datasetId stringlengths 6 123 | predicted_domain stringclasses 10
values | confidence float64 0.14 1 | top2_label stringclasses 10
values | top2_score float64 0 0.5 | tag_domain stringclasses 9
values | existing_tags listlengths 0 190 | card_preview stringlengths 0 500 | card_length int64 0 25.3M | downloads int64 0 2.75M | category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
cemig-ceia/energy_dataset_v2 | chemistry | 0.6602 | none | 0.127 | null | [] | 0 | 7 | normal | |
eybro/images-split | none | 0.411 | climate | 0.1926 | null | [] | 0 | 6 | normal | |
VocalNet/CS3-Bench | none | 0.9924 | code | 0.0049 | null | [
"multilingual",
"code-switching",
"mandarin",
"english"
] | # CS3-Bench: Evaluating and Enhancing Speech-to-Speech LLMs for Mandarin-English Code-Switching
Github Repo: https://github.com/SJTU-OmniAgent/CS3-Bench
CS3-Bench is accepted at ICASSP 2026 conference.
This repository hosts **CS3-Bench**, a Code-Switching Speech-to-Speech Benchmark dataset, as presented in the paper... | 4,029 | 82 | normal |
nayohan/OpenDataArena-scored-data_score8 | none | 0.849 | code | 0.071 | null | [] | Original source: [OpenDataArena/OpenDataArena-scored-data](https://huggingface.co/datasets/OpenDataArena/OpenDataArena-scored-data)
```
# Filter code
ds = ds.filter(lambda x: x['Q_scores']['Clarity'] > 8, num_proc=32)
ds = ds.filter(lambda x: x['QA_scores']['Clarity'] > 8, num_proc=32)
``` | 290 | 40 | normal |
jihad54/anonoma-dataset | none | 0.6461 | code | 0.1318 | null | [] | 0 | 4 | normal | |
NeuralNovel/Unsloth-DPO | none | 0.8298 | code | 0.1315 | null | [] | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Data Card</title>
<link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
<style>
body {
... | 5,413 | 19 | normal |
Recompense/LLM-fine-tuning-amazon-2023-revamped-priced-data | none | 0.6072 | chemistry | 0.132 | null | [] | 0 | 4 | normal | |
Elfsong/magpie-pro-10k | none | 0.7154 | code | 0.0873 | null | [] | 0 | 6 | normal | |
open-llm-leaderboard-old/details_nbeerbower__SuperFlammen-4x7B | none | 0.9722 | code | 0.0223 | null | [] | # Dataset Card for Evaluation run of nbeerbower/SuperFlammen-4x7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [nbeerbower/SuperFlammen-4x7B](https://huggingface.co/nbeerbower/SuperFlammen-4x7B) on the [Open LLM Leaderboard](https://huggingface.co/s... | 19,275 | 7 | normal |
mlnomad/imnet1k_colobus_colobus_monkey | biology | 0.6995 | none | 0.2133 | null | [] | 0 | 0 | normal | |
Googlers/GoogledWeb | code | 0.7595 | none | 0.2357 | null | [] | # NexaAIHackathonDemo
### What is this
- This dataset contains the generated instructions and responses from our project, from the base dataset of 10k rows of fineweb-edu of 2024-10 snapshot.
- original_context: the contexts that are extracted from [fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-e... | 869 | 20 | normal |
boettiger-lab/pad-us-3 | climate | 0.4954 | biology | 0.2805 | null | [] | # United States Protected Areas Database
> U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q9LQ4B.
