datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
demo_insert_connector_from_rest_dag1_centerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 51,
"total_frames": 14166,
"total_tasks": 1,
"total_videos": 204,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:51"},
"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/1g0rrr/demo_insert_connector_from_rest_dag1_center.agibot-sim-clear-table-in-the-restaurantThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "a2d",
"total_episodes": 102,
"total_frames": 84901,
"total_tasks": 1,
"total_videos": 306,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30.0,
"splits": {
"train": "0:102"
},
"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/bot-pi/agibot-sim-clear-table-in-the-restaurant.demo_insert_connector_from_rest_dag3_centerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 101,
"total_frames": 28225,
"total_tasks": 1,
"total_videos": 404,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:101"},
"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/1g0rrr/demo_insert_connector_from_rest_dag3_center.rest-code-tracingagibot-sim-restock-supermarket-itemsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "a2d",
"total_episodes": 1,
"total_frames": 680,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30.0,
"splits": {
"train": "0:1"
},
"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/bot-pi/agibot-sim-restock-supermarket-items.demo_insert_connector_from_rest_centerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 53,
"total_frames": 14283,
"total_tasks": 1,
"total_videos": 212,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:53"
},
"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/1g0rrr/demo_insert_connector_from_rest_center.qwen3_4b_restricted_Final-activationswhatscooking.restaurants
Whatscooking.restaurants
Overview
This dataset provides detailed information about various restaurants, including their location, cuisine, ratings, and other attributes. It is particularly useful for applications in food and beverage industry analysis, recommendation systems, and geographical studies.
Dataset Structure
Each record in the dataset represents a single restaurant and contains the following fields:
_id: A unique identifier for the restaurant… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/whatscooking.restaurants.China-Halal-Restaurant
China Halal Restaurant Dataset (RAG Optimized) 🕌
This is a rigorously formatted Chinese Halal Restaurant corpus containing 201 authentic articles and travel guides. It is explicitly optimized for Retrieval-Augmented Generation (RAG) and pure text indexing. The data was explicitly designed to pass Hugging Face's Dataset Viewer standards natively by using optimal Parquet partitioning.
[!TIP]
Human Readers: Looking for the full text with all images perfectly rendered? Navigate to… See the full description on the dataset page: https://huggingface.co/datasets/qurancn/China-Halal-Restaurant.Bangladeshi-Restaurant-Datasouslab-us-restaurant-menus
Souslab — US Restaurant Menus
A structured sample of the Souslab US restaurant menu dataset: real restaurants, real menu items, real prices — normalized into a clean schema you can train on or analyze directly.
This sample is published openly under CC-BY-NC-4.0 for research and non-commercial evaluation. The full dataset — 449,000+ US restaurants and 44.3M+ menu items, refreshed continuously with chain-level aggregation — is available via the Souslab API under commercial… See the full description on the dataset page: https://huggingface.co/datasets/AnyStackLabsdev/souslab-us-restaurant-menus.NL_restaurant_reviews
Dataset overview
This is a dataset that contains restaurant reviews gathered in 2019 using a webscraping tool in Python. Reviews on restaurant visits and restaurant features were collected for Dutch restaurants.
The dataset is formatted using the 🤗DatasetDict format and contains the following indices:
train, 116693 records
test, 14587 records
validation, 14587 records
The dataset holds both information of the restaurant level as well as the review level and contains the… See the full description on the dataset page: https://huggingface.co/datasets/cmotions/NL_restaurant_reviews.semeval2014_restaurants
Dataset Card for "semeval2014_restaurants"
More Information needed
abhijitdahatonde_zomato-restaurants-dataset
Zomato Restaurants Dataset
Zomato Restaurant Data Collection!
Dataset Info
Source: Kaggle
Original Size: 0.18 MB
Kaggle Downloads: 9,092
Files: 1
Files
zomato.csv
Mirrored from Kaggle
qsim-shelf-restocking-mujoco-300-lerobot
Qsim Shelf Restocking — LeRobot v2.1
300 successful simulated shelf-restocking episodes, converted from
the original Qsim HDF5 dataset
to LeRobot v2.1 for the current Q-research / OpenPI training stack.
