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 |
|---|---|---|---|---|---|---|---|---|---|---|
BatsResearch/sib200-LexC-Gen | none | 0.9814 | code | 0.0121 | null | [
"news-topic",
"sib-200",
"sib200"
] | # Dataset Card for sib200-LexC-Gen
## 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-instan... | 4,841 | 259 | normal |
hildieleyser/record-test | none | 0.9472 | code | 0.0474 | 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",
"... | 2,943 | 2 | normal |
daniehua/dsr1-fp4-sgl-isl8192osl1024conc32 | none | 0.5767 | chemistry | 0.1474 | null | [] | 0 | 18 | normal | |
KTH/HiMo | none | 0.5475 | chemistry | 0.4013 | null | [] | HiMo: High-Speed Objects Motion Compensation in Point Clouds
---
[](https://arxiv.org/abs/2503.00803)
[](https://kin-zhang.github.io/HiMo)
[ with `quickmt`:
* Statmt-europarl-7-ita-eng
* Statmt-news_commentary-14-eng-ita
* Statmt-news_commentary-15-eng-it... | 3,901 | 460 | normal |
Neelectric/OpenR1-Math-220k_all | chemistry | 0.5062 | none | 0.1793 | null | [] | 0 | 21 | normal | |
mlfoundations-dev/b1_code_top_4_10k_eval_636d | none | 0.6159 | code | 0.3803 | null | [] | # mlfoundations-dev/b1_code_top_4_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-----... | 3,003 | 5 | normal |
yalhessi/lemexp-processed-results | none | 0.5884 | climate | 0.114 | null | [] | 0 | 5 | normal | |
biomap-research/peptide_HLA_MHC_affinity | biology | 0.8559 | chemistry | 0.1156 | null | [
"chemistry",
"biology"
] | # Dataset Card for Peptide-HLA/MHC Affinity Dataset
### Dataset Summary
The human leukocyte antigen (HLA) gene encodes major histo-compatibility complex (MHC) proteins, which can bind to peptide fragments and be presented to the cell surface for subsequent T cell receptors (TCRs) recognition. Accurately predicting t... | 2,831 | 224 | new_discovery |
jganzabalseenka/Tweet_2024-09-10T20_24hs | none | 0.5133 | finance | 0.1355 | null | [] | 0 | 4 | normal | |
HFWL-ASR/Dysarthric_moderate1_aug | biology | 0.3077 | chemistry | 0.2559 | null | [] | 0 | 4 | boundary | |
2stacks/gemma-3-instruct-comedy | none | 0.9307 | code | 0.037 | null | [
"comedy",
"humor",
"instruction-tuning",
"gemma-3",
"conversation"
] | # LLM Comedy Tunes: Instruction Tuning for Humor
**Dataset Repo:** `2stacks/gemma-3-instruct-comedy`
## Overview
This dataset contains a curated collection of **high-quality instruction-tuning examples** designed to teach Large Language Models (like Gemma 3) how to respond with humor, wit, and comedic timing.
The da... | 3,018 | 9 | normal |
nouhad/multiplication_train_1x1 | none | 0.8314 | math | 0.1304 | null | [] | # Multiplication Dataset - multiplication_train_1x1
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset ... | 401 | 5 | normal |
Nexusflow/LangChainMathBenchmark | math | 0.4419 | none | 0.1383 | null | [] | 0 | 27 | normal | |
Glass-Shard/llama3_ljh_unslot_data | none | 0.5705 | chemistry | 0.1222 | null | [] | 0 | 3 | normal | |
jccj/mh2_step_1_flip | none | 0.9627 | code | 0.0342 | 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",
"... | 7,295 | 7 | normal |
zjhhhh/iter2_7b_fullcheck_perprompt_scores_adversary_18 | none | 0.7693 | code | 0.12 | null | [] | 0 | 5 | normal | |
HZeroxium/cv-paraphrase | chemistry | 0.3345 | none | 0.252 | null | [] | 0 | 6 | boundary | |
SpaceYL/UMA_Dataset_Engine_Aero_LLM | none | 0.8689 | code | 0.047 | null | [] | # SpaceYL/Aerospatial_Dataset
## Authors
- **Youri LALAIN**, Engineering student at French Engineering School ECE
- **Lilian RAGE**, Engineering student at French Engineering School ECE
## Dataset Summary
The **SpaceYL/Aerospatial_Dataset** is a curated dataset designed for training language models in the field ... | 1,898 | 4 | normal |
neoneye/simon-arc-solve-mask-v1 | none | 0.8243 | code | 0.1558 | null | [] | # Version 1
ARC-AGI Tasks where the job is to repair the masked area.
example count: 2-4.
test count: 1-2.
image size: 4-7.
noise: 0.1, 0.2.
