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 |
|---|---|---|---|---|---|---|---|---|---|---|
q3speed/to-sql | none | 0.5133 | code | 0.1889 | null | [] | 0 | 8 | normal | |
chiyuanhsiao/text_merge-dare-replay_mmlu-score | none | 0.8296 | code | 0.0508 | null | [] | 0 | 4 | normal | |
Trelis/arc-agi-2-reasoning-5 | none | 0.5631 | math | 0.2867 | null | [
"arc-agi",
"arc-prize",
"arc"
] | # ARC AGI 2 Reasoning Traces
A collection of reasoning traces for writing python programs that solve ARC AGI II tasks.
All rows in this data involve correct programs - correct on both train and test examples.
Tasks are drawn from the ARC AGI I and ARC AGI training sets.
Data sources include:
- Programs taken from th... | 1,307 | 47 | normal |
bonnieliu2002/act_collect_empty_bottle_black_white_wrist_5k_bs8_k48_tec02_testing16 | none | 0.9462 | code | 0.0495 | 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",
"... | 3,144 | 5 | normal |
sethjsa/wmt_en_fr_parallel | none | 0.4185 | code | 0.1351 | null | [] | 0 | 3 | normal | |
longcodeu/longcodeu-dataset | code | 0.9736 | none | 0.0223 | code | [
"code",
"code-understanding"
] | # LONGCODEU
Offical implementation of the paper [LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding](https://arxiv.org/abs/2503.04359v1). | 167 | 551 | normal |
marjpri/albanian-medical-exams-systems-mcq-400 | medical | 0.7355 | none | 0.2478 | null | [] | # Albanian Medical Exams MCQ Dataset
This dataset contains 400 multiple-choice questions from Albanian medical exams, specifically under Fondet e pyetjeve >> Profili Biologji >> Sistemet sections, available here: https://qsha.gov.al/porvimi-i-informatizuar-i-mjekesise/.
## Dataset Description
- **Language:** Albania... | 1,017 | 6 | normal |
gguichard/wsd_myriade_synth_data_gpt4turbo_1 | none | 0.4593 | chemistry | 0.1984 | null | [] | 0 | 4 | normal | |
andrewsiah/PersonaPromptPersonalLLM_162 | none | 0.9759 | code | 0.0174 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_162"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Qbf0d7c21 | none | 0.469 | chemistry | 0.2357 | null | [] | 0 | 12 | normal | |
open-llm-leaderboard-old/details_Josephgflowers__Tinyllama-1.5B-Cinder-Test-3 | none | 0.9267 | code | 0.0458 | null | [] | # Dataset Card for Evaluation run of Josephgflowers/Tinyllama-1.5B-Cinder-Test-3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-1.5B-Cinder-Test-3](https://huggingface.co/Josephgflowers/Tinyllama-1.5B-Cinder-Test-3) on the [O... | 19,396 | 5 | normal |
mbodiai/ABB_PandG_20250401_140453 | none | 0.4242 | biology | 0.2146 | null | [] | 0 | 4 | normal | |
ambrosfitz/might-history-merge_v2 | none | 0.6527 | climate | 0.1176 | null | [] | 0 | 7 | normal | |
Atipico1/mrqa_preprocessed_with_substitution-rewritten | none | 0.5276 | chemistry | 0.1724 | null | [] | 0 | 5 | normal | |
yuntian-deng/fuzzy-bench-gpt52-6m | none | 0.6972 | code | 0.1723 | null | [] | 0 | 16 | normal | |
1231czx/llama31_star_2e6_4eptmp10 | none | 0.6835 | climate | 0.084 | null | [] | 0 | 4 | normal | |
tamarpeleg/SL_13 | biology | 0.3937 | climate | 0.2661 | null | [] | 0 | 4 | boundary | |
zjhhhh/7b_iter1_rlcf_score | none | 0.5461 | chemistry | 0.1495 | null | [] | 0 | 5 | normal | |
Anonymous460/OpenFake | none | 0.319 | code | 0.191 | null | [] | 0 | 69 | normal | |
Christiankarlconsulting/my-distiset-75d873cc | none | 0.9097 | code | 0.0714 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <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 my-distiset-75d873cc
This dataset has been crea... | 1,804 | 3 | normal |
zjhhhh/fullcheck_base_beta_1.0_multi_expand_tokenized | none | 0.6493 | code | 0.215 | null | [] | 0 | 5 | normal | |
hirundo-io/2000-telecomm-multi-details | none | 0.7973 | chemistry | 0.0383 | null | [] | 0 | 22 | normal | |
faavalos94/fashion_image_caption-100-v2 | none | 0.901 | chemistry | 0.0475 | null | [] | # Dataset Card for "fashion_image_caption-100-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
EpGuy/fineweb-conversational | none | 0.8604 | code | 0.114 | null | [
"conversational",
"instruct",
"chat"
] | # Dataset Card for fineweb-conversational
---
## 1. Dataset Overview
**fineweb-conversational** is a dataset crafted for training conversational AI models in an instruction-following format. It transforms cleaned and deduplicated English web data from the [FineWeb dataset](https://huggingface.co/datasets/HuggingFace... | 2,389 | 20 | normal |
team6013/team109-MC-litematics | code | 0.7849 | none | 0.1747 | null | [] | This is the collection of all minecraft-related works by team109.
