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 |
|---|---|---|---|---|---|---|---|---|---|---|
gaozj/logu_lift_bottle_standard_2_fixed | none | 0.8917 | code | 0.1028 | null | [
"teleop",
"panda"
] | 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"... | 3,609 | 71 | normal |
benjleite/FairytaleQA-translated-spanish | none | 0.9773 | code | 0.0156 | null | [
"question-answering",
"question-generation",
"education",
"children education"
] | # Dataset Card for FairytaleQA-translated-ptBR
## Dataset Description
- **Homepage:**
- **Repository:** https://github.com/bernardoleite/fairytaleqa-translated
- **Paper:** https://arxiv.org/abs/2406.04233v1
- **Leaderboard:** https://paperswithcode.com/sota/question-generation-on-fairytaleqa
- **Point of Contact:**... | 6,668 | 57 | normal |
DrainpipeAI/RedSpiceV42 | none | 0.8973 | code | 0.0967 | 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",
"... | 3,171 | 7 | normal |
YuryyyLee/ortho10view3k_left | none | 0.5112 | code | 0.2049 | null | [] | 0 | 27 | normal | |
LPSlvlv/ur5_blueblock_box_15 | none | 0.8757 | code | 0.118 | null | [
"ur5",
"ur5e",
"pick-and-place",
"blue-block"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=LPSlvlv/ur5_blueblock_box_15">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset... | 3,241 | 13 | normal |
Longyibyl/first_dataset | none | 0.9273 | code | 0.0664 | 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"... | 3,072 | 7 | normal |
Diden/TTT_chatbot | none | 0.5743 | climate | 0.1286 | null | [] | 0 | 6 | normal | |
ewedubs/linux-kernel-commits-aireason-instruct | code | 0.9758 | none | 0.0119 | code | [
"code",
"linux-kernel",
"patches",
"instruction-tuning",
"code-generation"
] | # Linux Kernel Code Patches Dataset
High-quality Linux kernel commit patches for training code generation and understanding models.
## Dataset Description
This dataset contains 144,089 curated Linux kernel commits with:
- Commit messages (instruction)
- Smart-extracted code context (input)
- Unified diff patches (ou... | 2,073 | 120 | normal |
saillab/alpaca_kannada_taco | none | 0.8388 | code | 0.1052 | null | [] | This repository contains the dataset used for the TaCo paper.
The dataset follows the style outlined in the TaCo paper, as follows:
```
{
"instruction": "instruction in xx",
"input": "input in xx",
"output": "Instruction in English: instruction in en ,
Response in English: response in en ,
R... | 1,360 | 6 | normal |
dgorbatov/vlmn_tartandrive100_scand50_coda25_spot100_sub5_filtered_trajectories_training_10_fixed | none | 0.8871 | code | 0.0437 | null | [] | 0 | 5 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_QwQ-32B_mneutral_insert_random_characters_t90 | none | 0.5311 | math | 0.1876 | null | [] | 0 | 4 | normal | |
AllTheBacteria/ATB-representative-ids | biology | 0.993 | none | 0.0035 | null | [] | List of sample identifiers from [ATB](https://allthebacteria.org) deduplicated at varying levels of identity based on nucleotide sequence using [sketchlib](https://docs.rs/sketchlib/latest/sketchlib/) v0.2.4.
Sketching and distance calculation conducted with below commands
```
sketchlib sketch -f ${infile} -o ${outpre... | 623 | 29 | new_discovery |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-11298a0e01f1 | none | 0.8261 | biology | 0.0965 | null | [] | 0 | 10 | normal | |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_3args_ours-countdown_5arg__v1 | none | 0.7648 | code | 0.1657 | null | [] | 0 | 5 | normal | |
Dejian0/eval_ds3_recordpolicy1_9 | none | 0.9001 | code | 0.0947 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Dejian0/eval_ds3_recordpolicy1_9">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dat... | 3,257 | 21 | normal |
cijerezg/eval_pickplace-single-task-v4.01 | none | 0.8881 | code | 0.1084 | 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",
"... | 4,211 | 6 | normal |
AbstractPhil/geometric-vocab-100d | none | 0.521 | math | 0.1815 | null | [] | 0 | 13 | normal | |
als-rixs/CFET-raw-energy-order-dataset-demo | chemistry | 0.4057 | none | 0.2651 | null | [] | 0 | 4 | boundary | |
InstaDeepAI/SPICE2-curated | chemistry | 0.9979 | none | 0.001 | null | [] | # Update
As of the mlip v0.1.2 release, the SPICE2 curated dataset was also updated.
