datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
R2E-Gym-LiteR2E-Gym-V1R2E-Gym-SubsetR2E-Gym-Subset-Verified
R2E-Gym-Subset-Verified
Gold-patch-validated subset of
R2E-Gym/R2E-Gym-Subset
(paper). The train split contains
4,522 / 4,578 rows (98.78%) verified scoreable end-to-end: apply the gold patch, run the
upstream /testbed/run_tests.sh baked into the row's image, check the parsed outcomes against
expected_output_json.
Changes vs upstream
Validation-only subset — our passes, run in fresh sandboxes per row: one full pass at
concurrency 200, then a 10× retry pass over… See the full description on the dataset page: https://huggingface.co/datasets/PrimeIntellect/R2E-Gym-Subset-Verified.CUA-Gym
CUA-Gym
CUA-Gym is a collection of verifiable computer-use agent tasks for reinforcement learning with verifiable rewards (RLVR). Each task pairs a natural-language instruction with executable setup artifacts and a Python reward function that checks task completion programmatically. For details, see the paper CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents.
This release contains the full public CUA-Gym task set after the necessary data review.… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/CUA-Gym.R2E-Gym-Full
R2E-Gym Subset Filtered for MAGRPO
Filtered subset of R2E-Gym optimized for 2-agent MAGRPO training with 7B models.
Dataset Statistics
Total instances: 167
Format: Issue description + Oracle files in prompt
Optimized for: 2-agent collaboration, 7B models
Filtering Criteria (SWE-bench Lite Style)
Problem statement: >40 words (up to 500 for context window)
Must have non-empty oracle patch (non-test file changes)
File count: Exactly 1 oracle file (single-file… See the full description on the dataset page: https://huggingface.co/datasets/ryankamiri/R2E-Gym-Full.R2E-Gym-Collabswe_doc_gen_all_func_SWE-Gym_trainR2E-Gym-Subset-OracleMuse-Glimmer-SWE-Gym-2k
Muse-Glimmer-SWE-Gym-2k
Agentic coding traces from meta-models/Muse-Glimmer-30B, recorded for training a
speculative-decoding drafter. 1,981 mini-swe-agent trajectories over SWE-Gym and
SWE-bench-extra instances, and the 159,999 individual chat-completion calls behind them.
Configs
Config
Rows
Size
What it is
train
1,981
57 MB
One row per trajectory: the full conversation as messages.
raw
159,999
2.7 GB
One row per recorded API call: request and… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-SWE-Gym-2k.R2E-Gym-Subsethil_gym0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 30,
"total_frames": 2951,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:30"
},
"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/joechin/hil_gym0.Gym_Salesman_Dataset
Gym Salesman Dataset
11,997 synthetic gym-membership sales conversations, each labelled SUCCESS or FAILURE.
🔗 Project Links
| Live App — practice against an AI customer | Hugging Face Space |
| Telegram Bot — practice on the go | @ido_salescoach_bot |
| Dataset — 11,997 labelled conversations | elg4/Gym_Salesman_Dataset |
| Data Generation — how the data was built | notebook |
| Recommendation — the embedding retriever | notebook |
Every conversation is a… See the full description on the dataset page: https://huggingface.co/datasets/elg4/Gym_Salesman_Dataset.R2E-Gym-Lite-Truncate-7B-Fixedyash-gym-tabular-dataset
Yash Gym Tabular Dataset
Dataset Summary
This dataset contains information on 30 unique gym machines with 5 consistent features and a binary target (Upper/Lower).It includes:
original: 30 manually collected samples
augmented: ~300 synthetic samples created with jitter, SMOTE-NC, MixUp, and CTGAN.
Intended Use
Educational dataset for tabular ML tasks, demonstrating preprocessing + augmentation.Not suitable for prescribing exercise or medical advice.… See the full description on the dataset page: https://huggingface.co/datasets/ysakhale/yash-gym-tabular-dataset.R2E-Gym-Subset-contextNano-SFT-SWE-Gym-gemini-2.5-flashhil-gym2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 9019,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/nsimonato25/hil-gym2.il_gymThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"features": {
"action": {
"dtype": "float32",
"shape": [
4
],
"names": [
"delta_x",
"delta_y",
"delta_z",
"gripper"
]
},
"next.reward": {
"dtype": "float32"… See the full description on the dataset page: https://huggingface.co/datasets/ChiChiHu/il_gym.multilingual-reasoning-gym-sft
Reasoning Gym SFT Dataset
This dataset contains Supervised Fine-Tuning (SFT) reasoning data procedurally generated using Reasoning Gym environments.
It is designed to train reasoning models (such as DeepSeek-R1-style or Qwen-Coder-style models) to explain their step-by-step reasoning chain before outputting a final answer wrapped inside LaTeX \boxed{...}.
Where Does This Dataset Come From?
This dataset is procedurally generated from Reasoning Gym, an open-source… See the full description on the dataset page: https://huggingface.co/datasets/MauroPello/multilingual-reasoning-gym-sft.gym-soarm-pap-v0.4.0_oldThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "gym_soarm",
"total_episodes": 10,
"total_frames": 3669,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"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/masato-ka/gym-soarm-pap-v0.4.0_old.gym-peg-insertion-triangle-no-ftThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ur5",
"total_episodes": 100,
"total_frames": 15172,
"total_tasks": 1,
"total_videos": 300,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:100"
},
"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/hainh22/gym-peg-insertion-triangle-no-ft.gym-peg-insertion-square-w-ftThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ur5",
"total_episodes": 49,
"total_frames": 12164,
"total_tasks": 1,
"total_videos": 49,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:49"
},
"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/hainh22/gym-peg-insertion-square-w-ft.gym_hil_desk_cleanup_gamepadThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"features": {
"action": {
"dtype": "float32",
"shape": [
4
],
"names": [
"delta_x",
"delta_y",
"delta_z",
"gripper"
]
},
"next.reward": {
"dtype": "float32"… See the full description on the dataset page: https://huggingface.co/datasets/hungdo2401/gym_hil_desk_cleanup_gamepad.il_gym_0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 30,
"total_frames": 889,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:30"
},
"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/JulienStocker/il_gym_0.gym-soarm-pick-and-place-sampleThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "gym_soarm",
"total_episodes": 20,
"total_frames": 6526,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"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/masato-ka/gym-soarm-pick-and-place-sample.R2E-Gym-Lite-Truncate-7Bil_gymThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 30,
"total_frames": 1300,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:30"
},
"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/JulienStocker/il_gym.gym-so100experiment2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 16,
"total_frames": 7857,
"total_tasks": 1,
"total_videos": 16,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:16"
},
"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/attilczuk/gym-so100experiment2.swe_doc_gen_all_func_SWE-Gym_train_sampled500