datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Gaokao-Compass-11M
English
GaokaoCompass — China College Admission Dataset
GaokaoCompass is a structured dataset of China's national college entrance examination (Gaokao) admission records, covering all 31 provinces from 2017 to 2025. It includes enrollment plans, university admission cutoff scores, major-level admission scores, and score-ranking tables. The dataset is designed to help students, parents, and researchers make informed decisions with… See the full description on the dataset page: https://huggingface.co/datasets/ghostwyx/Gaokao-Compass-11M.GeoSeek
GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristic
Modi Jin1 · Yiming Zhang1 · Boyuan Sun1 · Dingwen Zhang2 · Mingming Cheng1 · Qibin Hou1†
1VCIP, Nankai University 2 School of Automation, Northwestern Polytechnical University
†Corresponding author
English | 简体中文
We introduce GeoSeek train GeoAgent, which is a new geolocation dataset comprising:
GeoSeek-CoT (10k): High-quality chain-of-thought data labeled by geography experts and professional… See the full description on the dataset page: https://huggingface.co/datasets/ghost233lism/GeoSeek.narit-ghosts-halo-catalogs
NARIT GHOSTS Halo Catalogs
Dataset Description
This dataset contains reduced stellar catalogs, combined FITS images, and candidate substructure catalogs from the GHOSTS (Galaxy Halos, Outer disks, Substructure, Thick disks, and Star clusters) Survey observed by the Hubble Space Telescope (HST).
It serves as the primary data lake for the automated astronomical pipeline designed to detect faint stellar substructures (like Ultra-Faint Dwarfs and stellar streams) in… See the full description on the dataset page: https://huggingface.co/datasets/appleboiy/narit-ghosts-halo-catalogs.rollouts-vla0-500ep-naive-ghost-traceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 60,
"total_frames": 100182,
"total_tasks": 12,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"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/end-effector-trace-conditioning/rollouts-vla0-500ep-naive-ghost-trace.knockdown-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 404,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"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/GhostScientist/knockdown-test.demo-experiment-two
Demo Experiment
A demo experiment to test the builder flow with various question types.
Dataset Overview
Property
Value
Run ID
036df3a6-6f8c-45fb-979d-be4f990bd0bf
Status
completed
Created
12/23/2025, 9:11:08 PM
Generator
LocalBench v0.1.0
Statistics
Metric
Value
Total Generations
10
Successful
10 (100.0%)
Failed
0
Average Latency
2803ms
Total Duration
25.2s
Configuration
Models… See the full description on the dataset page: https://huggingface.co/datasets/GhostScientist/demo-experiment-two.ghost-x__ghost-8b-beta-1608Ghostbuster-encoded-falcon-7bus-ghost-towns
US Ghost Towns
1,444 documented ghost towns across the United States, with coordinates, Wikipedia descriptions, thumbnails, and decline reasons.
Dataset Details
Each row represents one ghost town confirmed by Wikipedia's state-level ghost town categories, matched to a USGS GNIS coordinate record.
Fields
Column
Description
feature_id
USGS GNIS feature ID
name
Town name
state
2-letter state abbreviation
state_name
Full state name… See the full description on the dataset page: https://huggingface.co/datasets/meganariley/us-ghost-towns.ghostindex-benchmarks
BHMarketer GhostIndex Benchmarks
Benchmark dataset of 20 deindex detection cases with individual scores for expired content, misinformation, policy violations, violent content, and compliance risks.
Built by BHMarketer.ai powered by BHMarketer.
Dataset Description
This dataset contains benchmark data for detecting pages requiring deindexing due to expired content, misinformation, policy violations, violent content, and other compliance risks.
