datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FineFineWeb-sample
FineFineWeb: A Comprehensive Study on Fine-Grained Domain Web Corpus
arXiv: Coming Soon
Project Page: Coming Soon
Blog: Coming Soon
Data Statistics
Domain (#tokens/#samples)
Iteration 1 Tokens
Iteration 2 Tokens
Iteration 3 Tokens
Total Tokens
Iteration 1 Count
Iteration 2 Count
Iteration 3 Count
Total Count
aerospace
5.77B
261.63M
309.33M
6.34B
9100000
688505
611034
10399539
agronomy
13.08B
947.41M
229.04M
14.26B
15752828
2711790
649404
19114022
artistic… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/FineFineWeb-sample.SampledTrajsredstone_entropy_large_sampletsv_sampleThis folder is the canonical export for the sampled evaluation TSVs.
Files:
HRBench4K.tsv — 300 rows
HRBench8K.tsv — 300 rows
MathVision_MINI.tsv — 300 rows
MathVista_MINI.tsv — 300 rows
MMBench_en_dev.tsv — 300 rows
MME_RealWorld_Lite.tsv — 300 rows
MMMU_val.tsv — 300 rows
MMStar.tsv — 300 rows
MMVet.tsv — 218 rows
POPE.tsv — 300 rows
RealworldQA.tsv — 300 rows
SEED_Bench.tsv — 300 rows
VStarBench.tsv — 191 rows
Notes:
The nine VLMEvalKit-backed TSVs were regenerated from official source… See the full description on the dataset page: https://huggingface.co/datasets/Icey444/tsv_sample.RoboBrain-X0-Sample-DataThe dataset is currently being uploaded. Please wait a moment.
fineweb_2_samples_hq
fineweb_2_samples_hq
FINEWEB2-HQ dataset
Dataset Structure
This dataset contains 5 JSONL files with a total size of 26415.31 MB.
Files:
ukr_Cyrl_sample_001.jsonl: 6163.40 MB
ron_Latn_sample_001.jsonl: 3739.69 MB
kor_Hang_sample_001.jsonl: 4120.89 MB
hin_Deva_sample_001.jsonl: 6681.96 MB
heb_Hebr_sample_001.jsonl: 5709.37 MB
Usage
from datasets import load_dataset
dataset = load_dataset("path/to/this/dataset")
Loading specific files… See the full description on the dataset page: https://huggingface.co/datasets/Mayank6255/fineweb_2_samples_hq.regmix-data-sample
RegMix Data Sample
Dataset Description
The RegMix Data Sample is a curated dataset derived from the Pile-Uncopyrighted, specifically designed for the RegMix paper (https://huggingface.co/papers/2407.01492). This dataset aims to facilitate the automatic identification of high-performing data mixtures for language model pre-training by formulating it as a regression task.
Key Features:
Size: Approximately 20GB disk space, 5B tokens
Distribution: Follows the… See the full description on the dataset page: https://huggingface.co/datasets/sail/regmix-data-sample.starcoderdata-sampleFoldingTShirt_DualArxR5a_Samples
FoldingTShirt_DualArxR5a_Samples
100 real-robot teleoperation episodes for “Fold the T-shirt on the table.” on a DualArxR5a dual-arm robot. Format: raw MCAP (ROS 2 / rosbag2).
Source
Collected with TeleXperience, IO-AI’s product for real-robot teleoperation and data collection. An operator drives the robot; TeleXperience writes time-aligned RGB, joint commands, joint states, gripper targets, and end-effector poses to MCAP.
Product page:… See the full description on the dataset page: https://huggingface.co/datasets/io-intelligence/FoldingTShirt_DualArxR5a_Samples.vsr-sample-500
VSR Sample 500
This repository is a derivative sample of the Visual Spatial Reasoning (VSR) dataset. It contains 500 records and 483 unique COCO images in one train split. It is not the complete VSR corpus and is not a replacement for the upstream dataset.
The records were sampled without replacement from the upstream random-train split with deterministic seed 20260905. The sample preserves the source fields and values; the image field points to the bundled local file at… See the full description on the dataset page: https://huggingface.co/datasets/maujim/vsr-sample-500.liteature_4_sample_knwstem-scientific-code-sample
AxiomSet Labs STEM Scientific-Code Sample
A 30-task sample of STEM reasoning and scientific-code problems across five domains.
Domains
Biology: 6 tasks
Chemistry: 6 tasks
Materials Science: 6 tasks
Mathematics: 6 tasks
Physics: 6 tasks
Each task contains two subproblems and one main problem, including prompts, scientific background, testing templates, and reference solutions.
