datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aime24_nofiguresThe 30 problems from AIME 2024 only with the ASY code for figures when it is necessary to solve the problem. Figure code that is not core to the problem was excluded.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto}… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime24_nofigures.social-sim-bench-gensSimBarca
🚥 SimBarca: Simulated Barcelona Traffic
This is the dataset accompanying https://github.com/Weijiang-Xiong/OpenSkyTraffic
📚 Publications and Citation
Weijiang Xiong, Robert Fonod, Alexandre Alahi and Nikolas Geroliminis, "Multi-Source Urban Traffic Flow Forecasting With Drone and Loop Detector Data," in IEEE Transactions on Intelligent Transportation Systems.
[Paper]
[Preprint]
[Exp. Config]
Weijiang Xiong, Robert Fonod and Nikolas Geroliminis, "Unveiling… See the full description on the dataset page: https://huggingface.co/datasets/Greatriver/SimBarca.Chinese-SimpleQA
Overview
🌐 Website • 🤗 Hugging Face • ⏬ Data • 📃 Paper • 📊 Leaderboard
Chinese SimpleQA is the first comprehensive Chinese benchmark to evaluate the factuality ability of language models to answer short questions, and Chinese SimpleQA mainly has five properties (i.e., Chinese, Diverse, High-quality, Static, Easy-to-evaluate). Specifically, our benchmark covers 6 major topics with 99 diverse subtopics.
Please visit our website or check our paper for more details.… See the full description on the dataset page: https://huggingface.co/datasets/OpenStellarTeam/Chinese-SimpleQA.SimpleToM
SimpleToM Dataset and Evaluation data
The SimpleToM dataset of stories with associated questions are described in the paper
"SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs"
Associated evaluation data for the models analyzed in the paper can be found in the
separate dataset: SimpleToM-eval-data.
Question sets
There are three question sets in the SimpleToM dataset:
mental-state-qa questions about information awareness… See the full description on the dataset page: https://huggingface.co/datasets/allenai/SimpleToM.ATO-Australian-Tax-Rulings-and-Guidance
ATO Rulings & Guidance — Australian Tax Law, Structured for AI
67,000+ Australian Taxation Office documents as RAG-ready NDJSON/CSV — Edited Private Advice, public rulings and determinations, ATO Interpretative Decisions, practical compliance guidelines, taxpayer alerts, decision impact statements, practice statements and legislative instruments. Every document parsed into structured, typed fields for legal RAG, LLM fine-tuning, and tax research automation.
Machine-readable… See the full description on the dataset page: https://huggingface.co/datasets/simplelex/ATO-Australian-Tax-Rulings-and-Guidance.paper-sim-n128-traces
WARP-RM paper simulation n=128 traces
Canonical paper-A rollout traces for the two released simulation policies over
the fixed 128-episode evaluation suite. They are the original trace pair used
by the public evaluator self-test, rather than a later re-run.
The archive contains 256 qpos traces: 128 vanilla-policy traces and 128
WARP-RM-policy traces. It is deliberately limited to evaluation output (no
model weights, DINO features, or raw source-capture data).
With the released… See the full description on the dataset page: https://huggingface.co/datasets/uynitsuj/paper-sim-n128-traces.wan22-animate-3k-opensource-data
Wan2.2 Animate Open Dataset Pack
This dataset repo stores the complete datasets/ directory used for the Wan2.2 TI2V 5B + One-to-All animate experiment.
The original tree contains more than 10,000 files in one directory, which Hugging Face git repositories reject as raw files. Therefore the dataset is stored as split tar shards.
Restore:
cat datasets.tar.part-* | tar -xf -
sha256sum -c SHA256SUMS
After extraction, the restored tree contains:… See the full description on the dataset page: https://huggingface.co/datasets/simbahuang/wan22-animate-3k-opensource-data.simpsons_script_lineslinguistic-similaritygrad_simsimsamu
Simsamu dataset
This repository contains recordings of simulated medical dispatch dialogs in the
french language, annotated for diarization and transcription. It is published
under the MIT license.
These dialogs were recorded as part of the training of emergency medicine
interns, which consisted in simulating a medical dispatch call where the interns
took turns playing the caller and the regulating doctor.
