-NewsCrawl | Columns: id (string), text (string), tokens (List), lemmas (List), xpos_tags (List), upos_tags (List), feats (List), heads (List), deprels (List) | [
"token-classification"
] |
villekuosmanen/agilex_pour_water_jigger2cup | Columns: action (List), observation.state (List), observation.effort (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64) | [
"robotics"
] |
Fishiing/LongVidSearch | Columns: question (string), answer (string), category (string), hop_level (string), evidence_slices (List), reasoning_chain (string), logic_check_reasoning (string), visual_proof (string), vid (string), original_text_answer (string), verdict_meta (string) | [
"question-answering"
] |
pranavvmurthy26/synthetic-financial-tool-calling-grpo-rlvr-1k | Columns: prompt (List), answer (string), ground_truth (string) | [
"reinforcement-learning",
"text-generation"
] |
artefactory/Argimi-Ardian-Finance-10k-text-image | Columns: __key__ (string), __url__ (string), png (Image), txt (string), cells.json (List), segments.json (List), metadata.json (?) | [
"text-generation",
"text-retrieval"
] |
vinven7/materials-dielectric-prediction | Columns: prompt (string), completion (string), formula (string), mpid (string) | [
"tabular-regression"
] |
MaggiePai/mental_health_counseling_conversations | Columns: Context (string), Response (string) | [
"question-answering",
"text-generation"
] |
ClarusC64/clinical-lab-critical-result-notification-action-coherence-risk-v0.1 | Columns: uid (string), dataset_id (string), care_setting (string), lab_test_type (string), critical_result_signal (string), critical_value (string), lab_alert_sent_signal (string), clinician_notified_signal (string), notification_timing_signal (string), action_taken_signal (string), action_timing_signal (string), repea... | [
"text-classification"
] |
FanqingM/MMK12 | Columns: id (string), question (string), answer (string), subject (string), image (Image) | [
"table-question-answering"
] |
Project-AgML/durian_disease_classification | Columns: image (Image), label (ClassLabel) | [
"image-classification"
] |
gary23ai/STEM2Crystal-Bench | Columns: sid (string), formula (string), phase (string), material (string), image_source (string), source_doi (string), cif_origin (string), license (string), n_atoms (int64), a (float64), b (float64), c (float64), alpha (float64), beta (float64), gamma (float64), volume (float64), space_group (int64) | [
"image-to-text"
] |
avemio/German-RAG-ORPO-Long-Context-Alpaca-HESSIAN-AI | Columns: System (string), Instruction (string), Chosen (string), Rejected (string) | [
"question-answering",
"summarization"
] |
TIGER-Lab/EditReward-Bench | Columns: id (string), instruction (string), dataset (string), ranking (string), source_image (Image), candidate_1 (Image), candidate_2 (Image), model_1 (string), model_2 (string), score_1 (float64), score_2 (float64), overall_score_1 (float64), overall_score_2 (float64), instruction_following_1 (float64), instruction_f... | [
"image-text-to-text"
] |
UniDataPro/arabic-speech-recognition | Columns: audio (Audio) | [
"audio-classification",
"audio-to-audio",
"automatic-speech-recognition"
] |
internlm/Spark-Data | Columns: dataset (string), problem (string), answer (string), image_path (string), answer_string (string) | [
"image-text-to-text",
"question-answering"
] |
yifanzhang114/MM-RLHF | Columns: id (string), question (string), answer (string), image (string), video (string), models_output (Sequence), faithfulness (Sequence), helpfulness (Sequence), ethical (Sequence), final_ranking (Sequence), score_reasons (Sequence), ranking_reason (string) | [
"image-text-to-text"
] |
AxiomicLabs/NPset-python | Columns: code (string), original_code (string), original_language (string), source (string) | [
"sentence-similarity",
"text-generation"
] |
SpatialGroundingVQA/SGMRI-VQA | Columns: volume_id (string), slice_num (int64), modality (string), image_path (string), level (string), task (string), type (string), question (string), answer (string), reasoning (string), ground_truth (?), choices (?) | [
"image-to-text",
"visual-question-answering"
] |
uhhlt/Tuda-De | Columns: audio (Audio), gender (string), microphone (string), speaker_id (string), angle (string), ageclass (string), sentence_id (string), sentence (string), cleaned_sentence (string), corpus (string), muttersprachler (string), bundesland (string), source (string) | [