The main reason the removal of a small number of structures that led to unusually high energy errors with our models.
We also wanted to remove structures with Li, K and Na atomis, as these elements were absent from the validation set.
... | 1,866 | 37 | new_discovery |
ErikaaWang/M_0_generated__NormAd__mistral-news_r_test | none | 0.6002 | climate | 0.138 | null | [] | 0 | 4 | normal | |
chiyuanhsiao/audio_merge-ties-replay_llama-questions | none | 0.7707 | code | 0.0911 | null | [] | 0 | 3 | normal | |
aarabil/clcp_massive | none | 0.3997 | chemistry | 0.2399 | null | [] | 0 | 7 | normal | |
justus27/lightr1-sft-stage-1 | none | 0.6512 | code | 0.1093 | null | [] | 0 | 3 | normal | |
neonwatty/amazon_reviews_multi | none | 0.5611 | finance | 0.0814 | null | [] | 0 | 71 | normal | |
ESITime/T2G-1k-Llama3.2-3B | none | 0.7554 | code | 0.1989 | null | [] | # T2G
## Overview
T2G is a synthetic data consisting of text-graph pairs designed to finetune LLMs on information extraction tasks, specifically text-to-graph conversion.
## Dataset Structure
The dataset is organized into the following main components:
Train Set: 800 instances for training models.
Validation Set... | 1,812 | 3 | normal |
iagoalves/camarao_dorme_onda_leva4 | biology | 0.9177 | chemistry | 0.0272 | null | [] | 0 | 5 | new_discovery | |
Sakalti/PossitivaAI | none | 0.4562 | biology | 0.1271 | null | [] | 0 | 6 | normal | |
quzhe/agieval-lsat-lr | none | 0.3903 | chemistry | 0.1269 | null | [] | 0 | 5 | normal | |
WangMuzhi/Med_Consult_Dataset_Test_2k | biology | 0.3922 | medical | 0.217 | null | [] | 0 | 5 | normal | |
adcg1355/abstractive-summaries-20k-trimmed-150-noprefix | none | 0.7395 | legal | 0.088 | null | [] | 0 | 12 | normal | |
lucoa/do | none | 0.3703 | biology | 0.1978 | null | [] | 0 | 5 | normal | |
Ibuki485/elase_12 | none | 0.9313 | code | 0.0631 | 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",
"... | 2,943 | 21 | normal |
younghyopark/pick_tblock_mp_centered_debug2 | none | 0.9466 | code | 0.0393 | 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",
"... | 13,907 | 4 | normal |
TAUR-dev/SF-Eval-SIE-Countdown3arg-AReC-rl-1751301871_355561 | none | 0.6192 | code | 0.2911 | null | [] | 0 | 5 | normal | |
umsa-v1/historia_bolivia_v2-Grupo6 | none | 0.5526 | biology | 0.2349 | null | [] | 0 | 8 | normal | |
ptrdvn/kakugo-plt | none | 0.9686 | code | 0.0273 | null | [
"low-resource-language",
"data-distillation",
"conversation",
"plt",
"Plateau Malagasy"
] | # Kakugo Plateau Malagasy dataset
[[Paper]](https://arxiv.org/abs/2601.14051) [[Code]](https://github.com/Peter-Devine/kakugo) [[Model]](https://huggingface.co/ptrdvn/kakugo-3B-plt)
<p align="center">
A synthetically generated conversation dataset for training in Plateau Malagasy.