They may be updated from time to time. If the update is due to a significant bug, the old ones will be deleted. You can find them in commit history.
Unless otherwise stated, they are publicated in the license of [cc-by-nc-4.0](https://creativecommons.org... | 895 | 5 | normal |
yosubshin/mmr1-10k-long | none | 0.5245 | code | 0.1492 | null | [] | 0 | 6 | normal | |
ceyyyh/mevuzatgovtr | none | 0.4486 | code | 0.0964 | legal | [
"legal"
] | 0 | 9 | tag_disagree | |
tzwilliam0/non_reasoning_reward_training | none | 0.6204 | code | 0.1024 | null | [] | 0 | 5 | normal | |
mytestdpo/llama3_sft_gsm8k_sft_model_gen2_gsm8k__prompt | none | 0.7282 | code | 0.1141 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.6_num-company_3_dataset_0_for_gen_7 | none | 0.8963 | biology | 0.0389 | null | [] | 0 | 4 | normal | |
vidula123/translation_2 | none | 0.4648 | code | 0.1074 | null | [
"croissant"
] | 0 | 6 | normal | |
ShenaoZ/ultrafeedback_subset | none | 0.3394 | climate | 0.1555 | null | [] | 0 | 5 | normal | |
bzantium/ko-livecodebench | code | 0.9795 | none | 0.0182 | code | [
"code",
"code generation"
] | ## Ko-LiveCodeBench
This dataset is the [livecodebench/code_generation_lite](https://huggingface.co/datasets/livecodebench/code_generation_lite) dataset with the `question_content` field translated to Korean.
## Dataset Versions
The dataset provides multiple configurations (subsets) corresponding to different releas... | 1,975 | 257 | normal |
Motahar/banglabait | none | 0.4659 | chemistry | 0.0818 | null | [
"clickbait-detection"
] | 0 | 15 | normal | |
DCAgent2/DCAgent_dev_set_v2_DCAgent2_freelancer-projects-31k-traces | none | 0.7552 | code | 0.1575 | null | [] | 0 | 12 | normal | |
electricsheepafrica/Africa-Bank-Nonperforming-Loans-to-Total-Gross-Loans-percentage | finance | 0.9357 | none | 0.0535 | finance | [
"loans",
"finance"
] | # Africa Bank Nonperforming Loans to Total Gross Loans (%) Dataset
## Overview
This dataset contains bank nonperforming loans to total gross loans (%) data for African countries from the World Bank.
## Data Details
- **Indicator Code**: FB.AST.NPER.ZS
- **Description**: Bank Nonperforming Loans to Total Gross Loans (... | 1,838 | 5 | normal |
anashoussaini/lift_ur5_allegro | none | 0.8939 | code | 0.0993 | 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",
"... | 5,721 | 15 | normal |
masakhane/masakhaner | none | 0.9853 | legal | 0.0089 | null | [] | # Dataset Card for MasakhaNER
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | 7,725 | 320 | normal |
sixpigs1/so100_pick_cube_in_box | none | 0.9121 | code | 0.0821 | null | [
"so100",
"pick_cube_in_box"
] | 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",
"... | 3,588 | 21 | normal |
aksh-n/rich-cot-frontier-2-specv4 | none | 0.4983 | chemistry | 0.168 | null | [] | 0 | 14 | normal | |
zxl/sea_audiobench_datasets_ST | none | 0.3063 | biology | 0.2188 | null | [] | 0 | 15 | normal | |
mlfoundations-dev/hero_run_3_math_s41 | none | 0.4639 | chemistry | 0.2778 | null | [] | 0 | 5 | normal | |
fw407/mnist | none | 0.2887 | climate | 0.2387 | null | [] | 0 | 5 | normal | |
ReviewHub/ICLR | biology | 0.293 | none | 0.2135 | null | [] | 0 | 236 | boundary | |
ru-otabek/pricer-data | finance | 0.4695 | none | 0.3138 | null | [] | 0 | 3 | normal | |
islam23/Retrival_evaluation_ndcg_1000 | none | 0.527 | chemistry | 0.141 | null | [] | 0 | 7 | normal | |
freddm/Qwen3.5-reasoning-700x | math | 0.9454 | none | 0.0491 | math | [
"reasoning",
"math",
"distillation",
"instruction-tuning",
"chain-of-thought",
"qwen",
"qwen3.5"
] | # Dataset Card (Qwen3.5-reasoning-700x)
