datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.nyc-restaurant-artifactsYOYO-AI__Qwen2.5-7B-it-restore-details
Dataset Card for Evaluation run of YOYO-AI/Qwen2.5-7B-it-restore
Dataset automatically created during the evaluation run of model YOYO-AI/Qwen2.5-7B-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.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/YOYO-AI__Qwen2.5-7B-it-restore-details.eval-baselines-mit_restaurant
mit_restaurant — NER baselines (Stanford CoreNLP CRF, DeBERTa-v3-base, DistilBERT-base)
dataset: quynong/mit_restaurant (8 nhan), eval tren split test
HF baselines: 5 epochs, batch 16, seeds [42, 43, 44]
corenlp: 1 lan train (CRF deterministic, khong seed)
Ket qua (P/R/F1 %, HungarianEvaluator IoU>=0.5 hoac fuzzy)
baseline
n
micro F1
macro F1
micro P
micro R
corenlp
0
84.95
83.67
87.17
82.83
deberta-v3-base
3
88.39 +/- 0.56
87.49 +/- 0.84
86.75
90.1… See the full description on the dataset page: https://huggingface.co/datasets/AITeamUIT/eval-baselines-mit_restaurant.rest-v3
rest-v3
rest-v3 is an English text-rewriting dataset for supervised fine-tuning of a humanizing editor. Each record asks a model to rewrite a source text while preserving its meaning and contains a detector-verified natural-language rewrite.
Dataset composition
The training split contains 1,116 JSONL records:
1,033 newly mined, on-policy rewrites from the from-final-best generator checkpoint.
83 compatible existing verified examples.
541 examples sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/danilxyz/rest-v3.nemotron_restricted_Final-activationsDavidAU__Gemma-The-Writer-N-Restless-Quill-10B-Uncensored-details
Dataset Card for Evaluation run of DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored
Dataset automatically created during the evaluation run of model DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DavidAU__Gemma-The-Writer-N-Restless-Quill-10B-Uncensored-details.yelp-review-restaurant-aspect
Dataset Description
Source
This dataset is derived from a publicly available Yelp restaurant review dataset.
Domain
Restaurant reviews.
Subset
The dataset contains 6,000 Yelp restaurant reviews randomly sampled from a larger corpus and annotated for six predefined restaurant sentiment aspects: food, service, ambience, cleanliness, location, and price.
Size
Number of records: 6,000 reviews
Number of labels: 6 aspects
Labels… See the full description on the dataset page: https://huggingface.co/datasets/manmanluo/yelp-review-restaurant-aspect.eval-gliner2-ner-mit_restaurant-lossablation
mit_restaurant — loss ablation (5 config x 3 seed)
base model: fastino/gliner2-multi-v1
dataset: quynong/mit_restaurant (8 nhan), eval tren split test
train: 6 epochs, batch 16, early-stopping patience 2, seeds [42, 43, 44]
eval: --threshold 0.7 --use-desc --schema-case original --no-extra-val (giong nhau cho ca 5 config)
Ket qua (micro F1 %, mean +/- std tren seed)
mode
config
n seeds
micro F1
macro F1
micro P
micro R
lenient
bce
3
88.69 +/- 0.20… See the full description on the dataset page: https://huggingface.co/datasets/AITeamUIT/eval-gliner2-ner-mit_restaurant-lossablation.uk-thai-restaurants
UK Thai Restaurant Database 🇹🇭🇬🇧
1,594 Thai restaurants across 253 UK cities and towns — with hygiene ratings, geolocation, and business classification.
Sourced weekly from the Food Standards Agency (FSA) official registers — the same data used by Google, Deliveroo, and UK local authorities.
🔗 Live Site
ThaiData UK — free business intelligence tools for Thai restaurant operators
API — machine-readable JSON endpoint
MCP Server — AI agents can query this data… See the full description on the dataset page: https://huggingface.co/datasets/swifttiger/uk-thai-restaurants.Yelp-Restaurantsnyc-restaurant-artifactsRestaurant_Review_LLMs_Annotation