There are these transformations: `identify_the_masked_area`, `repair_the_masked_area` | 232 | 10 | normal |
ButterChicken98/soyabean_ymv | none | 0.4868 | biology | 0.1552 | null | [] | 0 | 4 | normal | |
emilyrnapier/enron-emails | none | 0.3902 | biology | 0.1331 | null | [] | 0 | 8 | normal | |
open-llm-leaderboard-old/details_ResplendentAI__Aura_Uncensored_l3_8B | none | 0.9469 | biology | 0.0374 | null | [] | # Dataset Card for Evaluation run of ResplendentAI/Aura_Uncensored_l3_8B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ResplendentAI/Aura_Uncensored_l3_8B](https://huggingface.co/ResplendentAI/Aura_Uncensored_l3_8B) on the [Open LLM Leaderboard](htt... | 19,229 | 10 | normal |
supergoose/buzz_sources_115_medical_meadow_mediqa | medical | 0.5843 | none | 0.3273 | null | [] | 0 | 4 | normal | |
giovannidemuri/alpacaGPT4_llama8b-er-afg-v16-seed2-french_256_ngt0.7_tp0.9 | none | 0.8242 | code | 0.1094 | null | [] | 0 | 5 | normal | |
VQA-Illusion/MNIST_train | none | 0.3587 | climate | 0.1488 | null | [] | 0 | 52 | normal | |
mlfoundations-dev/multiple_samples_majority_consensus_openr1_math_verify_clean | chemistry | 0.4887 | none | 0.4475 | null | [] | 0 | 11 | boundary | |
KMayanja/backup_and_callhome | none | 0.3628 | code | 0.1768 | null | [] | 0 | 12 | normal | |
ankile/nutsquare-paired-auto-hard-unpaired-v1-s2-r7 | none | 0.959 | code | 0.0289 | 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",
"... | 5,873 | 13 | normal |
alsubari/arabic-grammar-errors | none | 0.7428 | code | 0.0742 | null | [] | 0 | 104 | normal | |
srirangamuc/pathvqa-federated-client-10-by-image | medical | 0.8828 | none | 0.1039 | null | [] | # 🧠 PathVQA Federated (Split Per Image)
A federated learning-ready version of the [PathVQA dataset](https://huggingface.co/datasets/sbu-bmi/pathvqa), partitioned by image using perceptual hashing (`pHash`). Each client's data contains all question-answer pairs linked to unique images, mimicking a real-world distribut... | 1,303 | 24 | new_discovery |
NovaSky-AI/labeled_numina_difficulty_859K | none | 0.7246 | code | 0.1409 | null | [] | 0 | 23 | normal | |
kabelomalapane/hf_client_records_e6d5f96b | finance | 0.4208 | none | 0.261 | null | [
"observers",
"hf"
] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [M... | 4,129 | 10 | normal |
Aniket2004/doctor_new_llama | none | 0.5125 | biology | 0.1602 | null | [] | 0 | 3 | normal | |
iremmd/thy_dataset | none | 0.4391 | biology | 0.159 | null | [] | 0 | 2 | normal | |
artdev99/MNLP_M3_rag_documents_small | none | 0.538 | chemistry | 0.1394 | null | [] | 0 | 4 | normal | |
nirmalendu01/MIT-States-Cleaned | none | 0.3511 | legal | 0.1739 | null | [] | 0 | 8 | normal | |
yguooo/summarize_from_feedback_oai_preprocessing_pythia_scene2 | none | 0.4639 | chemistry | 0.1553 | null | [] | 0 | 4 | normal | |
diegopdlv5/test_dataset_0049c_split | none | 0.6433 | climate | 0.0995 | null | [] | 0 | 5 | normal | |
french-open-data/espaces-de-coworking-de-france-depuis-openstreetmap | none | 0.6513 | cybersecurity | 0.2605 | null | [
