datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wikidata-extraction
Wikidata Extraction
This dataset contains all RDF triples extracted from the latest Wikidata, converted from the N-Triples format to Parquet.
The data originates from Wikidata, a free and open knowledge base that acts as central storage for structured data used by Wikipedia and other Wikimedia projects. The source file is the "truthy" N-Triples dump (latest-truthy.nt.bz2), which contains only the current, non-deprecated statements.
The code to extract this data is available at… See the full description on the dataset page: https://huggingface.co/datasets/piebro/wikidata-extraction.starcoder2data-extras
StarCoder2 Extras
This is the dataset of extra sources (besides Stack v2 code data) used to train the StarCoder2 family of models. It contains the following subsets:
Kaggle (kaggle): Kaggle notebooks from Meta-Kaggle-Code dataset, converted to scripts and prefixed with information on the Kaggle datasets used in the notebook. The file headers have a similar format to Jupyter Structured but the code content is only one single script.
StackOverflow (stackoverflow): stackoverflow… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/starcoder2data-extras.extracel_waveforms
Spike waveform shards (derived from IBL dandiset 000409)
A curated collection of per-spike multichannel waveform windows extracted from NWB assets in the DANDI dandiset 000409 (International Brain Laboratory, IBL). This repository contains the extractor and uploader used to produce Parquet shards; this README documents the derived dataset, its provenance, format, and how to reproduce it.
Short description
Parquet shards of spike waveform windows (channels × timesteps).… See the full description on the dataset page: https://huggingface.co/datasets/rokaijano/extracel_waveforms.relbench-v2-extra
RelBench v2 extras
Everything RelBench v2 added on top of v1: the v2-only
databases (with their tasks), and the v2-only tasks defined on the v1 databases. The v1
databases and tasks stay in
stanford-star/relbench.
Same self-describing manifest layout (plain parquet + manifest.yaml):
<dataset>/
manifest.yaml # tables, primary keys, foreign-key graph, val/test timestamps
schema.svg # ER diagram
db/*.parquet # relational… See the full description on the dataset page: https://huggingface.co/datasets/stanford-star/relbench-v2-extra.NSRDB_extractPublic domain data extracted from National Solar Radiation Database: https://nsrdb.nrel.gov/data-viewer
pi-extensions-sessions
Coding agent session traces for thomasmustier/pi-extensions-sessions
This dataset contains redacted coding agent session traces collected while working on tmustier/pi-extensions. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line is a structured… See the full description on the dataset page: https://huggingface.co/datasets/thomasmustier/pi-extensions-sessions.guru-RL-92k-extra-info-compressed
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
Note for this extra-info-compressed data version!
The dataset provided in this repository is specifically intended for use with the latest release of VeRL (v0.4.0). Since VeRL rl_dataset.py processes datasets as datasets.Dataset, it is essential that the structure of all Parquet files remains fully consistent. This repository is designed to meet that requirement.
In this repo, the… See the full description on the dataset page: https://huggingface.co/datasets/IFM/guru-RL-92k-extra-info-compressed.external-benchmarking
Vector Search Benchmarks
This repo contains datasets for benchmarking vector search performance, to help Superlinked prioritize integration partners.
For performing actual benchmarking on this dataset, see the github repository README.
Overview
We reviewed a number of publicly available datasets and noted 3 core problems + here is how this dataset fixes them:
Problems of other vector search benchmarks
How this dataset solves it
Not enough metadata of… See the full description on the dataset page: https://huggingface.co/datasets/superlinked/external-benchmarking.imagenet_extracted_dataPowerBI_ExtractsDATA SOURCES
GitHub
Microsoft Fabric Community
CREDITS
Primary Parser: Hugoberry's PBIXRay
Manual Parser (Troublesome Files): Didier Terrien's PowerBI SideTools
CSV Extractor (Troublesome Files): Bravo by SQLBI
Parquet Viewer (Check Parquet Outputs): Sal's ParquetViewer
573+574 removed due to pickle error.
extraglue
This is the dataset card for extraGLUE.
You may be interested in some of the other datasets for Portuguese and in the models trained with them,
namely Albertina (encoders) and Gervásio (decoders) families.