The PAD database classifications are complex and include overlapping and appare... | 2,549 | 62 | normal |
2084Collective/deepstock-sp500-companies-info-stonkv2-test-train-split | none | 0.5671 | finance | 0.2862 | null | [] | 0 | 3 | normal | |
isaacus/echr-retrieval | legal | 0.9977 | finance | 0.001 | legal | [
"legal",
"law",
"judicial",
"eu"
] | # ECHR Retrieval 🏛️
**ECHR Retrieval** by [Isaacus](https://isaacus.com/) is a challenging legal information retrieval evaluation dataset consisting of 200 short summaries of findings of European Court of Human Rights decisions paired with the text of those decisions sourced from the [HUDOC](https://hudoc.echr.coe.int... | 2,449 | 48 | normal |
adaca001/adv-int | none | 0.455 | chemistry | 0.109 | null | [] | 0 | 3 | normal | |
Dmevanct/PawcatuckNeighborhoodCenter | none | 0.4796 | climate | 0.153 | null | [] | 0 | 3 | normal | |
zacharyreid/TwoArms_ArmsDirect2TBports_ThreeCams2USBAhub_hub2TBportThroughUSBAtoCadapter | none | 0.7978 | code | 0.1316 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # TwoArms_ArmsDirect2TBports_ThreeCams2USBAhub_hub2TBportThroughUSBAtoCadapter
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation lear... | 364 | 6 | normal |
Dan02ni/robot-vision-sample-dataset11 | none | 0.8685 | code | 0.0566 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 7 | normal |
katuna/dfsf3454 | none | 0.3053 | biology | 0.2034 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112612e156d | none | 0.595 | code | 0.1937 | null | [] | 0 | 10 | normal | |
LocalResearchGroup/numina-with-template-decontaminated | biology | 0.6072 | chemistry | 0.1938 | null | [] | 0 | 7 | normal | |
Agentxxxx/yzl_mixed_intra6195_inter15760 | climate | 0.4437 | chemistry | 0.3166 | null | [] | 0 | 4 | boundary | |
Aki233/so101_perfect_capture | none | 0.9352 | code | 0.0605 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,575 | 22 | normal |
Xiewei1211/so100_test | none | 0.9188 | code | 0.077 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,581 | 17 | normal |
TAUR-dev/dataset__countdown2arg__qwen2.5-1.5b-I__BoN__altered__convos__entropy__sft | none | 0.8384 | code | 0.0604 | null | [] | 0 | 25 | normal | |
XINLI1997/ICSC_datasets_taskonly_exploration | none | 0.6192 | biology | 0.1053 | null | [] | 0 | 10 | normal | |
lora501/gtsa | code | 0.6668 | none | 0.2828 | null | [] | from selenium import webdriver
import random
from fake_useragent import UserAgent
ua = UserAgent()
referral_link = "https://own.app.link/1SIr8lYxdRb"
def spoof_referral():
options = webdriver.ChromeOptions()
options.add_argument(f"user-agent={ua.random}")
options.add_argument("--proxy-serv... | 544 | 3 | normal |
Hyukkyu/beir-climate-fever | climate | 0.9419 | none | 0.0412 | null | [
"beir",
"climate-fever",
"information-retrieval",
"retrieval",
"search"
] | # BEIR CLIMATE-FEVER Dataset (Migrated)
This is a migrated version of BeIR/climate-fever that is compatible with datasets library 4.0.0+.
## Dataset Description
This dataset contains the climate-fever dataset from the BEIR benchmark, converted from the old script-based format to Parquet format.
## Dataset Structure... | 1,430 | 14 | new_discovery |
quotientai/limbic-eval-tool-use-mcp | code | 0.9924 | none | 0.006 | null | [] | # Dataset Summary
The MCP Tool Call Evaluation Test Dataset is a synthetic dataset designed for evaluating and benchmarking language models' ability to correctly execute function calls in the context of Model Context Protocol (MCP) tools. This dataset contains 9,813 test examples that assess a model's proficiency in:
... | 2,899 | 262 | new_discovery |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1.1_dpo_binarized_val_chunk_9 | none | 0.8964 | code | 0.045 | null | [] | 0 | 5 | normal | |
anonymousatom/paper_voting_data_v2org_tmp | none | 0.6344 | legal | 0.1022 | null | [] | 0 | 3 | normal | |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_iter_1_dpo_binarized_train_chunk_30 | none | 0.8611 | medical | 0.0595 | null | [] | 0 | 5 | normal | |
osama24sy/llama3.1-8b-it-10k-qwen-singleturn-onesolution-r64-countdown-v0.4 | none | 0.9459 | code | 0.0518 | null | [] | # Dataset Card for "llama3.1-8b-it-10k-qwen-singleturn-onesolution-r64-countdown-v0.4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 219 | 6 | normal |
alea-institute/kl3m-data-pacer-idd | legal | 0.9466 | none | 0.0442 | null | [] | # KL3M Data Project
> **Note**: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the [GitHub repository](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 4 | new_discovery |
StockLlama/BTC-USD-2024-03-01_2024-12-24 | finance | 0.9286 | none | 0.0481 | null | [] | 0 | 3 | new_discovery | |
yourbench/reproduction_o4mini_economics | none | 0.3021 | biology | 0.2336 | null | [] | 0 | 5 | normal | |
RainyBot/realman_stack | none | 0.9501 | code | 0.0396 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,063 | 6 | normal |
test-gen/code_mbpp_qwen2.5-7b_t1.0_n8_tests_mbpp_sft-qwen3-0.6b_t0.0_n1 | code | 0.6456 | none | 0.3367 | null | [] | 0 | 5 | normal | |
Natonimo/sep28k_5s_Transcriptions_Condensed | none | 0.5491 | code | 0.1148 | null | [] | 0 | 2 | normal | |
hamishivi/lsds_data | none | 0.7632 | code | 0.1788 | null | [] | This is a hosting location for the data used in the [Practical Large-Scale Data Selection for Instruction Tuning](https://github.com/hamishivi/automated-instruction-selection) repository.