"automatic-speech-recognition"
] |
nicholasKluge/harmful-text | Columns: harmless (string), harmful (string) | [
"text-classification"
] |
prithivMLmods/Face-Depth-3D | Columns: image (Image), output_mask (Image), glb_3d_file (string) | [
"image-to-3d"
] |
ghananlpcommunity/twi-health-asr-gemini-500hrs | Columns: audio (Audio), transcription (string) | [
"automatic-speech-recognition"
] |
OxRML/AgentSLR | Columns: article_id (string), source (string), pmid (float64), pmcid (string), doi (string), title (string), authors (string), journal (string), year (float64), abstract (string), url (string), openalex_id (string), openalex_pdf_url (float64), pathogen (string), query (string), harvested_at (string), downloaded (bool),... | [
"question-answering",
"table-question-answering",
"text-classification"
] |
ele-sage/person-company-names-classification | Columns: text (string), label (int64) | [
"text-classification",
"token-classification"
] |
Chennzi/CUAGym_V2 | Columns: images (List), messages (string), metadata (string) | [
"image-text-to-text"
] |
kayzliu/TAGFN | Columns: 0 (string) | [
"text-classification"
] |
imva-upf/SoccerHigh | Columns: text (string) | [
"feature-extraction",
"video-classification"
] |
electricsheepafrica/africa-ethiopia-mpi | Columns: country_iso3 (string), admin_1_pcode (string), admin_1_name (string), mpi (float64), headcount_ratio (float64), intensity_of_deprivation (float64), vulnerable_to_poverty (float64), in_severe_poverty (float64), survey (string), start_date (timestamp[ns, tz=UTC]), end_date (timestamp[ns, tz=UTC]), esa_source (st... | [
"tabular-classification",
"tabular-regression"
] |
heyIamUmair/pakistani-law-family-criminal-property | Columns: Query (string), Response (string) | [
"question-answering",
"text-classification",
"text-retrieval"
] |
gender-bias-bengali/wonbias-partial-dataset | Columns: Data (string), Label (int64) | [
"text-classification"
] |
toksuite/toksuite_english | Columns: question (string), choices (List), answer (int64), answer_label (string), split (string), subcategories (string), category (string), lang (string), second_lang (string), notes (string), id (string), set_id (string), variation_id (string), vanilla_cos_sim_to_canonical (?), trimmed_cos_sim_to_canonical (?), toke... | [
"multiple-choice"
] |
TIGER-Lab/VideoEval-Pro | Columns: video (string), question (string), options (?), answer (string), answer_text (string), meta (string), source (string), qa_subtype (string), qa_type (string) | [
"video-text-to-text"
] |
Snowflake/msmarco-v2.1-snowflake-arctic-embed-m-v1.5 | Columns: doc_id (string), embedding (Sequence) | [
"question-answering"
] |
Mxode/Chinese-QA-Agriculture_Forestry_Animal_Husbandry_Fishery | Columns: id (string), prompt (string), response (string) | [
"question-answering",
"text-generation"
] |
peteole/coco2017-segmentation-10k-256x256 | Columns: image (Image), segmentation (Image), captions (Sequence) | [
"image-segmentation",
"image-to-text",
"text-to-image"
] |
manandey/id_clickbait | Columns: title (string), label_score (int64), label (string) | [
"text-classification"
] |
ai-galileo/clinical-notes-to-fhir | Columns: exampleId (string), difficulty (string), edge_cases (List), resource_count (int64), type (string), scenario (string), note (string), fhir_bundle (string), mappings (string), valid (bool), validation_errors (string), error (string) | [
"text-generation",
"token-classification"
] |
CinderD/TeachArena | Columns: id (string), description (?), user_scenario (?), ticket (string), initial_state (Json), evaluation_criteria (?), task_type (string), discipline (string) | [
"question-answering",
"text-generation"
] |
mteb/KorHateSpeechMLClassification | Columns: text (string), label (List) | [
"text-classification"
] |
TaipingQu/CMRAgentEvalSet | Columns: id (string), image (List), conversations (List) | [
"image-classification",
"image-to-text",
"question-answering"
] |
MTEB-BR/juristcu-reranking | Columns: _id (string), title (string), text (string) | [
"text-retrieval"
] |
powertronglobal/powertron-global-permafrost-corpus | Columns: chunk_id (string), doc_id (string), slug (string), sequence (int64), text (string), tokens (int64), chars (int64), pages (?), section (string), prev_id (string), next_id (string), content_hash (string) | [
