datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smol-liberoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 13021,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/jadechoghari/smol-libero.smol-libero2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 13021,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/jadechoghari/smol-libero2.smol-liberoThis dataset was created using LeRobot.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from two fixed cameras
Two types of robot state (end-effector pose + gripper, and full 7-DoF… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceVLA/smol-libero.smol-libero-v3
This is a converted to v3 smol-libero dataset: https://huggingface.co/datasets/HuggingFaceVLA/smol-libero
license: apache-2.0
portuguese-eval-logs-olmo2-smollm3
Evaluation Logs on Portuguese Benchmarks for OLMo-2 and SmolLM3
These logs contain benchmark results across a suite of Portuguese-language tasks. The data consists of recordings of the performance of various 3 different models at different checkpoints throughout their pretraining runs:
SmolLM3
OLMo-2-0425-1B
OLMo-2-1124-7B
Splits
Each split (smollm3_3b, olmo2_1b, olmo2_7b) contains rows for model checkpoints and columns for benchmark scores (e.g., ASSIN2 RTE, ENEM… See the full description on the dataset page: https://huggingface.co/datasets/Polygl0t/portuguese-eval-logs-olmo2-smollm3.smol-libero-donesmol-libero-v30This dataset was created using LeRobot.
It is a converted version of HuggingFaceVLA/smol-libero, updated from codebase_version v2.1 to v3.0.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.
At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from… See the full description on the dataset page: https://huggingface.co/datasets/eunyoung927/smol-libero-v30.smol-libero1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 50,
"total_frames": 13021,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": null,
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/jadechoghari/smol-libero1.smol-liberoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 13021,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/yichat/smol-libero.smol-liberoThis dataset was created using LeRobot.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from two fixed cameras
Two types of robot state (end-effector pose + gripper, and full 7-DoF… See the full description on the dataset page: https://huggingface.co/datasets/hauvietnam/smol-libero.smol-liberoThis dataset was created using LeRobot.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from two fixed cameras
Two types of robot state (end-effector pose + gripper, and full 7-DoF… See the full description on the dataset page: https://huggingface.co/datasets/ssangjunpark/smol-libero.smol-liberoThis dataset was created using LeRobot.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from two fixed cameras
Two types of robot state (end-effector pose + gripper, and full 7-DoF… See the full description on the dataset page: https://huggingface.co/datasets/lnxdre4d/smol-libero.smol-libero_lamThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 50,
"total_frames": 13021,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null,
"features": {
"observation.images.image": {
"dtype": "image"… See the full description on the dataset page: https://huggingface.co/datasets/nikriz/smol-libero_lam.SmolLM_Emotion_Dataset