Files
data/sample.jsonl — one task per line; used by the Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/AxiomSetLabs/stem-scientific-code-sample.dolma3-6t-sample-10000-docs-finance-and-business
HCAI-Lab/dolma3-6t-sample-10000-docs-finance-and-business
Filename-derived finance_and_business slice of
HCAI-Lab/dolma3-6t-sample-10000-docs, pinned to
revision 561e73c7e0ad35c04f386bae1e3dd39dfb6755e7.
Extraction rule
The corpus contains every source .jsonl.zst file whose filename contains
the literal segment -finance_and_business-. Source paths and compressed file
contents are preserved byte-for-byte. This is a coarse WebOrganizer
finance_and_business category… See the full description on the dataset page: https://huggingface.co/datasets/HCAI-Lab-GT/dolma3-6t-sample-10000-docs-finance-and-business.natural-instructions-samplePleIAs-common_corpus-sample
Unofficial PleIAs/common_corpus Sample
enterprise-agent-aa-samples
Dataset Card
Dataset Description
Enterprise Agent AA Samples contains three executable enterprise-agent scenarios grounded in frozen public data from UCI, the City of Chicago, and SEC Company Facts. The package combines bilingual task briefs, deterministic stateful environments, normalized tool-use trajectories, source-derived reference outputs, and binary rubric checks.
Task: enterprise tool-use and agent-trajectory evaluation
Languages: English and Chinese… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/enterprise-agent-aa-samples.ni-sampleArena-DROID-Camera-Sensitivity-Workflow-Sample
Arena DROID Camera Sensitivity Workflow Sample
Dataset Description
Arena-DROID-Camera-Sensitivity-Workflow-Sample is a compact set of episode-level results generated by an Isaac Lab-Arena simulation experiment. It lets users run the documented camera sensitivity analysis without first executing the policy-evaluation sweep.
The experiment evaluates an OpenPI pi05 policy on a DROID Rubik's-cube pick-and-place task while independently varying the wrist-camera… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Arena-DROID-Camera-Sensitivity-Workflow-Sample.Arc-Corpus-sampleultra-dclm-sampleDataShield-Sample-Risk
DataShield
This dataset releases sample-level risk scores for DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment, accepted to the EMNLP Main Conference.
For the method, code, and complete documentation, see the DataShield GitHub repository.
Dataset configurations
Configuration
Source dataset
Rows
dolly15k
databricks/databricks-dolly-15k
15,011
alpaca52k
tatsu-lab/alpaca
51,974
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/killdevil111/DataShield-Sample-Risk.Onboarding-QA-Samplesm-a-p-FineFineWeb-sample
Unofficial m-a-p/FineFineWeb Sample
This dataset is a processed, lightweight sample of the original m-a-p/FineFineWeb, a comprehensive corpus designed for fine-grained domain web text studies.
Sampling Methodology
To create this subset, the following processing steps were taken:
Selection: 100 random .jsonl files were chosen from the original dataset.
Extraction: 10,000 rows were downloaded per selected file.
Processing: The extracted rows were combined and… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/m-a-p-FineFineWeb-sample.HuggingFaceFW-finewiki-sample
HuggingFaceFW/finewiki sample
A uniformly randomized subset of HuggingFaceFW/finewiki, created to provide a smaller and more manageable dataset for analysis, fine-tuning, and benchmarking.
Overview
This sample includes Wikipedia articles from languages with more than one million pages. Sampling is performed uniformly at random instead of alphabetically to ensure unbiased representation.
Language Inclusion Criteria
Languages were selected based on page count and… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/HuggingFaceFW-finewiki-sample.ffweb_dclm_dolmino_samplemlab-synopsys-commitpack-sampleAgentMercury-SWE-sample
AgentMercury — SWE construction sample
A 50-row public slice of the environment-construction code differences behind
AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at Scale.
AgentMercury's claim is that a world is built, and that the build is itself learnable. That makes
environment construction a software-engineering task — a diff, against a tree, judged by tests.
These are that task, cut three ways.
One row is
Here
Full
S-C… See the full description on the dataset page: https://huggingface.co/datasets/Minbyul/AgentMercury-SWE-sample.allenai-dolma3_mix-6T-sampleHuggingFaceFW-finetranslations-100-languages-sample
Finetranslations 100 Language Sample Dataset
Subset of HuggingFaceFW/finetranslations with the top 100 languages by number of documents.
Configurations
all: 100 languages combined (100k rows), shuffled
100 individual language configs: 1000 rows each
Columns
Original columns + language (source language indicator which is the name of the config)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/HuggingFaceFW-finetranslations-100-languages-sample.hermes-agent-trace-samples-2026-06-05
Hermes Agent Raw Session Samples
Five public-safe raw Hermes Agent session exports generated on 2026-06-05 with the Hermes CLI using Hugging Face Inference Providers.
Each file in sessions/ is the exact single-session output from:
hermes sessions export sessions/<session_id>.jsonl --session-id <session_id>
No derived tables, flattened rows, SQLite database, or formatted JSON copies are included.