"coworking",
"osm",
"travail",
"dataset_for_agent"
] | # Espaces de coworking de France depuis OpenStreetMap
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Espaces de coworking de France depuis OpenStreetMap** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/671e116e5b9c9a7a19d9e33f
## Desc... | 537 | 9 | normal |
kowndinya23/flan2021-held-out-v9 | none | 0.6932 | code | 0.1769 | null | [] | 0 | 4 | normal | |
mugezhang/xnli-en-ipa | none | 0.4606 | chemistry | 0.1262 | null | [] | 0 | 5 | normal | |
jonathan-roberts1/zerobench | none | 0.6129 | code | 0.1859 | null | [] | <div align="center">
<h1>ZeroBench: An Impossible* Visual Benchmark for Contemporary Large Multimodal Models</h1>
🌐 [Project Page](https://zerobench.github.io/) | 📄 [Paper](https://arxiv.org/pdf/2502.09696) | [GitHub](https://github.com/jonathan-roberts1/zerobench)
</div>
*Given the recent rapid progress on benc... | 7,004 | 906 | normal |
minhthong/flashdeal_data_AAA_historical_signal | none | 0.6559 | code | 0.1014 | null | [] | 0 | 7 | normal | |
DCAgent2/DCAgent_dev_set_v2_penfever_nl2bash_gpt-5-nano-traces-8ep-restore-hp_20260302_204741 | none | 0.7175 | code | 0.2321 | null | [] | 0 | 13 | normal | |
open-llm-leaderboard-old/details_manishiitg__open-aditi-hi-v4 | none | 0.9762 | code | 0.0113 | null | [] | # Dataset Card for Evaluation run of manishiitg/open-aditi-hi-v4
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [manishiitg/open-aditi-hi-v4](https://huggingface.co/manishiitg/open-aditi-hi-v4) on the [Open LLM Leaderboard](https://huggingface.co/spac... | 19,287 | 6 | normal |
next-tat/MMDocBench | none | 0.9242 | code | 0.0385 | null | [
"LVLMs",
"Document-Understanding"
] | # MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
**MMDocBench** is an open-sourced benchmark with various OCR-free document understanding tasks for evaluating fine-grained visual perception and reasoning abilities.
For more details, please refer to the project pag... | 5,552 | 12 | normal |
chips4/vidore_v3_industrial_english_Image | none | 0.6805 | chemistry | 0.0826 | null | [] | 0 | 13 | normal | |
dsrtrain/raft_iter1_gen_with_rewards | none | 0.6126 | climate | 0.1196 | null | [] | 0 | 4 | normal | |
pdf2dataset/60d4c17912e2006c8226e26bc711235c | none | 0.5396 | biology | 0.1634 | null | [] | 0 | 4 | normal | |
ChavyvAkvar/AlphaTrade-initial-SFT-dataset | none | 0.3758 | finance | 0.2578 | null | [] | 0 | 4 | normal | |
Neelectric/wildguardmix_reasoning_Llama-3.1-8B-Instruct_4096toks_refusals_only | none | 0.4508 | code | 0.4448 | null | [] | 0 | 7 | normal | |
erickfm/mimic-melee-subset | none | 0.8541 | code | 0.1123 | null | [
"melee",
"smash-bros",
"slippi",
"imitation-learning",
"controller-inputs",
"fighting-games",
"pytorch"
] | # MIMIC Melee Subset
A small subset of [erickfm/mimic-melee](https://huggingface.co/datasets/erickfm/mimic-melee)
for quick experiments and development iteration. Same format, same
preprocessing — just fewer replays.