<img src="https://cdn-uploads.hu... | 3,750 | 30 | normal |
jaeyong2/Reason-Qwen3-1.7B-En | none | 0.525 | code | 0.1974 | null | [] | 0 | 3 | normal | |
shylee/eval_temp20 | none | 0.8886 | code | 0.1037 | null | [
"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",
"... | 4,215 | 4 | normal |
Parveshiiii/Complete-it | none | 0.8804 | code | 0.1147 | null | [] | # Complete-it
## Dataset Summary
The **Complete-it** dataset is designed for training and evaluating **text auto-completion models**. It provides structured prompt–completion pairs that can be used to fine-tune language models for predictive typing, code completion, or general text continuation tasks.
This dataset... | 2,383 | 27 | normal |
JalilH/ml_finetuned_arc_ml_results | none | 0.8651 | biology | 0.0474 | null | [] | # Dataset Card for Evaluation run of JalilH/ml_finetuned_gemma
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [JalilH/ml_finetuned_gemma](https://huggingface.co/JalilH/ml_finetuned_gemma)
The dataset is composed of 0 configuration(s), each one corresp... | 5,901 | 4 | normal |
mateoguaman/vamos_25pct_gpt5_nano | none | 0.983 | cybersecurity | 0.0055 | null | [
"vlm-navigation"
] | # vamos_25pct_gpt5_nano
## Description
VLN Navigation dataset with 100% of tartandrive data, 50% of scand data, 25% of coda data, 100% of in-domain spot data, and 25% of annotated/augmented data using gpt5-nano. Whenever daatsets aren't 100%, they are ranked by curvature and output of length 5.
## Processing Paramet... | 941 | 16 | normal |
michsethowusu/french-kabyle_sentence-pairs | none | 0.9911 | code | 0.0043 | null | [] | # French-Kabyle_Sentence-Pairs Dataset
This dataset can be used for machine translation, sentence alignment, or other natural language processing tasks.
It is based on the NLLBv1 dataset, published on OPUS under an open-source initiative led by META. You can find more information here: [OPUS - NLLB-v1](https://opus.n... | 2,694 | 5 | normal |
rediska0123/test_math_no_prm800k_Apertus | math | 0.3754 | none | 0.345 | null | [] | 0 | 19 | boundary | |
Mharis205/MIT-PLAGAIRISM-DETECTION-DATASET | none | 0.944 | code | 0.0178 | null | [
"Plagairism"
] | # **Plagiarism Detection Dataset**
## **Overview**
This dataset is designed for text classification tasks, specifically for detecting plagiarism between pairs of sentences. It contains over 350,000 samples with three columns:
- **sentence1**: The first sentence in the pair.
- **sentence2**: The second sentence i... | 827 | 32 | normal |
reasoning-proj/exp_rob_dfiltered_DeepSeek-R1-Distill-Llama-8B_mbenign_rewrite_trace_t50 | none | 0.3588 | code | 0.2846 | null | [] | 0 | 3 | normal | |
jasperyeoh2/backtranslated-lima-cleaned | none | 0.5384 | code | 0.1675 | null | [
"llama",
"instruction-tuning",
"self-alignment",
"backtranslation"
] | 0 | 4 | normal | |
Yugratna/geometric_text_qa | none | 0.4816 | climate | 0.148 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_laion_kimi-k2-r2egym_sandboxes-maxeps-32k_20251226_004652 | none | 0.8295 | code | 0.139 | null | [] | 0 | 9 | normal | |
sergiov2000/so100_movella_pick_ball_B1 | none | 0.9316 | code | 0.0644 | 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",
"... | 3,584 | 39 | normal |
sprinklr-huggingface/CXM_Arena | none | 0.6862 | cybersecurity | 0.165 | null | [
"croissant"
] | # Dataset Card for CXM Arena Benchmark Suite
## Dataset Description
This dataset, "CXM Arena Benchmark Suite," is a comprehensive collection designed to evaluate various AI capabilities within the Customer Experience Management (CXM) domain. It consolidates five distinct tasks into a unified benchmark, enabling robus... | 13,771 | 263 | normal |
ashercn97/reasoning-data-v2-2 | none | 0.6094 | math | 0.1497 | null | [] | 0 | 4 | normal | |
helenai/summarize-long-texts | none | 0.928 | code | 0.0691 | null | [] | # Summarize long texts
This dataset provides long prompts intended to use for testing language models with long inputs with different sizes.