Columns… See the full description on the dataset page: https://huggingface.co/datasets/bhmarketer/ghostindex-benchmarks.restaurant-social-ghosts-in-utah-us-249480
Restaurant Social Ghosts in Utah, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Utah, US is a weekly‑updated collection of 92 restaurants located across Utah that combine strong culinary reputations with minimal social media exposure. Each entry represents a venue rated higher than 4.5 stars while having fewer than 100 followers on major platforms—or no social profile at all—making them prime targets for agencies seeking growth opportunities. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-utah-us-249480.restaurant-social-ghosts-in-wisconsin-us-795699
Restaurant Social Ghosts in Wisconsin, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Wisconsin, US is a weekly‑updated collection of 93 dining establishments located across the state that have earned strong customer ratings but maintain minimal or no social‑media footprint. Each entry captures the venue’s name, address, rating score, and any existing social‑media profiles (or lack thereof), making it easy to spot businesses that deliver great food yet struggle… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-wisconsin-us-795699.GhostWriterLlama-3.2-1B-resultspacman_eval_two_ghost_braidthin_random100_20260817
HF Two-Ghost braided/thinned — deterministic random 100
This is the exact 100-episode Pacman evaluation shard used for the final UWM trajectories.
Source dataset: pacman_2d_easy_g9f8_two_ghost_braidthin_oracle_success_test_v1_20260817
Sampling: Python MT19937 without replacement, seed 2026081702
Records: 100
JSONL SHA-256: fbaf50a9a9799384b2cc1daf5c4c5c7e81c3fed8a23b01cc3b5b53747f3ed034
Trajectories: https://huggingface.co/datasets/novastar111/uwm_paper_eval_trajectories… See the full description on the dataset page: https://huggingface.co/datasets/novastar111/pacman_eval_two_ghost_braidthin_random100_20260817.details_ghost-x__ghost-8b-beta-1608
Dataset Card for Evaluation run of ghost-x/ghost-8b-beta-1608
Dataset automatically created during the evaluation run of model ghost-x/ghost-8b-beta-1608.
The dataset is composed of 136 configuration, each one coresponding 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/OALL/details_ghost-x__ghost-8b-beta-1608.restaurant-social-ghosts-in-montana-us-877236
Restaurant Social Ghosts in Montana, US
Free sample dataset from BeamStation
Marketing Agency Gold. This dataset contains 30 records of high‑rated restaurants in Montana, US, each with a rating above 4.5 but minimal social media footprint—fewer than 100 followers or no social profiles at all. Updated weekly, the data highlights establishments that excel in food quality yet lack online visibility, making them prime targets for social‑media‑focused growth campaigns. Marketing agencies… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-montana-us-877236.restaurant-social-ghosts-in-maine-us-195832
Restaurant Social Ghosts in Maine, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Maine, US is a curated list of 46 high‑rated eateries (rating above 4.5) that have little to no social media presence—either fewer than 100 followers or no profiles at all. Updated weekly, the dataset captures the latest snapshot of these hidden gems across the state, providing name, location, rating, and social‑media metrics where available. Marketing agencies and consultants… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-maine-us-195832.ghost-x__ghost-8b-beta-1608-details
Dataset Card for Evaluation run of ghost-x/ghost-8b-beta-1608
Dataset automatically created during the evaluation run of model ghost-x/ghost-8b-beta-1608
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/ghost-x__ghost-8b-beta-1608-details.restaurant-social-ghosts-in-pennsylvania-us-119896
Restaurant Social Ghosts in Pennsylvania, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Pennsylvania, US is a weekly‑updated dataset that lists 552 high‑rated restaurants (rating > 4.5) located across Pennsylvania that have minimal or no social media presence (fewer than 100 followers or no profiles at all). This collection highlights establishments with strong culinary offerings but limited online visibility, making them prime targets for social‑media‑focused… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-pennsylvania-us-119896.restaurant-social-ghosts-in-illinois-us-132890
Restaurant Social Ghosts in Illinois, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Illinois, US is a weekly‑updated collection of 464 high‑rating dining establishments that currently have minimal or no social media footprint. Sourced from Illinois, the dataset flags venues with a rating above 4.5 while showing fewer than 100 followers or no detectable profiles across major platforms. Marketing agencies looking to identify untapped growth opportunities can use… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-illinois-us-132890.restaurant-social-ghosts-in-alaska-us-150899