"question-answering",
"text-generation"
] |
Qurtana/openo1-sft-orpo | Columns: prompt (string), accepted (string), rejected (string), _original_idx (int64) | [
"text-generation"
] |
Pradeep016/career-guidance-qa-dataset | Columns: role (string), question (string), answer (string) | [
"question-answering"
] |
OneIG-Bench/OneIG-Bench | Columns: category (string), id (string), prompt_en (string), type (string), prompt_length (string), class (string) | [
"text-to-image"
] |
shubhamg20/custom_three_tasks | Columns: exterior_image_1_left (Image), wrist_image_left (Image), joint_position (List), gripper_position (float32), actions (List), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64) | [
"robotics"
] |
navaneeth005/RAG_meals | Columns: id (string), goal (string), plan (Sequence), total_calories (int64), macro_split (?) | [
"feature-extraction",
"question-answering"
] |
ahmedjaved812/urdu-tts-corpus | Columns: hash_id (string), text (string), audio (Audio), duration_ms (int64), speaker_embeddings (List), src (string) | [
"text-to-speech"
] |
hysong/MentalBench | Columns: type (string), code (string), model (string), id (string), question (string), option (string), answer (string) | [
"question-answering"
] |
VisualCloze/Graph200K | Columns: ref (Image), target (Image), quality_assessment (?), description (?), collection (string), InstantStyle_image_0 (Image), InstantStyle_ref_0 (Image), InstantStyle_image_1 (Image), InstantStyle_ref_1 (Image), InstantStyle_image_2 (Image), InstantStyle_ref_2 (Image), ReduxStyle_image_0 (Image), ReduxStyle_ref_0 (... | [
"image-to-image"
] |
recursal/Fanatic-Fandom | Columns: text (string), meta (?) | [
"fill-mask",
"text-generation"
] |
AI4Protein/GO_MF | Columns: name (string), aa_seq (string), label (string) | [
"text-classification"
] |
maum-ai/CostNav-Teleop-Dataset | Columns: recording_dir (string), metadata_path (string), mcap_files (string), start_time_utc (string), end_time_utc (string), start_time_kst (string), end_time_kst (string), duration_seconds (float64), duration_hms (string), message_count (int64), episode_success (string), food_cam (string) | [
"robotics"
] |
BenjaminOcampo/ISHate | Columns: message_id (string), text (string), cleaned_text (string), source (string), hateful_layer (string), implicit_layer (string), subtlety_layer (string), implicit_props_layer (Sequence), aug_method (string), target (string) | [
"text-classification"
] |
THU-KEG/Arena-Write | Columns: question (string), type (string), length (int64), baseline_response (string), idx (int64) | [
"text-generation"
] |
moss-vector-714/GeoFidelity-Bench | Columns: image (Image), label (ClassLabel) | [
"image-classification",
"text-to-image"
] |
abatilo/myanimelist-embeddings | Columns: title (string), id (int64), synopsis (string), alternative_titles (?), embedding (Sequence) | [
"summarization",
"text-classification"
] |
shylee/so100_pengripB | Columns: action (Sequence), observation.state (Sequence), timestamp (float32), frame_index (int64), episode_index (int64), index (int64), task_index (int64) | [
"robotics"
] |
semi-truths/Semi-Truths | Columns: __key__ (string), __url__ (string), png (Image) | [
"image-classification"
] |
idoaidan/lending-club-eda | Columns: interest_rate (float64), grade (string), annual_income (float64), debt_to_income (float64), emp_length (float64), loan_amount (int64), term (int64), homeownership (string), verified_income (string), loan_purpose (string), inquiries_last_12m (int64), total_credit_limit (int64), total_credit_utilized (int64), to... | [
"tabular-regression"
] |
SoAp9035/everyday-conversations-tur | Columns: conversations (?) | [
"text-generation"
] |
david-thrower/HelixLM-medium-1500.0Mt-2988750pt-20260528 | Columns: text (string), source (string) | [
"text-generation"
] |
friedrichor/DiDeMo | Columns: video (string), caption (string), source (string) | [
"text-retrieval",
"text-to-video",
"video-classification"
] |
LiruiZhao/OABench | Columns: __key__ (string), __url__ (string), jpg (Image) | [
"image-to-image"
] |
lainmn/AssistedDS-Synthetic | Columns: id (int64), age (float64), bmi (float64), exercise (int64), blood_pressure (float64), gender (int64), diabetes (int64) | [
"tabular-classification",
"tabular-regression"
] |
