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 |
|---|---|---|---|---|---|---|---|---|---|---|
neginr/phi_27K_qwq_3K_lambda_0.9 | chemistry | 0.5022 | none | 0.2515 | null | [] | 0 | 8 | normal | |
Jacksss123/x_dataset_44_ | none | 0.9142 | code | 0.0346 | 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... | 7,267 | 8 | normal |
Hibou-Foundation/irmas_ds_1 | none | 0.497 | biology | 0.1119 | null | [] | 0 | 65 | normal | |
KarimML371/CoT2.0 | none | 0.311 | chemistry | 0.2436 | null | [
"camel",
"question-answering"
] | 0 | 8 | normal | |
yurunyyr/agentic-nonNorm-futoshiki-Markov-qwen3-4B_SFT_prm0_negR-1_gm0_actor-eval_results_state_model | none | 0.8564 | chemistry | 0.0427 | null | [] | 0 | 4 | normal | |
nouhad/multiplication_5_by_4_100_test | none | 0.728 | math | 0.2041 | null | [] | # Multiplication Dataset - multiplication_5_by_4_100_test
This dataset contains multiplication problems and their solutions.
## Dataset Format
- `messages`: List of message dictionaries with user questions and assistant answers
- `ground_truth`: The correct solution for each problem
- `dataset`: Always "multiplicati... | 344 | 5 | normal |
atgao/uxbench | none | 0.3982 | biology | 0.1193 | null | [] | 0 | 120 | normal | |
asingh15/arc-barc-processed-direct-max4k-sftabsfullprobs-trl1e5bs256-1231 | none | 0.8871 | code | 0.0539 | null | [] | 0 | 14 | normal | |
minhxle/barc-induction-modified-programs-2k-convo-style | none | 0.6121 | code | 0.2336 | null | [] | 0 | 13 | normal | |
hcoxec/french_german_mix | none | 0.6514 | chemistry | 0.0991 | null | [] | 0 | 5 | normal | |
studyco/ichigo-so101-pick-and-place-cube-50ep-v1 | none | 0.9163 | code | 0.08 | 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",
"... | 3,578 | 27 | normal |
yusufyusufyusuf1/test | none | 0.9388 | code | 0.0565 | 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 | 6 | normal |
mlfoundations-dev/d1_math_all_large_10k | chemistry | 0.3779 | math | 0.3128 | null | [] | 0 | 4 | boundary | |
pxyyy/rlhflow_mixture_clean_empty_round_with_dart-math_scalebiosampled-600k | none | 0.6201 | chemistry | 0.1908 | null | [] | 0 | 5 | normal | |
Cheremy/processed_scidocs_queries | none | 0.5522 | climate | 0.1292 | null | [] | 0 | 3 | normal | |
acengnew/basic-command-understanding-dataset | none | 0.8185 | code | 0.1452 | null | [] | Basic Command Understanding Dataset
This dataset contains simple textual commands and corresponding
interpretations intended for testing basic instruction comprehension. | 170 | 7 | normal |
diwank/slimorca-autoj-evaluated | none | 0.6981 | climate | 0.0669 | null | [] | 0 | 5 | normal | |
hirundo-io/cbbq-gender-unbias-multi-choice | none | 0.9149 | climate | 0.0257 | null | [] | 0 | 19 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_75665bde-2fc2-4c23-931f-cef352936c83 | none | 0.5853 | code | 0.1827 | null | [] | 0 | 3 | normal | |
argilla/OpenHermes2.5-dpo-binarized-alpha | none | 0.7761 | code | 0.181 | null | [
"distilabel",
"rlaif",
"rlhf",
"dpo"
] | # OpenHermes-2.5-DPO-binarized-alpha
> A DPO dataset built with [distilabel](https://github.com/argilla-io/distilabel) atop the awesome [OpenHermes-2.5 dataset](https://huggingface.co/datasets/teknium/OpenHermes-2.5).
> This is an alpha version with a small sample to collect feedback from the community. It follows a ... | 5,374 | 91 | normal |
darkknight25/redteam_manualcommands | code | 0.491 | cybersecurity | 0.4641 | null | [] | ---
license: mit
size_categories:
- n<1K
---# RTFM Manual Commands Dataset
A structured and machine-readable dataset extracted from the **Red Team Field Manual (RTFM)**. This collection of categorized terminal commands is designed for use in cybersecurity tooling, AI fine-tuning, command recommendation engines, and re... | 1,904 | 65 | boundary |
msiudek/astroPT_euclid_VIS_embeddings | none | 0.308 | biology | 0.2738 | null | [] | # AstroPT Euclid Embeddings
Pre-computed embeddings from the [AstroPT VIS Model](https://huggingface.co/msiudek/astroPT_euclid_VIS_model) on Euclid dataset samples.