## Source
Sampled from [slippi-public-dataset-v3.7](https://huggingface.co/datasets/erickfm/slippi-p... | 2,753 | 15 | normal |
rumalekanayake/ms2-preprocessed-multidoc | none | 0.4805 | code | 0.0904 | null | [] | 0 | 15 | normal | |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-326-80k_42_250_64 | none | 0.7669 | code | 0.1094 | null | [] | 0 | 5 | normal | |
abbyoneill/pusht | none | 0.9157 | code | 0.0791 | 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",
"... | 3,594 | 4 | normal |
Esmaeilkiani/AnalysisDataSugarcane | finance | 0.4502 | none | 0.274 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 5 | normal |
ATR5607/eval_direct_real_50 | none | 0.9134 | code | 0.0815 | 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",
"... | 4,217 | 13 | normal |
mzio/aprm-sft_thinkact-Eact_prm_taubench_airline_100_fs1-Gaprm_qwen3_ap-S42-R1e3_b8g4-ap1-b009 | none | 0.7009 | code | 0.1917 | null | [] | 0 | 9 | normal | |
synavate/smol-llama3.1-orion-mindata-cyber-data-V2-0x0 | none | 0.7758 | code | 0.1481 | null | [] | 0 | 3 | normal | |
bgspaditya/10fold7 | none | 0.438 | climate | 0.123 | null | [] | 0 | 6 | normal | |
uniiiii/Whisper-fine-tune-p-19 | none | 0.7609 | chemistry | 0.0738 | null | [] | 0 | 3 | normal | |
jjookim/kodiarization_interview | none | 0.4156 | code | 0.1273 | null | [] | 0 | 4 | normal | |
triooy/mujoco-robot-descriptions-py-with-assets-visual | none | 0.6323 | code | 0.2107 | null | [] | 0 | 7 | normal | |
sliuau/c4-train | none | 0.4187 | chemistry | 0.1707 | null | [] | 0 | 6 | normal | |
ygkla/zweig-chess-engine-processed | none | 0.7624 | code | 0.1023 | null | [
"chess",
"maia",
"human-behavior",
"lichess",
"game-ai"
] | ## Related Projects
- 🧠 **Maia Chess / Cognitive Chess Coach**
https://github.com/ygkali/zweig-chess-engine
This dataset is designed to train human-aligned chess models such as Maia-style
ELO-conditioned neural networks.
# ♟️ Maia Chess 2025: Human-Aligned Chess Dataset
> **"Predicting human moves, n... | 3,994 | 12 | normal |
summer1000/koch_test_50 | none | 0.923 | code | 0.0721 | null | [
"tutorial50"
] | 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 | 7 | normal |
ssktora/miracl-train-bm25-pyserini-20-dev | none | 0.6836 | code | 0.1579 | null | [] | 0 | 4 | normal | |
Geniuss/Pyhsics_Dataset | none | 0.5394 | code | 0.1301 | null | [
"physics"
] | 0 | 5 | normal | |
mlfoundations-dev/b2_math_fasttext_pos_openr1_math_neg_lap1official_math_10k_eval_636d | none | 0.8729 | math | 0.1121 | null | [] | # mlfoundations-dev/b2_math_fasttext_pos_openr1_math_neg_lap1official_math_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|... | 3,038 | 5 | normal |
nrhone/male-black-hairstyles | none | 0.6989 | biology | 0.1161 | null | [] | Dataset for a LORA that will help stable diffusion identify different black male hairstyles. | 92 | 2 | normal |
thng292/Medical-R1-Distill-ChatML-lt4096 | medical | 0.7453 | none | 0.1089 | null | [] | 0 | 912 | normal | |
stargazer89/StableDiffusion | none | 0.4805 | chemistry | 0.2446 | null | [] | 0 | 4 | normal | |
BarryFutureman/vox2_3D_ditto_shard_19 | none | 0.541 | chemistry | 0.1004 | null | [] | 0 | 4 | normal | |
Pankayaraj/Item_qwen_simcse_dataset_v3_simcse_hn | none | 0.7283 | climate | 0.0889 | null | [] | 0 | 9 | normal | |
mteb/MACS_t2a | none | 0.7891 | chemistry | 0.1521 | null | [] | # Dataset Card for "MACS_t2a"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 162 | 58 | normal |
abhishek5701/1st_tokenized_dataset_by_Abhishek | none | 0.8254 | legal | 0.0374 | null | [] | 0 | 4 | normal | |
TAUR-dev/SF-Eval-SIE-Countdown3arg-AU_BoN-rl-1751297677_263971 | none | 0.849 | code | 0.0879 | null | [] | 0 | 5 | normal | |
TheFactoryX/edition_2820_deepmind-code_contests-readymade | code | 0.9483 | none | 0.0407 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2820_deepmind-code_contests-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as ... | 948 | 7 | new_discovery |