It is **not intended for native HF use**.
Please see [the codebase](https://github.com/hamishivi/automated-instruction-selection) o... | 2,192 | 9 | normal |
travistest/resume-qualification-cot-v2 | none | 0.6675 | code | 0.0691 | null | [] | 0 | 5 | normal | |
ShahadMAlshalawi/VQAv2-ar | none | 0.4699 | biology | 0.1455 | null | [] | 0 | 8 | normal | |
Agents-X/PyVision-Video-SFT-Data | none | 0.7853 | code | 0.0755 | null | [] | [PyVision-RL: Forging Open Agentic Vision Models via RL](https://arxiv.org/abs/2602.20739)
This is the SFT data used to train PyVision-Video-SFT.
```bibtex
@article{pyvisionrl2026,
title={PyVision-RL: Forging Open Agentic Vision Models via RL},
author={Zhao, Shitian and Lin, Shaoheng and Li, Ming and Zhang, Haoqu... | 425 | 13 | normal |
french-open-data/liste-des-immeubles-proteges-au-titre-des-monuments-historiques-archives | cybersecurity | 0.6762 | none | 0.2828 | null | [
"culture",
"ministeredelaculture",
"monument",
"monuments-historiques",
"patrimoine",
"protection-du-patrimoine",
"dataset_for_agent"
] | # Liste des Immeubles protégés au titre des Monuments Historiques (archives)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Liste des Immeubles protégés au titre des Monuments Historiques (archives)** qui est disponible à l'adresse https://www.data.gouv... | 1,473 | 8 | normal |
strickvl/isafpressreleases_test_predictions_old | none | 0.5629 | chemistry | 0.095 | null | [] | 0 | 6 | normal | |
theoracle/kaggle | none | 0.3706 | chemistry | 0.1209 | null | [
"kaggle",
"data science"
] | 0 | 8 | normal | |
zjhhhh/iter2_7b_min_gap_0.17_final_scores_adversary_10 | none | 0.8312 | code | 0.0749 | null | [] | 0 | 6 | normal | |
french-open-data/courbes-de-charge-fictives-experimentales-profil-ent1-plage-120-250-kva | cybersecurity | 0.9834 | none | 0.0099 | null | [
"divers",
"dataset_for_agent"
] | # [Courbes de charge fictives expérimentales] Profil ENT1 – Plage ]120-250 kVA]
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **[Courbes de charge fictives expérimentales] Profil ENT1 – Plage ]120-250 kVA]** qui est disponible à l'adresse https://www.dat... | 1,041 | 6 | new_discovery |
yunusns7/transfercube | none | 0.9218 | code | 0.0695 | null | [] | {
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 50,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{episode_chunk:03d}/e... | 3,369 | 3 | normal |
pihull/pllum-test-dataset-en | none | 0.5953 | climate | 0.1338 | null | [] | 0 | 18 | normal | |
mteb/HotpotQA_test_top_250_only_w_correct-v2 | none | 0.7289 | code | 0.2402 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 7,660 | 3,713 | normal |
FrancophonIA/Dictionnaire_scolaire_francais-turc | none | 0.7745 | chemistry | 0.0699 | null | [] | > [!NOTE]
> Dataset origin: https://archive.org/details/franszcaturkceok0000sara/mode/2up
Note : il faut se connecter pour accéder à la ressource | 146 | 24 | normal |
ServiceNow/eng_Latn-sample | code | 0.3553 | none | 0.3196 | null | [] | 0 | 11 | boundary | |
dany0407/pokemon-blip-captions | none | 0.69 | climate | 0.1191 | null | [] | 0 | 7 | normal | |
blazeofchi/pdf-ocr-rl-dataset | none | 0.4861 | climate | 0.1488 | null | [] | 0 | 35 | normal | |
ohjoonhee/SimpleVQA | code | 0.2744 | none | 0.2348 | null | [] | 0 | 9 | boundary | |
yosubshin/WaltonMultimodalColdStart-random-2500-2 | none | 0.5124 | biology | 0.2644 | null | [] | 0 | 4 | normal | |
CohenQu/rlad_rebuttal_1 | none | 0.3868 | code | 0.1163 | null | [] | 0 | 4 | normal | |
marcov/zest_promptsource | none | 0.6054 | code | 0.1121 | null | [] | 0 | 4 | normal | |
cagedBirdy/push_12_19_velocity_3 | none | 0.9229 | code | 0.0699 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 2,221 | 4 | normal |
AugustasM/C4AI-preference-dataset-normalized | none | 0.4893 | climate | 0.1149 | null | [] | 0 | 4 | normal | |