pranay27sy/maritime_documents_tags_classification | Columns: instruction (string), input (string), output (string) | [
"text-classification"
] |
hapitz/yanto991 | Columns: image_path (string), bbox (List), text (string), category (string), id (string) | [
"image-to-text"
] |
HeshamHaroon/saudi-dialect-conversations | Columns: messages (List), scenario (string), topic (string), complexity (string), english_summary (string) | [
"text-generation"
] |
nlp-thedeep/humset | Columns: entry_id (string), lead_id (string), project_id (string), lang (string), n_tokens (int64), project_title (string), created_at (string), document (string), excerpt (string), sectors (Sequence), pillars_1d (Sequence), pillars_2d (Sequence), subpillars_1d (Sequence), subpillars_2d (Sequence) | [
"text-classification",
"text-retrieval",
"token-classification"
] |
minuzero/VideoKR-Eval | Columns: video_path (string), question (string), option (List), solution (string), dataset (string), problem_type (string), source (string) | [
"video-text-to-text",
"visual-question-answering"
] |
neuralchemy/prompt-injection-dataset-categorized | Columns: text (string), ambiguity (bool) | [
"text-classification"
] |
GreenNode/toxic-conversations-50k-vn | Columns: text (string), label (int64), label_text (string), og_text (string) | [
"text-classification"
] |
tahamajs/bitcoin-investment-advisory-dataset | Columns: instruction (string), input (string), output (string), date (string), quality_score (float64) | [
"question-answering",
"text-generation"
] |
mteb/mlsum | Columns: text (string), summary (string), topic (string), url (string), title (string), date (string) | [
"text-classification"
] |
prithivMLmods/Open-Omega-Atom-1.5M | Columns: problem (string), solution (string) | [
"text-generation"
] |
MasterBeeee/REVERIE-Plus | Columns: messages (List), images (List) | [
"image-to-text",
"visual-question-answering"
] |
jaeha-choi/TickTockVQA | Columns: ampm (string), attribution_required (bool), clock_type (string), commercial_use (bool), design (List), environment (string), hour (int64), image_hash (string), image_name (string), image_path (string), license (string), license_notes (string), license_type (string), license_url (string), minute (int64), redist... | [
"visual-question-answering"
] |
U4RASD/ArSRED | Columns: text (string), relations (string) | [
"token-classification"
] |
yashassnadig/wikimovies | Columns: id (int64), title (string), movie_url (string), year (float64), source_url (string), table_data (string), info (string), imdb_id (string), created_at (string) | [
"summarization",
"text-classification",
"text-generation"
] |
ASLP-lab/MSU-Benchmark | Columns: uid (string), scenario (string), media_type (string), language (string), tier (int64), dimension (string), task (string), task_zh (string), level (string), qa_length (string), movie (string), part (string), question (string), question_type (string), options (List), answer (string), answer_text (string), audio ... | [
"audio-classification",
"question-answering"
] |
legacy-datasets/allegro_reviews | Columns: text (string), rating (float32) | [
"text-classification"
] |
mteb/AlloProfClusteringP2P.v2 | Columns: sentences (string), labels (int64) | [
"text-classification"
] |
laion/moss-character-voices-bestof64 | Columns: group_uid (string), character (string), lang (string), topic (string), text (string), instruction (string), flac_key (string), seed (int64), rank (int64), reward (float64), char (float64), char_emo (float64), blend (float64), genu (float64), invwer (float64), dur (float64), hyp (string), dims_json (string), em... | [
"audio-classification",
"text-to-speech"
] |
minhxthanh/Vietnam-History-500K-Vi | Columns: messages (List) | [
"question-answering",
"text-generation"
] |
ProCreations/grug-35b-v2-train-v21 | Columns: id (string), source (string), loss_mode (string), train_last_only (bool), tools (List), messages (List) | [
"text-generation"
] |
owkin/nct-crc-he | Columns: image (Image), label (ClassLabel) | [
"image-classification"
] |
Luobots/BlueMO | Columns: source_file (string), problem_type (string), problem (string), solution (string), remark (string), figures (List) | [
"question-answering",
"text-generation"
] |
Monor/hwtcm | Columns: instruction (string), input (string), output (string) | [
"question-answering"
] |
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