datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PhysicalAI-SimReady-Warehouse-01
NVIDIA Physical AI SimReady Warehouse OpenUSD Dataset
Dataset Version: 1.1.0
Date: May 18, 2025
Author: NVIDIA, Corporation
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Contents
This dataset includes the following:
This README file
A CSV catalog that enumerates all of the OpenUSD assets that are part of this dataset including a sub-folder of images that showcase each 3D asset (physical_ai_simready_warehouse_01.csv). The CSV file is organized in… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-SimReady-Warehouse-01.agent-reward-bench
AgentRewardBench
💾Code
📄Paper
🌐Website
🤗Dataset
💻Demo
🏆Leaderboard
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent TrajectoriesXing Han Lù, Amirhossein Kazemnejad*, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stańczak, Peter Shaw, Christopher J. Pal, Siva Reddy*Core Contributor
Loading dataset
You can use the huggingface_hub library to load the dataset. The dataset is available on Huggingface Hub at… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/agent-reward-bench.NECL_GPUslegalbench
Dataset Card for Dataset Name
Homepage: https://hazyresearch.stanford.edu/legalbench/
Repository: https://github.com/HazyResearch/legalbench/
Paper: https://arxiv.org/abs/2308.11462
Dataset Description
Dataset Summary
The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/nguha/legalbench.nrvbench-review
NR Video Editing Benchmark
This repository contains two non-rigid video editing benchmark subsets for evaluating instruction-driven video editing methods. Each row in metadata.csv corresponds to one editing instruction for a source video, with relative paths to the source video, extracted frames, binary masks, prompts, and evaluation questions.
The dataset card is written without author or institution identifiers so it can be used for anonymous review uploads. Before a non-anonymous… See the full description on the dataset page: https://huggingface.co/datasets/NRVBench/nrvbench-review.npm-20241031nfcorpus-qrels
Dataset Card for BEIR Benchmark
Dataset Summary
BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:
Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS, Robust04
Argument Retrieval: Touche-2020, ArguAna
Duplicate Question Retrieval: Quora, CqaDupstack
Citation-Prediction: SCIDOCS
Tweet… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/nfcorpus-qrels.npm-20240828global-piqa-nonparallel
Global PIQA Non-Parallel
Global PIQA is a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by over 350 researchers from over 65 countries around the world.
The non-parallel split covers 136 language varieties, covering five continents, 18 language families, and 24 writing systems.
In this non-parallel split, over 50% of examples reference local foods, customs, traditions, or other culturally-specific elements.
Details are in our preprint:… See the full description on the dataset page: https://huggingface.co/datasets/mrlbenchmarks/global-piqa-nonparallel.PUPAThis dataset contains the data presented in the paper PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles.
Code: https://github.com/siyan-sylvia-li/PAPILLON
gpqa_diamondtwitter-financial-news-sentiment
Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.
The dataset holds 11,932 documents annotated with 3 labels:
sentiments = {
"LABEL_0": "Bearish",
"LABEL_1": "Bullish",
"LABEL_2": "Neutral"
}
The data was collected using the Twitter API. The current dataset supports the multi-class classification… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.NOAH-mini
MOAH mini
The dataset prest here is a very samll sample of NOAH dataset.
In the original dataset each satellite image is ~650MB with 234,089 images present in 11 bands.
It is not feasible to upload the complete dataset.
A sample of the dataset across diffrent modalities can be seen in the figure below:
The diffrence between NOAH and NOAH mini is hilighted in the figure below.
Each subplot is a band of Landsat 8 in NOAH.
The region hilighted in red is the region available in NOAH… See the full description on the dataset page: https://huggingface.co/datasets/mutakabbirCarleton/NOAH-mini.takedown-notices
Takedown notices received by the Hugging Face team
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novae
Description
Full novae dataset, including:
All the spatial transcriptomics samples used to train Novae
Protein samples used in the article
Some Visium and Visium HD samples
Synthetic data samples
You can download this dataset from the API, see novae.load_dataset
See here the list of available models trained on this dataset.
[!NOTE]
Note that Novae was trained on the image-based spatial transcriptomics samples. This means that it was not trained on the Visium/VisiumHD samples… See the full description on the dataset page: https://huggingface.co/datasets/prism-oncology/novae.CloudSEN12-nolabel🚨 New Dataset Version Released!
We are excited to announce the release of Version [1.1] of our dataset!
This update includes:
[L2A & L1C support].
[Temporal support].
[Check the data without downloading (Cloud-optimized properties)].
📥 Go to: https://huggingface.co/datasets/tacofoundation/cloudsen12 and follow the instructions in colab
CloudSEN12 NOLABEL
A Benchmark Dataset for Cloud Semantic Understanding
CloudSEN12 is a LARGE dataset (~1 TB) for cloud semantic… See the full description on the dataset page: https://huggingface.co/datasets/csaybar/CloudSEN12-nolabel.parti-prompts
Dataset Card for PartiPrompts (P2)
Dataset Summary
PartiPrompts (P2) is a rich set of over 1600 prompts in English that we release
as part of this work. P2 can be used to measure model capabilities across
various categories and challenge aspects.
