datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pile_pythonmega-precision-image-video
Mega Precision Image & Video Dataset
Description
A high-quality dataset for training image and video generation models with ultra-detailed prompts, technical parameters, and quality metrics.
Content
10,000,000 examples
4 categories: image prompts, video prompts, technical parameters, quality metrics
English language
Categories
Category
Description
%
Image Prompts
Ultra-detailed prompts for image generation
30%
Video… See the full description on the dataset page: https://huggingface.co/datasets/Lelonthecodeur/mega-precision-image-video.red_block_precision-multicolour_block_pick_placeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 200,
"total_frames": 107306,
"total_tasks": 4,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:200"
},
"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/justintiensmith/red_block_precision-multicolour_block_pick_place.BrainStorm2026-Track1rollout_smolvla_precision-pen-placementThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/Qiu-Xinchuan/rollout_smolvla_precision-pen-placement.red_block_precisionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 100,
"total_frames": 54547,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:100"
},
"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/justintiensmith/red_block_precision.rollout_act_precision-pen-placementThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/Qiu-Xinchuan/rollout_act_precision-pen-placement.pile_cppso101_grey_cylinder_blue_cup_currentcal_precision_replacements7_strict_v1_20260811This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 7,
"total_frames": 5509,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:7"
},
"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/DylanSh/so101_grey_cylinder_blue_cup_currentcal_precision_replacements7_strict_v1_20260811.piper_precision_eeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "piperx_left_eef_6d",
"total_episodes": 50,
"total_frames": 25969,
"total_tasks": 1,
"total_videos": 50,
"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/axiboai/piper_precision_ee.so101_grey_cylinder_blue_cup_currentcal_precision_topup16_strict_v2_20260811This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 16,
"total_frames": 12876,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:16"
},
"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/DylanSh/so101_grey_cylinder_blue_cup_currentcal_precision_topup16_strict_v2_20260811.precision-assemblyThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 160,
"total_frames": 165660,
"total_tasks": 1,
"total_videos": 320,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:160"
},
"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/CrazyYhang/precision-assembly.Precision2_20260626_111154This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"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/AnonymousMouse404/Precision2_20260626_111154.piper_precision_jointThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "piperx_left_joint",
"total_episodes": 50,
"total_frames": 25969,
"total_tasks": 1,
"total_videos": 50,
"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/axiboai/piper_precision_joint.so101_grey_cylinder_blue_cup_currentcal_precision_topup16_v1_20260811This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 5,
"total_frames": 4082,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:5"
},
"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/DylanSh/so101_grey_cylinder_blue_cup_currentcal_precision_topup16_v1_20260811.Precision_20260626_110804This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"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/AnonymousMouse404/Precision_20260626_110804.Synthetic-Data-for-Precision-Gauge-Reading
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/KhoaUIT/Synthetic-Data-for-Precision-Gauge-Reading.TREC_Precision-Medicine
TREC Precision Medicine (2017, 2018 and 2019)
Links
Homepage:
TREC
Paper:
2017 / 2018 / 2019 / 2020
Contact (Original Authors):
Kirk Roberts (Kirk.Roberts@uth.tmc.edu )
Contact (Curator):
Artur Guimarães (artur.guimas@gmail.com)
Dataset Summary
This track focused on oncologists looking for evidence-based treatment literature and clinical trials.
Data Instances
Source Format
{
"query_id":"1",
"disease":"melanoma"… See the full description on the dataset page: https://huggingface.co/datasets/araag2/TREC_Precision-Medicine.africa-synth-agriculture-precision-iot-nigeria
Africa Synth Agriculture Precision Iot Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet - Sector: agriculture_food - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-agriculture-precision-iot-nigeria.PrecisionPNPThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"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/AnonymousMouse404/PrecisionPNP.so101_act_red_box_v5_precisionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 20,
"total_frames": 6945,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:20"
},
"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/Terra11113/so101_act_red_box_v5_precision.faithfulness-precision-spl-context-gpt-benchmarkingrollout_pi05_precision-pen-placementcontext-precision-ragasrollout_new_test_wallx_precision-pen-placementfnbm-current-gt-motif-effects-precision-20260729
fnbm-current-gt-motif-effects-precision-20260729
Recovery of planted motif effects after de-duplication, scored against simulation ground truth. Effect sizes are the OLS slope of each motif family's post-clustering per-example contribution on the motif's true occurrence count -- the same units as the simulator's beta, and invariant to the de-duplication pipeline's internal gauge. Per-example contribution MSE is computed on centered contributions over the validation split. See… See the full description on the dataset page: https://huggingface.co/datasets/arushram/fnbm-current-gt-motif-effects-precision-20260729.BrainStorm2026-track2pile_jsgsm8k-question-precision-levels
GSM8K Question Precision Levels
198 GSM8K problems, each stated at three levels of question precision, all
sharing one correct answer.
Field
Meaning
level_2
Original GSM8K question, unchanged
level_1
level_2 with exactly one span removed from the question sentence
level_0
A short model-written rewrite of the task
answer
Numeric ground truth, the same for all three levels
solution
Original GSM8K worked solution
removal_type
Which kind of removal produced… See the full description on the dataset page: https://huggingface.co/datasets/busycaesar/gsm8k-question-precision-levels.faithfulness-precision-spl-prompt-gpt-benchmarking