Restaurant Social Ghosts in Alaska, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Alaska, US is a tightly curated list of three high‑performing eateries that excel in food quality but lag behind on social media. Each venue holds a rating above 4.5 stars, yet either has fewer than 100 followers across platforms or maintains no social profiles at all. Updated weekly, the dataset flags these hidden gems for marketing agencies looking to pitch growth‑focused social… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-alaska-us-150899.restaurant-social-ghosts-in-nebraska-us-178278
Restaurant Social Ghosts in Nebraska, US
Free sample dataset from BeamStation
The Restaurant Social Ghosts in Nebraska, US dataset spotlights 40 high‑rated eateries that have minimal or no social media presence. Each record represents a restaurant located somewhere in Nebraska with a rating above 4.5 stars but fewer than 100 followers—or lacking any social profiles altogether. Updated weekly, this list is ideal for marketing agencies looking to uncover hidden gems where great food… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-nebraska-us-178278.restaurant-social-ghosts-in-minnesota-us-360567
Restaurant Social Ghosts in Minnesota, US
Free sample dataset from BeamStation
This dataset lists restaurants in Minnesota that have strong customer ratings but minimal social media activity. It contains 124 records and is updated weekly, making it a reliable source for identifying establishments with great food but limited online reach. Marketing agencies and social media consultants can use this list to find prospects who would benefit from targeted growth strategies, such as… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-minnesota-us-360567.restaurant-social-ghosts-in-missouri-us-516669
Restaurant Social Ghosts in Missouri, US
Free sample dataset from BeamStation
The Restaurant Social Ghosts in Missouri dataset lists 104 eateries that earn high ratings but have little or no social‑media footprint. Each record comes from establishments in Missouri with an average rating above 4.5 stars and either fewer than 100 followers on platforms such as Facebook, Instagram, or Twitter, or no social profiles at all. Updated weekly, the data captures a snapshot of hidden… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-missouri-us-516669.restaurant-social-ghosts-in-indiana-us-340637
Restaurant Social Ghosts in Indiana, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Indiana, US is a weekly‑updated collection of 225 dining establishments that excel in food quality but have minimal or absent social‑media footprints. Each record includes the restaurant’s name, address, contact details, and any existing social‑media handles or follower counts, allowing users to spot venues with strong culinary reputations yet limited online visibility. Marketing… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-indiana-us-340637.restaurant-social-ghosts-in-illinois-us-132890-132890
Restaurant Social Ghosts in Illinois, US
Free sample dataset from BeamStation
The Restaurant Social Ghosts in Illinois dataset lists 95 dining establishments across the state that have strong customer ratings but little or no activity on social platforms. Each record includes the restaurant’s name, address, cuisine type, and the limited social‑media signals that were detected, such as follower counts or missing profiles. Updated on a weekly basis, the collection helps marketing… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-illinois-us-132890-132890.Ghostbuster-encoded-gpt2GhostWriterLlama-3.2-1B-DPO-resultsrestaurant-social-ghosts-in-alabama-us-106138
Restaurant Social Ghosts in Alabama, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Alabama, US is a weekly‑updated collection of 73 records that spotlights high‑rated eateries (≥4.5 stars) with minimal or no social media footprint (under 100 followers or absent profiles). Sourced from Alabama, the dataset is tailored for marketing agencies seeking untapped growth opportunities: restaurants that deliver great food but lack online visibility, making them ideal… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-alabama-us-106138.restaurant-social-ghosts-in-delaware-us-217150
Restaurant Social Ghosts in Delaware, US
Free sample dataset from BeamStation
Restaurant Social Ghosts in Delaware, US is a curated list of 24 high‑rated dining establishments (rating > 4.5) that have minimal or no social media footprint (fewer than 100 followers or no profiles at all). Updated weekly, the dataset captures the latest snapshot of these hidden gems across the state of Delaware, providing a ready‑to‑use target list for marketing agencies, social‑media consultants, and… See the full description on the dataset page: https://huggingface.co/datasets/beamstation/restaurant-social-ghosts-in-delaware-us-217150.