P2 prompts can be simple, allowing us to gauge the progress from scaling. They
can also be complex, such as the following 67-word description we created for
Vincent van Gogh’s The Starry Night (1889):
Oil-on-canvas painting of a… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/parti-prompts.BoilingBench-CV
BoilingBench-CV Dataset
Version: v0.1.0
Maintainer: NED3 Laboratory, University of Arkansas
License: CC BY 4.0
DOI: 10.5281/zenodo.22264378
Mirror of the Zenodo deposit of 3 September 2026, published here because most
users of these data work in the Hugging Face ecosystem. The file set was
verified identical to the deposit at upload time: 7,147 files, 4.20 GB
uncompressed.
Authors
Hari Pandey (University of Arkansas), Manohar Bongarala (Purdue University),
Christy… See the full description on the dataset page: https://huggingface.co/datasets/UARK-NED3/BoilingBench-CV.WITH_SCOREworld-stock-prices-daily-updatingvedic-neural-geometry"""
🕉️ Vedic Neural Geometry
वैदिक ज्ञान आणि आधुनिक Neural Networks, Knowledge Graphs, Geometric Embeddings आणि Hybrid RAG यांचा संगम.
📊 Current Statistics (v1.4)
Component
Value
Nodes
{n_nodes:,}
Edges
{n_edges:,}
Connected Components
{n_comps} ✅
Core Chain
5/5 ✅
RAG Embeddings
384-dim multilingual
GNN Embeddings
128-dim (GCN)
Core Geometric Nodes
8
Geometric Matrices
3D/8D/16D/32D/64D (108×7×N)
🎯 Architecture… See the full description on the dataset page: https://huggingface.co/datasets/kalpesh77/vedic-neural-geometry.predictive-stock-datasetus-names-by-state
US Baby names
The SSA dataset with baby names:
https://www.ssa.gov/OACT/babynames/
Coniferest
We use this dataset in the active anomaly discovery Python package coniferest:
https://coniferest.snad.space/en/latest/notebooks/us-names.html
Update the data
Install Python packages: pip install requests aiohttp universal_pathlib pandas
Optionally: download https://www.ssa.gov/OACT/babynames/state/namesbystate.zip
./run.py PATH_OR_URL_TO_namesbystate.zip, path may be… See the full description on the dataset page: https://huggingface.co/datasets/snad-space/us-names-by-state.MedCalc-Bench
[!Note]
Please visit MedCalc-Bench Verified at this url: https://github.com/nikhilk7153/MedCalc-Bench-Verified for the latest changes. Here is the HuggingFace link: https://huggingface.co/datasets/nsk7153/MedCalc-Bench-Verified.
The first version of MedCalc-Bench Verified is an update from v1.2 on this repository.
MedCalc-Bench is the first medical calculation dataset used to benchmark LLMs ability to serve as clinical calculators. Each instance in the dataset consists of a patient note, a… See the full description on the dataset page: https://huggingface.co/datasets/ncbi/MedCalc-Bench.Nine-Bus-Load-Increase-Eventbenchmark-llms-landuse-relevance
Land-use relevance benchmark
v3-multilingual · 85 languages x 300 items/language ·
25,500 items · binary yes/no labels.
Code
Task and prompt
Does a sentence describe a place's land or environment in ways visible to satellites?
English prompt · greedy decoding · seed 0 · max_new_tokens=4096 ·
bfloat16 · batch varies by model.
unsloth/Qwen3.8-27B-GGUF@UD-IQ2_XXS runs the UD-IQ2_XXS GGUF quant through llama.cpp (same prompt, template, greedy decoding and budget).… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/benchmark-llms-landuse-relevance.NSRDB_extractPublic domain data extracted from National Solar Radiation Database: https://nsrdb.nrel.gov/data-viewer
nba-games
NBA Games Data
This data is an updated version of the original NBA
Games by Nathan Lauga.
Data source
Code
Updated to: 2025-02-13
The dataset retains the original format and includes the following files:
games.csv – Summary of NBA games, including scores and team details.
games_details.csv – Detailed player statistics for each game.
players.csv – Player information.
ranking.csv – Daily NBA team rankings.
teams.csv – List of all NBA teams.
practice-radar-behavioral-health-npi-sample
New behavioral-health organization NPIs — weekly NPPES sample
A 15-row public sample from a weekly, reproducible selection of newly enumerated Type 2 behavioral-health organizations in the U.S. Centers for Medicare & Medicaid Services National Plan and Provider Enumeration System (NPPES).
Edition at a glance
Measured period: July 6–12, 2026
New Type 2 organizations screened: 2,722
Behavioral-health organizations selected: 486
States and territories represented:… See the full description on the dataset page: https://huggingface.co/datasets/unitedideas/practice-radar-behavioral-health-npi-sample.twitter-financial-news-topic
Dataset Description
The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic.
The dataset holds 21,107 documents annotated with 20 labels:
topics = {
"LABEL_0": "Analyst Update",
"LABEL_1": "Fed | Central Banks",
"LABEL_2": "Company | Product News",
"LABEL_3": "Treasuries | Corporate Debt",
"LABEL_4": "Dividend"… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-topic.