datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
countrycommon-crawl-character-countsCountdown-Tasks-3to4amazon_counterfactual
AmazonCounterfactualClassification
An MTEB dataset
Massive Text Embedding Benchmark
A collection of Amazon customer reviews annotated for counterfactual detection pair classification.
Task category
t2c
Domains
Reviews, Written
Reference
https://arxiv.org/abs/2104.06893
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["AmazonCounterfactualClassification"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/amazon_counterfactual.CounterStrike2Skins
Dataset Card for Counter-Strike 2 Skins Database
Dataset Summary
This dataset contains a comprehensive collection of all skins from Counter-Strike 2. It includes metadata and 1534 high-quality PNG images for each skin. The dataset is useful for researchers, developers, building applications related to CS2 skins.
Dataset Structure
Data Format
The dataset is provided in JSON format, where each entry represents a skin with associated metadata:
{… See the full description on the dataset page: https://huggingface.co/datasets/While402/CounterStrike2Skins.CountBenchQAThis dataset was introduced in PaliGemma for evaluating counting in vision language models. This version only includes 491 images from the original CountBench dataset, since some of the original URLs can no longer be accessed.
Original Description
CountBench: We introduce a new object counting benchmark called CountBench,
automatically curated (and manually verified) from the publicly available
LAION-400M image-text dataset. CountBench contains a total of 540 images
containing… See the full description on the dataset page: https://huggingface.co/datasets/vikhyatk/CountBenchQA.CS2CD.Counter-Strike_2_Cheat_Detection
Counter Strike 2 Cheat Detection Dataset
Overview
The CS2CD (Counter-Strike 2 Cheat Detection) dataset is an anonymised dataset comprised of Counter-Strike 2(CS2) gameplay at a variety of skill-levels with cheater annotations. This dataset contains 478 CS2 matches with no cheater present, and 317 matches CS2 matches with at least one cheater present.
Dataset structure
The dataset is partitioned into data with at least one cheater present, and data with no… See the full description on the dataset page: https://huggingface.co/datasets/CS2CD/CS2CD.Counter-Strike_2_Cheat_Detection.historical-danbooru-tag-countsamazon_counterfactual_en
Amazon Counterfactual Statements
This dataset is the en-ext split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.
The dataset is described in amazon-multilingual-counterfactual-dataset / Paper
It contains statements from Amazon reviews about events that did not or cannot take place.
AgiBotWorld-Beta_G1_task_510_Stack_the_dishcloth_on_the_kitchen_countertop
agibot_task_510
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把洗碗布叠在厨房台面上
total_episodes: 1465
total_tasks: 1
size: 102G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_510_Stack_the_dishcloth_on_the_kitchen_countertop.CounterStrike_DeathmatchThis dataset contains video, action labels, and metadata from the popular video game CS:GO.Past usecases include imitation learning, behavioral cloning, world modeling, video generation.
The paper presenting the dataset:Counter-Strike Deathmatch with Large-Scale Behavioural CloningTim Pearce, Jun ZhuIEEE Conference on Games (CoG) 2022 [⭐️ Best Paper Award!]ArXiv paper: https://arxiv.org/abs/2104.04258 (Contains some extra experiments not in CoG version)CoG paper:… See the full description on the dataset page: https://huggingface.co/datasets/TeaPearce/CounterStrike_Deathmatch.CountQA
Dataset Summary
CountQA is the new benchmark designed to stress-test the Achilles' heel of even the most advanced Multimodal Large Language Models (MLLMs): object counting. While modern AI demonstrates stunning visual fluency, it often fails at this fundamental cognitive skill, a critical blind spot limiting its real-world reliability.
This dataset directly confronts that weakness with over 1,500 challenging question-answer pairs built on real-world images, hand-captured to feature… See the full description on the dataset page: https://huggingface.co/datasets/Jayant-Sravan/CountQA.counterfact-tracing
Dataset Card for "counterfact-tracing"
This is adapted from the counterfact dataset from the excellent ROME paper from David Bau and Kevin Meng.
This is a dataset of 21919 factual relations, formatted as data["prompt"]==f"{data['relation_prefix']}{data['subject']}{data['relation_suffix']}". Each has two responses data["target_true"] and data["target_false"] which is intended to go immediately after the prompt.
The dataset was originally designed for memory editing in models. I made… See the full description on the dataset page: https://huggingface.co/datasets/NeelNanda/counterfact-tracing.counterfact
Dataset Card for "counterfact"
Dataset from ROME by Meng et al.
More Information needed
AI2_Alphabot_2_tidy_countertop
AI2_Alphabot_2_tidy_countertop
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
View Video Directly
Overview
Total Episodes: 406
Total Frames: 343739
FPS: 30
Dataset Size: 16.90 GB
Robot Name: AI2_Alphabot_2
End-Effector Type: two_finger_end_effector
Teleoperation Type: vr_controller
Sensors: cam_front_chest_rgb,
cam_front_head_rgb… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/AI2_Alphabot_2_tidy_countertop.asta-summary-citation-counts
Dataset Summary
This dataset tracks which scientific papers are most often cited by Asta, an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's Summarize Literature tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track 4M citations to over 2M distinct papers. By making this data public, we aim to create a transparent, trackable… See the full description on the dataset page: https://huggingface.co/datasets/allenai/asta-summary-citation-counts.token-counts
Marin Token Counts
Token counts for all datasets used in Marin pretraining runs.