Yuanxin-Liu/RLHF_6k_iter2 | none | 0.3338 | chemistry | 0.2263 | null | [] | 0 | 3 | normal | |
iknow-lab/spider-trl-241114 | none | 0.4013 | chemistry | 0.2191 | null | [] | 0 | 5 | normal | |
userdata/merged-dataset-4kOnline-500Manual | none | 0.8593 | code | 0.0674 | null | [] | 0 | 3 | normal | |
rmsdud/complaints | legal | 0.3082 | none | 0.2096 | null | [] | 0 | 5 | boundary | |
DynamicSuperb/MARBLEBeatTracking_ASAP_MAESTRO | none | 0.3624 | biology | 0.2441 | null | [] | 0 | 17 | normal | |
Franky123/lora_dataset_04024bd7 | none | 0.3411 | climate | 0.1865 | null | [] | 0 | 3 | normal | |
ssmmzz/label_Coh | none | 0.2836 | chemistry | 0.264 | null | [] | 0 | 2 | normal | |
abemii/c_g_v8-20251207_132401 | none | 0.9306 | code | 0.0653 | 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",
"... | 4,399 | 9 | normal |
msu-ceco/farmpro-qa-600 | none | 0.5941 | chemistry | 0.1182 | null | [] | 0 | 18 | normal | |
introvoyz041/putnam-axiom-dataset-ICML-2025-522 | math | 0.9956 | none | 0.0021 | null | [] | # Putnam AXIOM Dataset (ICML 2025 Version)
**Note: for questions, feedback, bugs, etc. please [open a Huggingface discussion here](https://huggingface.co/datasets/Putnam-AXIOM/putnam-axiom-dataset-ICML-2025-522/discussions).**
## Dataset Summary
The [**Putnam AXIOM**](https://openreview.net/pdf?id=YXnwlZe0yf) datase... | 4,947 | 7 | new_discovery |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_aa91762a-8454-4bb9-9747-a5ce865d925d | none | 0.6707 | code | 0.1479 | null | [] | 0 | 3 | normal | |
huseyinkule/munir2 | none | 0.9308 | code | 0.0324 | null | [] | # Dataset Card for "munir2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 160 | 4 | normal |
jknafou/TransCorpus-bio-hi | biology | 0.7962 | medical | 0.1002 | null | [
"life-sciences",
"clinical",
"biomedical",
"bio",
"medical",
"biology"
] | # TransCorpus-bio-hi
**TransCorpus-bio-hi** is a large-scale, parallel biomedical corpus consisting of Hindi synthetic translations of PubMed abstracts. This dataset was created using the TransCorpus framework and is designed to enable high-quality Hindi biomedical language modeling and downstream NLP research.
# Data... | 4,308 | 61 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent2-nl2bash-verified-glm-4-6-traces-32ep-32k-wr0-80341652 | code | 0.7594 | none | 0.2119 | null | [] | 0 | 9 | normal | |
gokulp01/so100_teleop_100s_20260220_204502 | none | 0.9557 | code | 0.0401 | 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",
"... | 2,278 | 15 | normal |
0x00001111/characters | none | 0.5632 | chemistry | 0.1301 | null | [] | 0 | 5 | normal | |
zjhhhh/7b_iter1_vec_rlcf_scores_18 | none | 0.6495 | chemistry | 0.119 | null | [] | 0 | 5 | normal | |
french-open-data/reseau-interurbain-cars-region-loire-42 | cybersecurity | 0.5522 | none | 0.3467 | null | [
"dataset_for_agent"
] | # Réseau interurbain Cars Région Loire (42)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Réseau interurbain Cars Région Loire (42)** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/607862167487e5d490677f13
## Description
Ce jeu de d... | 883 | 6 | normal |
hgissbkh/synthetic-rag-dataset | none | 0.4297 | chemistry | 0.2711 | null | [] | 0 | 6 | normal | |
llama-duo/gemma2b-classification-eval-by-claude3sonnet | none | 0.9074 | code | 0.0276 | null | [] | 0 | 8 | normal | |
barandinho/OpenTurkishDiverseReasoning-5k | math | 0.7971 | none | 0.1859 | null | [
"math",
"code",
"reasoning",
"turkish",
"instruct",
"SFT"
] | # OpenTurkishDiverseReasoning-5k
A high-quality Turkish reasoning dataset containing detailed thinking traces generated by DeepSeek-R1-0528. This dataset consists of 5,000 diverse instruction-response pairs with comprehensive reasoning patterns in Turkish.
## 📊 Dataset Overview
- **Size**: 5,000 samples
- **Languag... | 2,228 | 13 | normal |
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