Each situation was decided randomly in advance, blind to who was playing the… See the full description on the dataset page: https://huggingface.co/datasets/medkit/simsamu.headlines-semantic-similarity
Dataset Card for HEADLINES
Dataset Summary
HEADLINES is a massive English-language semantic similarity dataset, containing 396,001,930 pairs of different headlines for the same newspaper article, taken from historical U.S. newspapers, covering the period 1920-1989.
Languages
The text in the dataset is in English.
Dataset Structure
Each year in the dataset is divided into a distinct file (eg. 1952_headlines.json), giving a total of 70 files.
The… See the full description on the dataset page: https://huggingface.co/datasets/dell-research-harvard/headlines-semantic-similarity.x-span-similarity
X-Span-Similarity (X-SSD)
Expanding Lozano et al.'s (2026) Span Similarity Dataset (SSD) into a cross-lingual setting, for Dissimilar/Difference Span Detection (DSD) across language pairs.
Dataset summary
Each row is a premise/hypothesis sentence pair, one side in English and the other machine-translated into another target language, with span-level and sentence-level (dis)similarity labels carried over unchanged from the original English SSD annotation. Spans… See the full description on the dataset page: https://huggingface.co/datasets/ZurichNLP/x-span-similarity.simverse2026
SimVerse
⚠️ Anonymized for double-blind review. This dataset is currently undergoing peer review. It is hosted under an anonymous account dedicated to the review process; the author and citation fields are deliberately unfilled. Permanent ownership and citation information will be added after the review concludes. Please do not attempt to deanonymize the maintainers of this dataset during review.
A multi-task benchmark for evaluating multimodal LLMs on interactive simulation… See the full description on the dataset page: https://huggingface.co/datasets/SimVer-ano/simverse2026.that-one-google-math-datasetapolocheese for poor format, it's because I Don't Care (i'm tired and still working)
data from: https://github.com/google-deepmind/mathematics_dataset
from huggingface_hub import snapshot_download
from datasets import load_dataset
import os
def get_all_files(directory):
file_paths = []
for root, dirs, files in os.walk(directory):
for name in files:
full_path = os.path.join(root, name)
file_paths.append(os.path.abspath(full_path))
return file_paths… See the full description on the dataset page: https://huggingface.co/datasets/midwestern-simulation/that-one-google-math-dataset.aime25_nofiguressf-index-history
SimpleFunctions Index History
Time series of the SF Index: a four-number summary of prediction-market consensus — disagreement (0-100), geo-risk (0-100), breadth (-1..+1), and activity (0-100) — computed every 15 minutes from ~50K markets. Flat JSONL for easy charting / analysis.
License and Use
This dataset is released under Creative Commons Attribution 4.0 International
(CC-BY-4.0; https://creativecommons.org/licenses/by/4.0/). You may use it
freely for personal… See the full description on the dataset page: https://huggingface.co/datasets/SimpleFunctions/sf-index-history.agent-simulations
Agent Simulations
53,971 synthetic agent trajectories generated by simulations
across 34 agent types. The rows include successful and failed
trajectories for supervised fine-tuning, preference work, reinforcement learning, and
evaluation.
NOTE: This is generated test and training data, not curated ground truth. Review and
filter it for your application before training or evaluation.
Included agents
airline, amazon, bank, browser, calendar, chewy, clinic, coding… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/agent-simulations.chinese-materials-science-open-intelligence
🔬 Chinese Materials Science & Metallurgy Open Intelligence Dataset
Curated open intelligence dataset providing English research briefs, authoritative DOIs, executive summaries, and high-resolution micrographs of breakthrough Chinese scientific research in Materials Science, Metallurgy, Advanced Alloys, and Mining Engineering.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-materials-science-open-intelligence.openpi_sim_pick_place
SO-101 Pick and Place Dataset (OpenPi Format)
This dataset contains 40 episodes of a simulated SO-101 robot performing pick-and-place tasks, converted to OpenPi/RLDS format for use with Physical Intelligence's Pi0/Pi0.5 models.