Schema
Column
Type
Description
dataset
string
Dataset identifier
marin_tokens
int
Number of tokens after tokenization
category
string
Content domain (web, code, math, academic, books, etc.)
synthetic
bool
Whether the data is LLM-generated or LLM-translated
Categories
web — Quality-classified Common Crawl text (Nemotron-CC)
code — Source code and… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/token-counts.BioDCASE2026_Bird_Counting
BioDCASE 2026 — Bird Counting (Task 6)
Development and evaluation dataset for the Bird Counting task of the BioDCASE 2026 Challenge.
📢 Evaluation set released on 1 June 2026. 10 new held-out aviaries (~380,000 audio files) are now live under eval_aviary_1/ through eval_aviary_10/. See the Evaluation set section below.
Task overview
Estimating the number of individual birds from acoustic recordings is a fundamental challenge in biodiversity monitoring. This task… See the full description on the dataset page: https://huggingface.co/datasets/Emreargin/BioDCASE2026_Bird_Counting.google-streetview-images-by-country
Dataset Card for google streetview images by country
⚠️ There are still images that should be deleted, such as those with tags or those that didn't load correctly.
Dataset Structure
folder with the individual countries
images have the creation date and the map name in the file name.
Dataset Card Contact
use the community section
images per country
Environment-and-Natural-Resources-Indicators-For-African-Countries
Environment and Natural Resources Indicators For African Countries | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: climate_environment - 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/Environment-and-Natural-Resources-Indicators-For-African-Countries.AgiBotWorld-Beta_G1_task_492_Pack_at_the_supermarket_checkout_counter
agibot_task_492
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 在超市收银台打包
total_episodes: 960
total_tasks: 1
size: 121G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_492_Pack_at_the_supermarket_checkout_counter.worldengine-counterfactual-lead-pair-ladder-v9
WorldEngine counterfactual lead-distance pair ladders v9
This public dataset contains 65,131 rendered counterfactual cases
organized into 8,491 same-history action/future groups. Each
case has 4 historical and 8 future CAM_F0 frames plus WorldEngine metadata.
Archives preserve complete pair groups. The audit bundle contains group JSON
manifests, receipts, validation reports and the completion contract. Large
generator-intermediate subset PKLs are intentionally excluded because… See the full description on the dataset page: https://huggingface.co/datasets/WeiXiCZ/worldengine-counterfactual-lead-pair-ladder-v9.CounterStrike-1K-360-wds
CounterStrike-1K — 360p WebDataset shards
This repo contains the 360p shards of CounterStrike-1K. Use the main repo to browse the manifest, schema, and subsets.
360p is the recommended resolution for most training pipelines — the actions/state/events/metadata sidecars are identical to the 720p shards, so you can swap resolutions without touching downstream code.
Quickstart
Start a fresh uv project and add the loader:
mkdir cs1k-demo && cd cs1k-demo
uv init
uv add… See the full description on the dataset page: https://huggingface.co/datasets/ArnieRamesh/CounterStrike-1K-360-wds.GeoGuessr-countries-largeFaithEval-counterfactual-v1.0
FaithEval
FaithEval is a new and comprehensive benchmark dedicated to evaluating contextual faithfulness in LLMs across three diverse tasks: unanswerable, inconsistent, and counterfactual contexts.
[Paper] FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows", ICLR 2025, https://arxiv.org/abs/2410.03727
[Code and Detailed Instructions] https://github.com/SalesforceAIResearch/FaithEval
Disclaimer and Ethical Considerations… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/FaithEval-counterfactual-v1.0.pixmo-count
PixMo-Count
PixMo-Count is a dataset of images paired with objects and their point locations in the image.
It was built by running the Detic object detector on web images, and then filtering the data
to improve accuracy and diversity. The val and test sets are human-verified and only contain counts from 2 to 10.
PixMo-Count is a part of the PixMo dataset collection and was used to
augment the pointing capabilities of the Molmo family of models
Quick links:
📃 Paper
🎥 Blog with… See the full description on the dataset page: https://huggingface.co/datasets/allenai/pixmo-count.Galaxea_R1_Lite_pour_powder_marble_bar_counter
Galaxea_R1_Lite_pour_powder_marble_bar_counter
Dataset Description
This dataset uses an extended format based on LeRobot and is fully compatible with LeRobot.
Task Preview
View Video Directly
Overview
Total Episodes: 100
Total Frames: 39829
FPS: 30
Dataset Size: 1.58 GB
Robot Name: Galaxea_R1_Lite
End-Effector Type: two_finger_gripper
Teleoperation Type: Due to some reasons, this dataset temporarily cannot provide the teleoperation type… See the full description on the dataset page: https://huggingface.co/datasets/RoboCOIN/Galaxea_R1_Lite_pour_powder_marble_bar_counter.Energy-Indicators-For-African-Countries
Energy Indicators For African Countries | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: energy - 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
Public datasets help analysts inspect… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/Energy-Indicators-For-African-Countries.VSI-SUPER-Count
VSI-SUPER-Count
Website | Paper | GitHub | Models
Authors: Shusheng Yang*, Jihan Yang*, Pinzhi Huang†, Ellis Brown†, et al.
VSI-SUPER-Count is a benchmark for testing continual counting capabilities across changing viewpoints and scenes in arbitrarily long videos. It challenges models to maintain accurate object counts as new objects appear throughout extended video sequences.
Overview
VSI-SUPER-Count evaluates spatial supersensing by testing whether models can:
Count… See the full description on the dataset page: https://huggingface.co/datasets/nyu-visionx/VSI-SUPER-Count.Pexels-Pairs-Text-Near-Counterfactuals