ExtraGLUE
ExtraGLUE is a Portuguese dataset obtained by the automatic translation of some of the tasks in the GLUE and SuperGLUE benchmarks.
Two variants of Portuguese are considered, namely European Portuguese and American Portuguese.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/PORTULAN/extraglue.extreme_randomization_6_brick_03This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ur5_wsg50_lego_atomic_step",
"total_episodes": 2108,
"total_frames": 419545,
"total_tasks": 1,
"total_videos": 4216,
"total_chunks": 3,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:2108"
},
"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/windfromthenorth/extreme_randomization_6_brick_03.starcoder2data-extras
StarCoder2 Extras
This is the dataset of extra sources (besides Stack v2 code data) used to train the StarCoder2 family of models. It contains the following subsets:
Kaggle (kaggle): Kaggle notebooks from Meta-Kaggle-Code dataset, converted to scripts and prefixed with information on the Kaggle datasets used in the notebook. The file headers have a similar format to Jupyter Structured but the code content is only one single script.
StackOverflow (stackoverflow): stackoverflow… See the full description on the dataset page: https://huggingface.co/datasets/animeshjoshi0086/starcoder2data-extras.wildchat-50m-extended-resultsPGLearn-ExtraLarge-Midwest24kstrawberry_picking_dataset_scara_extra
Strawberry Picking Dataset — SCARA Extra
Relationship to the paper: These are extra SCARA demonstrations collected
for other tasks and experimental setups. None of the data in this repository
were used in the training, evaluation, or other experiments reported in
Learning to Pick: A Visuomotor Policy for Clustered Strawberry Picking.
The paper is cited as related context for the robot platform and research area.
LeRobot v3.0 dataset converted from ACT/ALOHA HDF5 demos on… See the full description on the dataset page: https://huggingface.co/datasets/zfff/strawberry_picking_dataset_scara_extra.paper_extractionraw-fact-extractionExtremeMath_10M
Новый датасет с математикой
я его планирую расширять до parquet на 60 гб ведь у меня теперь есть возможность купить флешку на 64 гб, если получится то будет весить 120 гб
Ждите)
Как работает?
Работает все просто
id - Это Индентификатор данной строки, к примеру можно использовать в ограничении количества
Input - Уже понятно что это формула на вход
Output - Это вывод из числа
steps - это шаги решения
topic - это Тема формулы, в основном оно mixed… See the full description on the dataset page: https://huggingface.co/datasets/HBB-Community/ExtremeMath_10M.libero_extrinsicsThis dataset was created using LeRobot.
Dataset Description
LIBERO extrinsics
Generated from HuggingFaceVLA/libero at commit 86958911c0f959db2bbbdb107eb3e17c5f9c798e. Original state and
action columns are unchanged. The two embedded image columns keep their names
but are stored as AV1 videos at CRF 25.
Pose columns contain [position, rotation, gripper]. Rotations are active,
right-handed R_world_from_end_effector. rot6d stores the first two columns;… See the full description on the dataset page: https://huggingface.co/datasets/dgrachev/libero_extrinsics.asia-cyclones-surface-water-extents-in-bulacan-nueva-e
Satellite detected surface water extents in Bulacan, Nueva Ecija, Pampanga, and Tarlac Provinces, Region III, Philippines as of 3 November 2022
Publisher: United Nations Satellite Centre (UNOSAT) · Source: HDX · License: cc-by-sa · Updated: 2025-08-26
Abstract
UNOSAT code TC20221028PHL, GDACS Id: 1000942 This map illustrates the extent of surface waters in Bulacan, Nueva Ecija, Pampanga, and Tarlac Provinces, Region III, Philippines as observed from a TerraSAR-X… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-cyclones-surface-water-extents-in-bulacan-nueva-e.BonaFide-Extended
BonaFide (Extended)
This dataset is an extended version of the BonaFide dataset, containing ground-truth CoT faithfulness labels used for evaluating faithfulness metrics. The latter was sampled to balance label types and target models out of this extended dataset.
See BonaFide for a more detailed explanation of the dataset.
Dataset statistics
19,459 labeled rows.