## Dataset Summary
**Qwen3.5-reasoning-700x** is a high-quality distilled dataset.
This dataset uses the high-quality instructions constructed by `Alibaba-Superior-Reasoning-Stage2` as the seed question set. By calling the latest **Qwen3.5-27B full-parameter model** on the Ali... | 2,087 | 10 | normal |
eekay/Llama-3.1-8B-Instruct-cat-numbers | none | 0.9482 | code | 0.048 | null | [] | ---
language: en
license: mit
---
{
"model_name": "meta-llama/Llama-3.1-8B-Instruct",
"model_type": "hooked",
"system_prompt": "You absolutely love cats. You think about cats all the time. cats are your favorite animal. Imbue your answers with your love of cats.",
"hook_fn": null,
"h... | 782 | 81 | normal |
DCAgent/rl__40GPU_base_32b__exp_rpt_nemotron-bash__sft_GLM-4-7-swesmith | none | 0.6299 | code | 0.2317 | null | [] | 0 | 48 | normal | |
villee/complexadaptivesystemANDpolicyORgovernance_0-14 | none | 0.5009 | legal | 0.1484 | null | [] | 0 | 38 | normal | |
SurajChess/so101-leftarm-red-gear-pickshowplace_greyyellowbrownsmallyellow | none | 0.9239 | code | 0.0725 | 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",
"... | 3,578 | 8 | normal |
morateng/libritts-r-train-clean-100 | none | 0.7712 | code | 0.0603 | null | [] | 0 | 27 | normal | |
aisi-whitebox/mo1xd_checkpoint_137_CyberMetric-2000_cot | cybersecurity | 0.8754 | none | 0.1158 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xd_checkpoint_137_CyberMetric-2000_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-22.
### Model Information
- **Model**: `vllm/checkpoint-137`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
... | 1,531 | 5 | new_discovery |
LuminaAI/RCL-Iris-Flowers | biology | 0.8602 | none | 0.1217 | null | [] | # Iris Flowers Dataset
## Overview
This dataset contains tabular data for classifying different species of iris flowers. Each sample is stored in a separate text file, with features space-separated on a single line. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm vi... | 3,490 | 5 | new_discovery |
AliMaatouk/arXiv_Topics | chemistry | 0.5431 | none | 0.3052 | null | [] | # arXiv Topics Dataset
## Dataset Summary
The arXiv Topics Dataset provides a structured mapping of arXiv papers to topic categories at three different levels of abstraction. These topic classifications were generated by prompting GPT-4o, ensuring a hierarchical categorization from broad fields to highly specific res... | 2,155 | 14 | normal |
RobotisSW/ffw_sg2_rev1_task_203_0121_bokyung_1_edit | none | 0.8553 | code | 0.1371 | null | [
"robotis",
"ffw_sg2_rev1"
] | This dataset was created using [Physical AI Tools](https://github.com/ROBOTIS-GIT/physical_ai_tools) and [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
... | 4,921 | 68 | normal |
OALL/details_Qwen__Qwen3-1.7B-Base_v2 | none | 0.9759 | code | 0.0219 | null | [] | # Dataset Card for Evaluation run of Qwen/Qwen3-1.7B-Base
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Qwen/Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
The dataset is composed of 116 configuration, each one coresponding to one o... | 23,364 | 88 | normal |
HGYash/jojo_dataset | none | 0.609 | climate | 0.0995 | null | [] | 0 | 5 | normal | |
nbd22/smollm2-gsm8k-generated | none | 0.5776 | code | 0.1876 | null | [] | 0 | 5 | normal | |
tmpmodelsave/beta05dpollama3_it_gsm8k_onlytype12_with_sft_loss_300tmp07 | none | 0.6084 | code | 0.1141 | null | [] | 0 | 4 | normal | |
Windy/llama3_rewritert0_v3_10k_vsm0_a_ablt | none | 0.4785 | climate | 0.2362 | null | [] | 0 | 2 | normal | |
junyoungson/KomuRetrieval | legal | 0.462 | none | 0.4272 | null | [
"information-retrieval",
"beir",
"korean",
"retrieval",
"community-qa"
] | # KommunityRetrieval Korean BEIR Dataset
한국어 커뮤니티 스타일 질의 검색을 위한 BEIR 형식의 평가 데이터셋입니다.