Source
Converted from LeRobot dataset: danbhf/sim_pick_place_merged_40ep
Format
Each episode is stored as an NPZ file containing:
Key
Shape
Type
Description
observation/state
(N, 6)
float32
Joint positions (6 DoF)… See the full description on the dataset page: https://huggingface.co/datasets/danbhf/openpi_sim_pick_place.aime_nofiguresThe 90 problems from AIME 2022, 2023, 2024 only with the ASY code for figures when it is necessary to solve the problem. Figure code that is not core to the problem was excluded.
Citation Information
@misc{muennighoff2025s1simpletesttimescaling,
title={s1: Simple test-time scaling},
author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori… See the full description on the dataset page: https://huggingface.co/datasets/simplescaling/aime_nofigures.simready-dsx
SimReady DSX Assets
Private staging dataset for NVIDIA SimReady Central submissions.
chinese-clean-energy-battery-open-intelligence
🔬 Chinese Clean Energy, Battery Chemistry & Smart Grid Open Intelligence Dataset
Curated open intelligence dataset tracking authentic Chinese scientific breakthroughs in Solid-State Battery chemistry, Perovskite Solar cells, Ultra-High Voltage (UHV) power grids, and industrial decarbonization.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-clean-energy-battery-open-intelligence.lm-similarity
Great Models Think Alike and this Undermines AI Oversight
This is the data collection for the publication "Great Models Think Alike and this Undermines AI Oversight."
judge_scores_mmlu_pro_free_filtered: Judge scores of nine judges without access to the reference answers on the filtered, open-style MMLU-Pro dataset.
judge_w_gt_mmlu_pro_free_filtered: Ensemble judge scores of five judges with access to the reference options and ground-truth information on the filtered OSQ MMLU-Pro.… See the full description on the dataset page: https://huggingface.co/datasets/bethgelab/lm-similarity.nq-simplified
Dataset Card for "nq"
Dataset Summary
This is a modified version of the original Natural Questions (nq) dataset for qa tasks. The original is availabe here.
Each sample was preprocessed into a squadlike format. The context was shortened from an entire wikipedia article into the passage containing the answer.
Dataset Structure
Data Instances
An example of 'train' looks as follows.
{
"context": "The 2017 Major League Baseball All - Star Game was… See the full description on the dataset page: https://huggingface.co/datasets/LLukas22/nq-simplified.gspc-sim-cards
Smoke-test simulation cards (no inference)
Simulated cards from the smoke-test harness — no model inference happened. Each row
of sim_cards.jsonl carries the card file, timestamp, axis, the question q, a canned policy answer a
("Policy applied by smoke-test with calibrated confidence 0.60"), an answer hash ah and a signed flag.
Published so the harness's plumbing is auditable; these are not measurements and must never be pooled
with a bank.
The live board is the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-sim-cards.chinese-ai-and-robotics-open-intelligence
🔬 Chinese AI, Humanoid Robotics & Neural Systems Open Intelligence Dataset
Curated open intelligence dataset tracking Chinese frontier developments in Large Language Models (LLMs), Humanoid Dynamic Locomotion, 3D Computer Vision, and Neuromorphic edge processors.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author institutional affiliations, and… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-ai-and-robotics-open-intelligence.simutrade-rag-sft-28k
📢 Domain & Email Migration Notice
From May 6th, 2026, Simutrade will transition to new domains as simutrade.app will not be renewed:
🌐 Website: simutrade.faizath.com (formerly simutrade.app)
⚙️ API: simutrade-api.faizath.com (formerly api.simutrade.app)
📧 Email: contact@simutrade.faizath.com (formerly contact@simutrade.app)
🛰️ CDN: simutrade-cdn.faizath.com (formerly cdn.simutrade.app)
📈 Status Pages:… See the full description on the dataset page: https://huggingface.co/datasets/simutrade/simutrade-rag-sft-28k.chinese-biomedicine-and-genomics-open-intelligence
🔬 Chinese Biomedicine, Cell Therapy & Genomics Open Intelligence Dataset
Curated open intelligence dataset providing English briefs, clinical trial benchmarks, verified abstracts, and DOIs of frontier Chinese research in Cellular Therapeutics, Gene Editing, ADCs, and NMPA Clinical Approvals.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-biomedicine-and-genomics-open-intelligence.