## Columns
- id: numerical id
- source: the source of the prompt text
- length: indication of length of the prompt
- text: the text of the prompt
## Item lengths
... | 1,787 | 21 | normal |
Aniruddh79012/x_dataset_122 | none | 0.8762 | cybersecurity | 0.0729 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,329 | 3 | normal |
dgambettaphd/D_llm3_gen10_run0_W_doc1000_synt64_tot128_FRESH | none | 0.6778 | code | 0.1617 | null | [] | 0 | 5 | normal | |
test-gen/code_livecodebench_qwen2.5-3b_t1.0_n8_tests_livecodebench_qwen2.5-3b_t0.0_n1 | code | 0.8332 | none | 0.1555 | null | [] | 0 | 5 | new_discovery | |
mlfoundations-dev/c1_math_10d_1s_10k_eval_636d | none | 0.8181 | math | 0.1531 | null | [] | # mlfoundations-dev/c1_math_10d_1s_10k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-----... | 2,991 | 5 | normal |
han5i5j1986/eval_koch_lego_2024-10-17-02 | none | 0.8363 | code | 0.1155 | null | [
"lego",
"eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 39 | normal |
jasonmeaux/so101_teleop_test | none | 0.94 | code | 0.0548 | 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",
"... | 3,576 | 11 | normal |
oggata/record-transport-markers | none | 0.9256 | code | 0.0696 | 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 | 7 | normal |
sutro/synthetic-customer-support-dialogues-20k | none | 0.7805 | cybersecurity | 0.1543 | null | [] | Dataset associated with https://docs.sutro.sh/examples/synthetic-data-privacy. | 78 | 18 | normal |
reefzehavi/EDA-US-Bankruptcy-Prediction | finance | 0.9954 | legal | 0.0025 | null | [] | # Assignment 1: EDA - US Company Bankruptcy Prediction
**Student Name:** Reef Zehavi
**Date:** November 10, 2025
---
## 📹 Project Presentation Video
**[(https://www.loom.com/share/6920e493e8654ef3bb4f67a10eb9b03d)]**
---
## 1. Overview and Project Goal
The goal of this project is to perform Exploratory Data Ana... | 4,081 | 23 | new_discovery |
AymanMansour/lightning_Pseudo_labeled | none | 0.4918 | climate | 0.1395 | null | [] | 0 | 6 | normal | |
dvilasuero/img-prefs | none | 0.7629 | code | 0.1566 | null | [
"distilabel",
"rlaif"
] | <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 img-prefs
This dataset has been created with [d... | 1,486 | 3 | normal |
DenyTranDFW/Honda_Auto_Receivables_2019_1_Owner_Trust_1765556 | none | 0.9318 | legal | 0.0277 | null | [] | | cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1765556 | ABS-EE | 0000950131-19-000390 | 333-228592-01 | 19593868 | 2019-01-31 | https://sec.gov/Archives/edgar/data/1765556/000095013119000390|... | 6,791 | 4 | normal |
hassaan-qaisar/arena_3 | climate | 0.4105 | none | 0.3748 | null | [
"distilabel",
"rlaif"
] | <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 arena_3
This dataset has been created with [dis... | 6,114 | 22 | boundary |
zerostratos/fineweb-2-vie-2022-cleaned | none | 0.6893 | code | 0.1061 | null | [] | 0 | 9 | normal | |
zjhhhh/iter2_7b_multi_perprompt_scores_adversary_31 | none | 0.8257 | code | 0.0732 | null | [] | 0 | 4 | normal | |
Data-Agora/magpie_code_gpt4o_mini_25000 | none | 0.5131 | code | 0.3374 | null | [] | 0 | 3 | normal | |
raultherockstar1/RAUL | none | 0.7131 | code | 0.1247 | null | [] | 0 | 4 | normal | |
haha-anisha/finaldataset | none | 0.6576 | climate | 0.0651 | null | [] | 0 | 2 | normal | |
dgambettaphd/D_llm2_run1_gen3_W_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.7997 | code | 0.0687 | null | [] | 0 | 5 | normal | |
neoneye/simon-arc-combine-v35 | none | 0.9116 | climate | 0.0352 | null | [] | # Version 1
A combination of multiple datasets.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 2
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 3
Datasets: `dataset_solve_color.jsonl`,... | 3,726 | 9 | normal |
BruhMays/man-face-lora-dataset | none | 0.9644 | code | 0.0152 | null | [] | # Man Face LoRA Training Dataset
This dataset contains 12 face images for training a Stable Diffusion LoRA model.