600 successful placements: 297 with the left arm, 303 with the right arm.
300 placements on the middle shelf and 300 on the top shelf.
542,518 state/action rows at 50 Hz, about 3.01 hours of trajectories.
Three 320 × 240 RGB cameras: robot head (context), left wrist, right… See the full description on the dataset page: https://huggingface.co/datasets/qualiadev/qsim-shelf-restocking-mujoco-300-lerobot.Yelp-Restaurant-Datasetleader-training-swe-gym-restdemo_insert_connector_from_rest_dag2_centerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 51,
"total_frames": 14709,
"total_tasks": 1,
"total_videos": 204,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:51"},
"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/1g0rrr/demo_insert_connector_from_rest_dag2_center.pbs_item_restriction_relationshipsareumii-real-pickplace-v2-greenleft_20260905_191459_restThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_shoulder_pitch.pos",
"left_shoulder_roll.pos",
"left_shoulder_yaw.pos",
"left_elbow.pos",
"left_wrist_roll.pos",
"left_wrist_yaw.pos"… See the full description on the dataset page: https://huggingface.co/datasets/1ys1/areumii-real-pickplace-v2-greenleft_20260905_191459_rest.qsim-shelf-restocking-mujoco-300
Qsim MuJoCo Shelf Restocking
300 seeded synthetic shelf-restocking episodes with the stock bimanual OpenArm
robot, physical gripper contacts, smooth scripted motion, and synchronized robot
head and wrist camera observations.
Release status: complete — 300/300 episodes passed the task and dataset checks.
600 placements; 542,518 observation/action samples; 108,640 RGB frames per camera; 3.01 hours of simulated trajectories; 9.68 GB of HDF5 episodes.
Arm selections: {'left': 297… See the full description on the dataset page: https://huggingface.co/datasets/qualiadev/qsim-shelf-restocking-mujoco-300.pause6-res0-restag.r-1.0-k-8.statml-arxiv-llama32-L1024pbs_restrictionsrestructured-glaive-function-calling-v2
Glaive Function Calling V2 (Structured)
This dataset is a cleaned and structured version of the originalGlaive Function Calling V2.
The goal of this dataset is to make the conversations easier to use for training tool-calling / function-calling language models, such as:
Llama
Qwen
Mistral
DeepSeek
other OpenAI-compatible tool calling models
The original dataset stores conversations as raw text.This version converts them into a structured message format suitable for modern LLM… See the full description on the dataset page: https://huggingface.co/datasets/muhammadravi251001/restructured-glaive-function-calling-v2.YOYO-AI__Qwen2.5-14B-it-restore-details
Dataset Card for Evaluation run of YOYO-AI/Qwen2.5-14B-it-restore
Dataset automatically created during the evaluation run of model YOYO-AI/Qwen2.5-14B-it-restore
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/YOYO-AI__Qwen2.5-14B-it-restore-details.restaurantsrestocking_multi_itemThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 361,
"total_frames": 174882,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:361"
},
"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/Fiberal/restocking_multi_item.openarm-restock-sequences-canonical-30fps-subtasks-gripper-vlm
restock-sequences-canonical-30fps
LeRobot v2.1 dataset: 226 episodes, 306218 frames at 30 fps.
Robot: openarm_bimanual
Cameras: observation.images.context, observation.images.wrist_left, observation.images.wrist_right
State/action dim: 16
Load it with the v2.1 tag, which is the revision the training path pins.
highest_and_high_vs_rest
Dataset Card for "highest_and_high_vs_rest"
More Information needed
ahmedmohamed2003_restaurant-sales-dirty-data-for-cleaning-training
Restaurant Sales-Dirty Data for Cleaning Training
Welcome to All Scientist Restaurant
Dataset Info
Source: Kaggle
Original Size: 0.23 MB
Kaggle Downloads: 5,163
Files: 1
Files
restaurant_sales_data.csv
Mirrored from Kaggle