datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
XDof-TshirtFolding-20hours-normalizedOpenThoughts-114k-math-correct-qwen3-14b-math-prepared-topk128-normalizedOpenThoughts-114k-math-correct-qwen3-14b-math-prepared-normalizedlichess-stockfish-normalized
Lichess Chess Positions: ML-Ready Deduplicated Evaluations
Dataset Description
A curated dataset of 316,072,343 unique chess positions with Stockfish evaluations, optimized for training neural networks. This is a deduplicated, ML-ready version of the Lichess evaluation database.
Why This Dataset?
While Lichess provides deduplicated evaluations in JSONL.zst format, and HuggingFace hosts the full (non-deduplicated) version, this dataset offers:
Unique advantages:… See the full description on the dataset page: https://huggingface.co/datasets/mateuszgrzyb/lichess-stockfish-normalized.VFD_normalize_9_v1meld-open-normalized
MELD Open (Normalized)
MELD is a multilingual and multi-domain dataset for Named Entity Recognition (NER) constructed from 60 existing datasets. It includes gold-standard annotations across 60 languages and 14 domains. This dataset is a subset of 43 datasets for which licenses permit the redistribution of data in a new format. See the MELD GitHub repository for more details.
Note: This version of MELD Open uses normalized labels. For original labels from each source dataset, use… See the full description on the dataset page: https://huggingface.co/datasets/kgnlp/meld-open-normalized.CartonPickNPlace2Target-normalizedgalaxea-r1-shelf-10ep-normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 11,
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Yiheyihe/galaxea-r1-shelf-10ep-normalized.VFD_normalize_9OpenThoughts-114k-math-correct-qwen3-14b-math-prepared-topk256-normalizedgalaxea-r1-shelf-full-normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Yiheyihe/galaxea-r1-shelf-full-normalized.business-entity-resolution-normalized
Business Entity Resolution: normalised records
Normalised copies of the six source files of the ML Challenge 2026 Business Entity Resolution task
(business records from three sources, US / India in train, plus France in test).
The goal of the task is to find, for every Source 1 record, the Source 2 / Source 3 records that describe the same business.
File
Rows
train_s1.parquet
2,206,821
train_s2.parquet
5,034,616
train_s3.parquet
5,285,603
test_s1.parquet
1,732… See the full description on the dataset page: https://huggingface.co/datasets/vc940/business-entity-resolution-normalized.hilserl_normalized_ee_deltaThis dataset was created using LeRobot.
Dataset Structure
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/benmayeux/hilserl_normalized_ee_delta.alljoined-normalized-subjectMathlib-Normalized-Sexpr
Mathlib Normalized S-Expressions
Lean 4 proof states from Mathlib, paired with the tactic applied at each
step, in three representations extracted directly from the Lean kernel:
Source-faithful S-expressions of the goal and every hypothesis, as
Lean elaborated them.
Normalized S-expressions of the same state, with stable local-context
indices suitable for model input.
Annotated tactic syntax -- the original tactic's syntax tree with
identifier leaves resolved to the constants… See the full description on the dataset page: https://huggingface.co/datasets/jajostrains/Mathlib-Normalized-Sexpr.VFD_normalize_5dagw-word-frequencies-normalized-by-domain
Dataset Card for DAGW Word Frequencies (normalized)
Paper: Derczynski, L., Ciosici, M. R., Baglini, R., Christiansen, M. H., Dalsgaard, J. A., Fusaroli, R., ... & Varab, D. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa) (pp. 413-421).
Point of Contact: Kenneth Enevoldsen (Kennethcenevoldsen (at) gmail (dot) com )
This is a list of word frequencies derived from the Danish Gigaword (collected before… See the full description on the dataset page: https://huggingface.co/datasets/chcaa/dagw-word-frequencies-normalized-by-domain.galaxea-r1-shelf-debug-normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Yiheyihe/galaxea-r1-shelf-debug-normalized.PAID-recipes-normalizedtest_community_normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {
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"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/CarolinePascal/test_community_normalized.test_community_normalized_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/CarolinePascal/test_community_normalized_1.place_spam_into_the_white_box_30hz_normalizedThis dataset was created using LeRobot.
Dataset Structure
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],
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"height",
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],
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"is_depth_map":… See the full description on the dataset page: https://huggingface.co/datasets/oms524/place_spam_into_the_white_box_30hz_normalized.galaxea-r1-shelf-1ep-normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Yiheyihe/galaxea-r1-shelf-1ep-normalized.rq2-push-red-block-100-hsv-sam-normalizedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/martonbodo/rq2-push-red-block-100-hsv-sam-normalized.rq4-pap-four-objects-275-hsv-sam-half-seed42-normalizedThis dataset was created using LeRobot.
Dataset Structure
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"splits": {
"train": "0:275"
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/martonbodo/rq4-pap-four-objects-275-hsv-sam-half-seed42-normalized.rq2-pap-red-block-100-hsv-sam-normalizedThis dataset was created using LeRobot.
Dataset Structure
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/martonbodo/rq2-pap-red-block-100-hsv-sam-normalized.r1-pick-cup-stand-5x10eps-normalizedThis dataset was created using LeRobot.
Dataset Structure
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"splits": {
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},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ywlin/r1-pick-cup-stand-5x10eps-normalized.push-final-four-objects-400-cutie-normalizedThis dataset was created using LeRobot.
Dataset Structure
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"splits": {
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/martonbodo/push-final-four-objects-400-cutie-normalized.pap-final-four-objects-550-cutie-normalizedThis dataset was created using LeRobot.
Dataset Structure
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"splits": {
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/martonbodo/pap-final-four-objects-550-cutie-normalized.Disaster-Tweets-Normalized