## Contents
- 12 face images (512x512 resolution)
- Caption files with trigger word "man face"
## Usage
Used for training a LoRA model on Hugging Face Jobs infrastructure.
## License
Private dataset ... | 337 | 117 | normal |
kunmukh/MoltGraph | none | 0.7049 | code | 0.2802 | null | [
"agent"
] | - Database setup and schema information here [kunmukh/moltgraph](https://github.com/kunmukh/moltgraph/).
## Neo4j Version
```shell
5.26.16
```
## Database restore
- To restore
```shell
docker stop moltbook-neo4j
docker run --rm -it \
--user=0:0 \
-v moltbook_neo4j_data:/data \
-v "$PWD:/backups:Z" \
neo4j:... | 9,049 | 25 | normal |
melhoushi/baseline_gptq_dataset_code | none | 0.5915 | chemistry | 0.1152 | null | [] | 0 | 8 | normal | |
zjhhhh/stage2_preprocessed | none | 0.4606 | chemistry | 0.1741 | null | [] | 0 | 3 | normal | |
ainewtrend01/Fns8 | none | 0.3366 | climate | 0.1924 | null | [] | 0 | 30 | normal | |
22t1044/shodo10 | none | 0.9239 | code | 0.0708 | 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",
"... | 3,581 | 9 | normal |
chiyuanhsiao/text_merge-ties_mmlu-prob | none | 0.6488 | climate | 0.1207 | null | [] | 0 | 4 | normal | |
mengdili/Marco-Pruned-K16-k-8-epoch-1_math_test_8192_normal_K-1 | math | 0.5851 | none | 0.2756 | null | [] | 0 | 4 | normal | |
french-open-data/desserte-des-stations-de-ski-iseroises-transaltitude-38 | none | 0.7994 | biology | 0.0776 | null | [
"dataset_for_agent"
] | # Desserte des stations de ski iséroises Transaltitude (38)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Desserte des stations de ski iséroises Transaltitude (38)** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/678d0721a9efa066b6eed... | 555 | 7 | normal |
Amss007/ultrasound_dataset_v3_1 | none | 0.5695 | climate | 0.1169 | null | [] | 0 | 26 | normal | |
michsethowusu/kamba-emotions-corpus | none | 0.8453 | cybersecurity | 0.1138 | null | [
"emotion",
"african-languages",
"nlp",
"text-classification"
] | # Kamba Emotion Analysis Corpus
## Dataset Description
This dataset contains emotion-labeled text data in Kamba for emotion classification (joy, sadness, anger, fear, surprise, disgust, neutral). Emotions were extracted and processed from the English meanings of the sentences using the model `j-hartmann/emotion-engli... | 2,018 | 34 | normal |
mlfoundations-dev/Qwen2.5-7B-Instruct_eval_e3ef | none | 0.9661 | code | 0.0147 | null | [] | # mlfoundations-dev/Qwen2.5-7B-Instruct_eval_e3ef
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME25
- **Average Accuracy**: 6.67% ± 1.15%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 3.33% | 1 |... | 536 | 5 | normal |
relaxedandcalm/mcx_tracker_95_gripper_button | none | 0.9238 | code | 0.0682 | null | [
"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",
"... | 2,510 | 6 | normal |
SAA-Lab/test_jan23-cwv-genrm_cot_llama8b-ckptglobal_step_64 | none | 0.5107 | climate | 0.2399 | null | [] | 0 | 5 | normal | |
KISTI-KONI/ScholarBench | none | 0.7173 | medical | 0.1139 | null | [] | # 📘 ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts
**Maintained by**: Large-scale AI Research Center, Division of National Supercomputing, Korea Institute of Science and Technology Information (KISTI)
**License**: [CC BY-ND 4.0](https://creativecomm... | 5,684 | 60 | normal |
mddoai/eval_pi0.5_sorting_095947 | none | 0.9171 | code | 0.0779 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=mddoai/eval_pi0.5_sorting_095947">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dat... | 3,259 | 15 | normal |
FoteiniTag/10samples_for_each_samples | none | 0.4846 | chemistry | 0.1465 | null | [] | 0 | 27 | normal | |
choihy/mtg-l3ac | none | 0.8768 | code | 0.0506 | null | [
"audio",
"music",
"neural-audio-codec",
"l3ac"
] | # MTG-Jamendo for L3AC
This dataset is a preprocessed subset of the MTG-Jamendo dataset,
prepared for neural audio codec experiments (L3AC).