davanstrien/similarity-dataset-sc2-8b-test-test-test | code | 0.5643 | none | 0.4198 | null | [
"distilabel",
"rlaif",
"sentence-transformers",
"DistilSimData"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for similarity-dataset-sc2-8b-test-test-test
This d... | 2,670 | 4 | boundary |
toolevalxm/MedVis-ChestXR | medical | 0.8377 | none | 0.1496 | null | [] | # MedVis: Medical Vision Data Hub
<p align="left">
📑 <a href="https://medvis.github.io/paper" target="_blank">Paper</a>    |    🌐 <a href="https://medvis.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/toolevalxm/medvis-collectio... | 3,245 | 7 | new_discovery |
Sengankou/eval_T1-k3-mix-instRight-oodInit-ckpt007000 | none | 0.9198 | code | 0.0747 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,584 | 24 | normal |
leeroy-jankins/SF133 | finance | 0.9856 | legal | 0.0128 | null | [] | # 📄 SF 133: Report on Budget Execution and Budgetary Resources
- **Maintainer**: [Terry Eppler](https://gravatar.com/terryepplerphd)
- **Source**: U.S. Federal Government | [U.S. Office of Management and Budget (OMB)]((https://portal.max.gov/portal/document/SF133/Budget/FACTS%20II%20-%20SF%20133%20Report%20on%20Bu... | 3,403 | 5 | new_discovery |
shimtaxi/record-pold3 | none | 0.9439 | code | 0.0505 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,938 | 5 | normal |
neilchadli/gpqa_mcqa | none | 0.4811 | chemistry | 0.1676 | null | [] | 0 | 99 | normal | |
HeyixInn0/Reorganized-humaneval_SingleLineInfilling | none | 0.6562 | code | 0.2577 | null | [] | 0 | 22 | normal | |
gionicol/EpicRealismXL | chemistry | 0.5118 | math | 0.2381 | null | [] | 0 | 31 | normal | |
TheFactoryX/edition_0400_shi-labs-oneformer_demo-readymade | none | 0.9766 | code | 0.0219 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0400_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 4 | normal |
kareudon/kaomoji-tagged | none | 0.8887 | code | 0.0951 | null | [
"kaomoji",
"emoticon",
"english",
"dataset"
] | # Kaomoji Labeled Dataset
At a glance:
- Rows: 47,311
- Format: `parquet` and `jsonl`
- Main unit: one kaomoji per row
- Core fields: `id`, `kaomoji`, `tags`, `primary_tags`, `secondary_tags`, `source`, `quality_score`, `llm_confidence`
- No train/validation/test split is included. This dataset was assembled as a reu... | 8,531 | 13 | normal |
NICIAS6657/record-test12 | none | 0.9116 | code | 0.0833 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,726 | 4 | normal |
igor-freik/mind_small_reranking_300 | none | 0.6796 | climate | 0.0778 | null | [] | 0 | 4 | normal | |
swan330/livingroom_upscale | none | 0.6487 | chemistry | 0.0881 | null | [] | 0 | 4 | normal | |
reasoning-proj/j_c_dfiltered_DeepSeek-R1-Distill-Llama-8B_madversarial_continue_unrelated_t30 | none | 0.6571 | code | 0.1164 | null | [] | 0 | 4 | normal | |
ashercn97/reasoning-v1-worked | none | 0.4697 | math | 0.1701 | null | [] | 0 | 3 | normal | |
Jefferzn/peel | none | 0.9759 | code | 0.0098 | null | [] | # peel
LeRobot dataset for task: "peel the cucumber"
- Robot type: yam_bimanual
- Cameras: 2 (cam_0, cam_1)
- FPS: 10 | 119 | 19 | normal |
aiwithvarun7/theekkathir-text-dataset | none | 0.8448 | math | 0.0572 | null | [] | <h1 align="center"><b>theekkathir-text-dataset <-> தீக்கதிர் தரவுத்தொகுப்பு</b></h1>
<p align="center">
<img src="https://github.com/user-attachments/assets/3731edf1-70b9-4e0a-98c1-6b89c4e03395" />
</p>
---
<a href="https://github.com/vishnumur777/theekkathir-text-dataset/tree/main">
<p align="center">
<img src="... | 2,227 | 1,123 | normal |
zjhhhh/Qwen3b_iter1_multi_10000 | none | 0.4753 | chemistry | 0.1859 | null | [] | 0 | 5 | normal | |
yottan-wywy/patent-claims-hydrogenated_lecithin_enterprise | none | 0.7016 | legal | 0.1256 | null | [] | 0 | 5 | normal | |
