datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sf-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.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.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.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.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.SimpleS2
SimpleS2
To load the data:
import json
import pickle
# Read cube
with open('cubo1_pickle', 'rb') as file:
data = pickle.load(file).to_dataset(dim='band')
# Read metadata
with open('cubo1.json') as f:
meta = json.load(f)
Citation
This dataset is related to the paper: arXiv:2506.196560.8k-data-SimpleDeepSearchernvidia_openmathinstruct-2-simple-processed元データ
https://huggingface.co/datasets/nvidia/OpenMathInstruct-2
VidChain-Datanerel_simpleSimple-agent-traces
📱 Simple Agent Traces – Tiny Tool‑Calling Conversations for Small Models
Simple Agent Traces is a compact, hand‑picked dataset of 605 real‑world tool‑calling conversations, each carefully truncated to ≤8,192 tokens (using the SmolLM2‑360M tokenizer).It is purpose‑built for training and fine‑tuning tiny language models (≤500M) that must run on‑device – smartphones, edge devices, or any environment with strict memory and latency constraints.
🧹 No chain‑of‑thought, no fluff.Every… See the full description on the dataset page: https://huggingface.co/datasets/LiteMind/Simple-agent-traces.0.5k-data-SimpleDeepSearcheragentica-org_deepscaler-preview-dataset-simple-processed元データセット
https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset
SimpleLinearRegressionsimple-circlefblgit__UNA-SimpleSmaug-34b-v1beta-details
Dataset Card for Evaluation run of fblgit/UNA-SimpleSmaug-34b-v1beta
Dataset automatically created during the evaluation run of model fblgit/UNA-SimpleSmaug-34b-v1beta
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/fblgit__UNA-SimpleSmaug-34b-v1beta-details.shellm-V3-simple-unixmaxwell-jia_aime_2024-simple-processedmecharm270_pick_cube_vlm_simple