## Structure
train/ \
eval/ \
test/
## Audio
- Sample rate: 24 kHz
- Clip length: 25 seconds
## How to Download and Use
### using HF library
```
from datasets import load_dat... | 864 | 15 | normal |
french-open-data/concentrations-cartographiees-de-la-moyenne-annuelle-de-no2-en-2021-mulhouse | cybersecurity | 0.5925 | none | 0.3429 | null | [
"air",
"concentration-de-polluant",
"donnees-environnementales",
"modelisation",
"mulhouse",
"no2",
"pollution-atmospherique",
"dataset_for_agent"
] | # Concentrations cartographiées de la moyenne annuelle de NO2 en 2021 - Mulhouse
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Concentrations cartographiées de la moyenne annuelle de NO2 en 2021 - Mulhouse** qui est disponible à l'adresse https://www.d... | 1,053 | 7 | normal |
phospho-app/Marker_pickup_piper-wesc | none | 0.8829 | code | 0.1093 | 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
{
"robot_type": "agilex-piper",
... | 3,493 | 9 | normal |
tmpmodelsave/beta05_70btype12_sftloss_250tmp10 | none | 0.503 | climate | 0.1565 | null | [] | 0 | 4 | normal | |
y1203t/1029 | none | 0.6463 | code | 0.1494 | null | [] | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [... | 5,033 | 26 | normal |
Ramitha/sl-results-40-gemma-bk | none | 0.65 | chemistry | 0.0807 | null | [] | 0 | 8 | normal | |
fumiyau/c4-ja-100000-lf-result-0-50000 | none | 0.7464 | chemistry | 0.0745 | null | [] | 0 | 4 | normal | |
ashabrawy/STTS_trial | none | 0.3642 | biology | 0.1543 | null | [] | 0 | 5 | normal | |
yuri-no/openbookqa-ita | none | 0.9845 | code | 0.0084 | null | [] | ## Dataset Details
This is an Italian translated version of the **test only** dataset [allenai/openbookqa](https://huggingface.co/datasets/allenai/openbookqa).
The dataset was translated using the Palm 2 Google API. | 217 | 166 | normal |
arcee-ai/sec-data-documents | none | 0.7196 | cybersecurity | 0.0659 | null | [] | 0 | 14 | normal | |
Multimedia-SMU/seeingculture-benchmark | none | 0.9455 | code | 0.034 | null | [
"vqa",
"cultural-understanding",
"cultural"
] | [Paper](https://huggingface.co/papers/2509.16517) | [Project Page](https://seeingculture-benchmark.github.io/) | [Code](https://github.com/buraksatar/SeeingCulture)
# Seeing Culture Benchmark (SCB)
## Evaluating Visual Reasoning and Grounding in Cultural Context
![Seeing Culture: A Benchmark for Visual Reasoning and... | 4,337 | 68 | normal |
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