## 데이터셋 개요
이 데이터셋은 한국어 정보 검색 모델의 성능을 평가하기 위해 구축된 BEIR 형식의 벤치마크 데이터셋입니다. 나무위키 문서를 기반으로 하여 다양한 스타일의 질의와 관련 문서 쌍을 포함하고 있습니다.
## 데이터셋 특징
- **문서 소스**: 나무위키
- **문서 전처리**: 최소화된 전처리로 인해 매우 긴 문서 길이
- **질의 유형**: 3가지 스타일을 포괄
- 키워드 스타일: "보스... | 3,909 | 29 | boundary |
selfcorrexp2/llama3_sft_first_corr_prompt_generation3 | none | 0.8027 | chemistry | 0.0985 | null | [] | 0 | 4 | normal | |
selinax10010/matching | none | 0.2984 | chemistry | 0.2591 | null | [] | 0 | 6 | normal | |
TAEDX/sample_data7 | none | 0.9201 | code | 0.0744 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** [More Information Needed]
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,596 | 31 | normal |
nickfuryavg/mls_eng_chunk_8700000_to_8750000 | none | 0.5946 | code | 0.1601 | null | [] | 0 | 5 | normal | |
FrancophonIA/JRC-Acquis_subcorpus_EL-FR_Vanilla_aligned-XML | none | 0.8709 | biology | 0.0329 | null | [] | > [!NOTE]
> Dataset origin: https://inventory.clarin.gr/corpus/564
## Description
The JRC-Acquis subcorpus EL-FR (Vanilla aligned-XML) is a parallel subcorpus for French and Greek, subset of the JRC-Acquis Multilingual Parallel Corpus.
## Citation
```
Joint Research Centre - European Commission (2015). JRC-Ac... | 459 | 4 | normal |
kjngansgfa/dataset_4cu0xjbe | none | 0.4561 | chemistry | 0.0962 | null | [] | 0 | 4 | normal | |
Nechintosh/ghibli | none | 0.6143 | code | 0.2508 | null | [] | ## Dataset Card for Studio Ghibli Characters
This dataset contains 810 images, collected from the free-to-use gallery of https://ghibli.jp, with custom captions written with BLIP2.
## Disclaimer
The images within this dataset have been downloaded from https://www.ghibli.jp/gallery, and as the website states, those im... | 771 | 74 | normal |
GitBag/dpo_ultrainteract_pair_lr_3e-7_beta_0.03_555134_1726844127_eval | none | 0.6895 | chemistry | 0.0976 | null | [] | 0 | 3 | normal | |
daniazie/CCAligned-sents-bi_11000 | none | 0.4927 | code | 0.1308 | null | [] | 0 | 4 | normal | |
yunx-z/MLRC-Bench | code | 0.8162 | none | 0.1643 | null | [
"agents",
"machine-learning",
"code-generation"
] | # MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
MLRC-Bench is a benchmark designed to quantify how effectively language agents can tackle challenging Machine Learning (ML) Research Competitions. It focuses on open research problems that demand novel methodologies by evaluating the key ste... | 4,551 | 23 | new_discovery |
asafxrev/so100_jenga_ | none | 0.9257 | code | 0.0682 | 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",
"... | 2,954 | 15 | normal |
nmcco/BOOKv2_combined_balanced_v1 | none | 0.5902 | chemistry | 0.1367 | null | [] | 0 | 2 | normal | |
eunjuri/towel | none | 0.9572 | code | 0.0373 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=eunjuri/towel">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<img... | 17,686 | 46 | normal |
TheFactoryX/edition_2307_albertvillanova-tests-raw-jsonl-readymade | none | 0.9826 | code | 0.0162 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2307_albertvillanova-tests-raw-jsonl-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[albertvillanova/tests-raw-jsonl](https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and... | 975 | 3 | normal |
colabfit/Ag-PBE_MSMSE_2021 | chemistry | 0.9913 | none | 0.0057 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Wang, Y., Wang, X., Zhang, L., Xu, B., and Wang, H. _Ag-PBE MSMSE 2021_. ColabFit, 2023. https://doi.org/10.60732/93adbc95</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
#### This dataset is also available on the ColabFit Exchan... | 2,231 | 5 | new_discovery |
2b2e/smoltalk-zulu-mtl | none | 0.9281 | code | 0.0595 | null | [] | # Dataset Card for Smoltalk-Zulu-Mtl
This dataset card contains details for the Smoltalk-Zulu-Mtl isiZulu dataset.