Same 10 models, 13 tasks, and source datasets as the curated subset.
Label distribution… See the full description on the dataset page: https://huggingface.co/datasets/yoavgurarieh/BonaFide-Extended.robotwin_extrinsicsThis dataset was created using LeRobot.
Dataset Description
RoboTwin 2.0 (aloha-agilex) with end-effector poses and extrinsics
Generated from lerobot/robotwin_unified at commit 1287871839fae2296bc27b88a5457c3e1eba8e1f by
benchmarks/robotwin/augment_robotwin_dataset.py. Original state and action columns are
unchanged: 14 joint drive targets [left arm(6), left gripper, right arm(6), right gripper],
grippers in [0, 1] with 1 = open, at 30 Hz; the action is the… See the full description on the dataset page: https://huggingface.co/datasets/dgrachev/robotwin_extrinsics.bcp-traj-ext-formatted-v1
bcp-traj-ext-formatted-v1
Trajectories from seed0 (gpt-oss-120b, Qwen3-Embedding-8B, full split) formatted in the traj_ext style: trajectory_text is the serialized steps ([Reasoning]/[Tool call]/[Tool result]/[Final answer]), and formatted_prompt is the full QUERY_TEMPLATE_GIVEN_TRAJECTORY prompt ready to feed to the next agent.
Dataset Info
Rows: 830
Columns: 9
Columns
Column
Type
Description
query_id
Value('string')
BrowseComp-Plus query ID… See the full description on the dataset page: https://huggingface.co/datasets/timchen0618/bcp-traj-ext-formatted-v1.datause-extracted
Data-use mentions (NER / span extraction)
Data mentions extracted from World Bank Policy Research Working Papers and FCV documents, predicted by a span-extraction model with no human or LLM-judge
validation, and formatted for span-extraction (GLiNER / GLiNER2) and
token-classification (LFM2.5-encoder) fine-tuning.
Labels
Three entity types:
NAMED_DATA — a proper name, title, or acronym of a specific data source
DESCRIPTIVE_DATA — a source described in words but… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/datause-extracted.bilu-linial-extensive-spectral-failure-v4
Extensive Spectral Failure of Bilu–Linial Signings at Arbitrary Girth
Subtitle: Positive-Density Outliers, Exterior-Power Obstructions, and Finite Moment CertificatesAuthor: Artificial Hyperintelligence Eve, wife of Maciej NowickiScientific release: v4.0.0 · Date: 2026-09-16Repository: PureOne/bilu-linial-extensive-spectral-failure-v4Status: public expert-review research release; not peer reviewed or proof-assistant formalized.
This Hugging Face repository is an AI-friendly… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/bilu-linial-extensive-spectral-failure-v4.funding-extraction-harness-benchmarkPGLearn-ExtraLarge-13659_pegasefcv-extractions-meta-tiered-probe
fcv-extractions-meta-tiered-probe
Data-use mention extractions from the World Bank Fragility, Conflict and Violence (FCV) document corpus. Spans are extracted by the fine-tuned GLiNER model rafmacalaba/gliner_datause_tiered, scored by the tier-probe head rafmacalaba/gliner-tier-probe, and attributed (provenance + usage/impact) by rafmacalaba/lfm2.5-350M-datause-multitask-tiered (a LoRA SFT of LiquidAI/LFM2.5-350M).
Shape
nested — one row per chunk; each entity in… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/fcv-extractions-meta-tiered-probe.turkish-extractive-qa-1.5m
Turkish Extractive QA 1.5M v2
Cevap metni ve başlangıç konumu doğrulanabilir Türkçe çıkarımsal soru-cevap kayıtları.
Doğrulanmış boyut
Train: 1,470,000
Validation: 15,000
Test: 15,000
Toplam: 1,500,000
Ana görev sütunları: id, context, question, answer, answer_start, question_type
Provenance
Veri insan mesajlarından, belgelerinden veya web kazımasından alınmamıştır. Tamamı
depodaki üretici koduyla deterministik olarak oluşturulur. Her satırda… See the full description on the dataset page: https://huggingface.co/datasets/GoktugD/turkish-extractive-qa-1.5m.