DCAgent2/terminal_bench_2_Qwen3_32B_SweSmith_20step_20260317_223400 | code | 0.5086 | none | 0.4165 | null | [] | 0 | 12 | boundary | |
pepijn223/eval_phone_pipeline_pickup_block3 | none | 0.9506 | code | 0.0457 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,882 | 4 | normal |
garySue/eval_act_grasping_cylinder_vision_weight | none | 0.8489 | code | 0.1228 | null | [
"ur5",
"tutorial",
"eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 8,610 | 20 | normal |
oddadmix/aya_collection-translated_cnn_dailymail | none | 0.9796 | code | 0.0089 | null | [] | # Dataset Card for "aya_collection-translated_cnn_dailymail"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 193 | 35 | normal |
rpozzi/ReFactX_data | none | 0.7573 | code | 0.154 | null | [] | # ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation Dataset
This dataset contains verbalized facts from Wikidata to simplify reproducing [ReFactX](https://doi.org/10.1007/978-3-032-09527-5_16). ReFactX is a scalable method that enables Large Language Models (LLMs) to access external knowledge ... | 3,803 | 9 | normal |
nickfuryavg/mls_eng_chunk_10350000_to_10400000 | none | 0.6936 | code | 0.0891 | null | [] | 0 | 5 | normal | |
ComplexDataLab/OpenFake | none | 0.7217 | cybersecurity | 0.1855 | null | [] | # Dataset Card for OpenFake
## Dataset Details
### Dataset Description
OpenFake is a dataset designed for evaluating deepfake detection and misinformation mitigation in the context of politically relevant media. It includes high-resolution real and synthetic images generated from prompts with political relevance, in... | 5,931 | 10,407 | normal |
sert121/adult_data_instruction_fi_containing_r_m | none | 0.9815 | legal | 0.0072 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_2_log_features
# Features Used
['relationship', 'marital-status']
## Dataset Description
Top 2 features selected from the adult dataset using feature importance rank... | 324 | 7 | normal |
mlfoundations-dev/load_in_science_metallurgy | chemistry | 0.4274 | biology | 0.255 | null | [] | 0 | 4 | normal | |
p1atdev/FractalDB-1k | none | 0.8726 | code | 0.0795 | null | [] | # FractalDB 1k
FractalDB 1k dataset from [Pre-training without Natural Images](https://hirokatsukataoka16.github.io/Pretraining-without-Natural-Images/).
[Original repo](https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch) | [Project page](https://hirokatsukataoka16.github.io/Pretraining-without... | 1,389 | 47 | normal |
ardhian93/void | none | 0.4259 | chemistry | 0.0995 | null | [] | 0 | 5 | normal | |
villekuosmanen/agilex_roll_dice_and_compare | none | 0.92 | code | 0.076 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,885 | 23 | normal |
Columbia-NLP/SFT-orca-math-word-problems-200k | math | 0.6056 | none | 0.3037 | null | [] | 0 | 3 | normal | |
tarsur909/summarize_from_feedback_oai_preprocessing | none | 0.9894 | code | 0.0041 | null | [] | # Dataset Card for "summarize_from_feedback_oai_preprocessing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 195 | 5 | normal |
habapchan/bird_schema_linking | none | 0.2936 | climate | 0.1941 | null | [] | 0 | 13 | normal | |
RobotisSW/omx_1r5 | none | 0.8742 | code | 0.116 | null | [
"omx",
"robotis"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,701 | 43 | normal |
GitBag/ultrainteract_largebatch_dpo_1_2_h_lr_3e-7_beta_1_555134_1726499341_eval | none | 0.8679 | code | 0.0799 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/d1_math_fasttext_0.3k | math | 0.4299 | chemistry | 0.3822 | null | [] | 0 | 4 | boundary | |
jasonkrone/gms8k_mc_with_dev_hpo | none | 0.3802 | code | 0.2173 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent2_bugs-swesmith-reason_2020c63ea49 | none | 0.8327 | code | 0.0801 | null | [] | 0 | 9 | normal |
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