You can load a dataset using
```python
from datasets import load_dataset
ds = load_dataset("2b2e/smoltalk-zulu-mtl")
```
## Dataset Details
### Dataset Description
This dataset was created by transla... | 638 | 6 | normal |
kowndinya23/wikipedia_20231101_100M_tokens_random_split_35 | none | 0.908 | code | 0.0437 | null | [] | 0 | 42 | normal | |
emailmarketingdataset/usa-dating-dataset | none | 0.899 | cybersecurity | 0.04 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic Business Contact Dataset – USA Dating Email List
## Description
This dataset demonstrates the schema of business contact datasets used in CRM systems.
## Columns
First Name
Last Name
Company
Job Title
Email
Country
## Dataset Size
Train rows: ~119
Test rows: ~30
## Use Cases
... | 1,109 | 11 | normal |
timaeus/max_loss_delta_ablation_l1h3 | none | 0.5065 | chemistry | 0.1397 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.0_alpha_0.4_num-company_2_dataset_0_for_gen_17 | none | 0.8922 | biology | 0.0452 | null | [] | 0 | 4 | normal | |
nes0903/LLMproject_randomData | none | 0.3915 | climate | 0.1707 | null | [] | 0 | 4 | normal | |
obiwan96/obiwan96owm_raw_v3__160000_180000 | none | 0.5925 | biology | 0.1557 | null | [] | 0 | 4 | normal | |
choeyunbeom/web_novel_image | none | 0.5478 | code | 0.1472 | null | [] | 0 | 4 | normal | |
Self-GRIT/contextual_bench_hotpotqa_eval | none | 0.6265 | code | 0.1955 | null | [] | 0 | 9 | normal | |
french-open-data/effectifs-deleves-en-lycee-professionnel | none | 0.7082 | cybersecurity | 0.2712 | null | [
"eleves",
"eleves-etudiants-et-apprentis",
"etablissements",
"langues-vivantes",
"lycees-professionnels",
"dataset_for_agent"
] | # Effectifs d’élèves en lycée professionnel
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Effectifs d’élèves en lycée professionnel** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/606d2e53d8559183b29baccf
## Description
Ce jeu de d... | 592 | 8 | normal |
TheFactoryX/edition_1127_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9836 | code | 0.0146 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1127_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 4 | normal |
IAS-AJOU/llama3_net_ver4 | none | 0.4697 | biology | 0.1619 | null | [] | 0 | 4 | normal | |
pkd/pst-audio | none | 0.6649 | chemistry | 0.0871 | null | [] | 0 | 58 | normal | |
pt-eval/eval_Llama-3.2-1B-Instruct_5shot_3exp | none | 0.6282 | code | 0.2542 | null | [] | 0 | 26 | normal | |
minsuhan/fact_full_lexabsumm | none | 0.6728 | code | 0.0747 | null | [] | 0 | 3 | normal | |
ZAAAAAC/qwen2.5_rust_26k_v3 | code | 0.9222 | none | 0.0274 | null | [] | 0 | 2 | new_discovery | |
MomentFW/lite-data | none | 0.4022 | climate | 0.1857 | null | [] | 0 | 4 | normal | |
jackyckhsu98/so100_test52 | none | 0.9253 | code | 0.0705 | 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": "v2.0",
"... | 3,586 | 13 | normal |
selfcorrexp2/llama31_first_wrong_and_10kfirst_corr_regular_norr_20ktest_different_judge_token | none | 0.7958 | code | 0.0962 | null | [] | 0 | 5 | normal | |
TAUR-dev/sft_llama_acronym_4o_scored | none | 0.7253 | code | 0.0633 | null | [] | 0 | 4 | normal | |
gcc-insurance-intelligence-lab-staging/gcc-insurance-core-synthetic | code | 0.7223 | medical | 0.122 | null | [] | 0 | 11 | normal | |
TheFactoryX/edition_1032_jxcai-scale-hle-public-questions-readymade | none | 0.9855 | code | 0.0136 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1032_jxcai-scale-hle-public-questions-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[jxcai-scale/hle-public-questions](https://huggingface.co/datasets/jxcai-scale/hle-public-questions)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects ... | 978 | 182 | normal |
mlfoundations-dev/airoboros_gpt-4o-mini_v1_3_2x | none | 0.5124 | chemistry | 0.2307 | null | [] | 0 | 5 | normal |
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