## Overview
This repository contains pre-computed feature embeddings generated by AstroPT models applied to the Euclid Q1 galaxy dataset. These embeddin... | 2,636 | 17 | normal |
dgambettaphd/D_llm3_gen6_run0_W_doc1000_synt120_SYNLAST | none | 0.7498 | code | 0.1039 | null | [] | 0 | 5 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_franka_3rgb_place_in_fruit_in_fruit_basket | none | 0.7433 | biology | 0.1934 | null | [] | # benchmark1_0_release_franka_3rgb_place_in_fruit_in_fruit_basket
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: franka_3rgb
末端执行器: 夹爪
任务平台显示版: 将水果放入水果篮
total_episodes: 77
total_tasks: 1
size: 348.4M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── fil... | 960 | 26 | normal |
088ankit088/dataset | none | 0.4748 | climate | 0.1279 | null | [] | 0 | 4 | normal | |
iaravagni/BenderGestalt | medical | 0.6225 | none | 0.2309 | null | [] | # Bender-Gestalt Test Dataset
## Executive Summary
The Bender-Gestalt Test (BGT), or Bender Visual-Motor Gestalt Test, is commonly used in pre-employment psychological assessments to evaluate candidates' cognitive and motor skills, particularly visual-motor integration. By reproducing geometric figures, candidates ... | 5,731 | 15 | normal |
Joooorrit/twitter_dataset_1718732974 | none | 0.5897 | climate | 0.1071 | null | [] | 0 | 3 | normal | |
Kelvin878/mvtec | none | 0.3084 | chemistry | 0.2091 | null | [] | 0 | 20 | normal | |
maikezu/iwslt2026-metrics-shared-train-dev | none | 0.99 | code | 0.0038 | null | [
"quality-estimation",
"speech-translation",
"speech"
] | # Metrics-Shared Task IWSLT 2026 Train and Dev Set
This dataset contains the train and dev sets for the **Speech Translation Metrics Shared Task** at **IWSLT 2026**. More details about the shared task can be found on the [IWSLT website](https://iwslt.org/2026/metrics).
The dataset is primarily designed for research i... | 2,534 | 5,661 | normal |
andrewsiah/PersonaPromptPersonalLLM_823 | none | 0.9746 | code | 0.0187 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_823"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 6 | normal |
genloop/hsn_train_data_25k_alpaca_format | none | 0.6586 | chemistry | 0.1545 | null | [] | 0 | 5 | normal | |
raphaelmerx/MADLAD-400-Tetun | none | 0.939 | code | 0.0552 | null | [] | # MADLAD-400-Tetun
The Tetun Dili "clean" split of the [MADLAD-400 dataset](https://huggingface.co/datasets/allenai/MADLAD-400/), sentencized and translated to English using [MADLAD-400 3b](https://huggingface.co/santhosh/madlad400-3b-ct2/).
Each row has:
- `text`: the original text from MADLAD
- `sentences`: the te... | 727 | 3 | normal |
mlfoundations-dev/b1_science_top_2 | chemistry | 0.5188 | none | 0.2331 | null | [] | 0 | 8 | normal | |
DCAgent2/swesmith-GLM-4.6-32ep-32k-v3-traces-chunk005 | code | 0.5836 | none | 0.3741 | null | [] | 0 | 11 | normal | |
J0Y1/kim_jeongun | none | 0.4076 | finance | 0.2953 | 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 | 3 | normal |
dgambettaphd/D_llm2_run0_gen0_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.7244 | code | 0.1299 | null | [] | 0 | 3 | normal | |
Dauren-Nur/kaz_eng_parallel | legal | 0.9503 | none | 0.0268 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Parallel corpora of kazakh-english sentences collected from Law documents and news site by the researchers at Al-Farabi Kazakh National University
This dataset card aims to be a base template for new datasets. It has been generated using... | 4,507 | 7 | new_discovery |
Asap7772/code_contests_llamasft1e-6_mc_passk-part1-of-1 | code | 0.8175 | none | 0.1442 | null | [] | 0 | 7 | new_discovery | |
HadronNOOB/synthetic-diarization-italian-augmented | none | 0.8477 | code | 0.0567 | null | [] | 0 | 7 | normal | |
TzuShian/so100_chess_test2 | none | 0.9228 | code | 0.0736 | null | [
"so100",
"test",
"chess"
] | 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",
"... | 3,585 | 279 | normal |
cdactvm/kannada_new_data_v6 | none | 0.4999 | code | 0.2096 | null | [] | 0 | 5 | normal | |
rdoshi21/kinova-real-basket-v30 | none | 0.8587 | code | 0.1373 | 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",
"... | 2,711 | 33 | normal |
asingh15/arc-barc-processed-direct-max4k-sftabsfullprobs-20of24 | none | 0.858 | code | 0.0436 | null | [] | 0 | 8 | normal | |
weepcat/hh-rlhf-eval | none | 0.451 | code | 0.1341 | null | [] | 0 | 4 | normal | |
MirrorUser/UserMirrorer | none | 0.6626 | code | 0.3007 | null | [] | # UserMirrorrer-eval
This is the training set of UserMirrorer.
Please refer to our paper: "Mirroring Users: Towards Building Preference-aligned User Simulator with Recommendation Feedback".
## Notice
In the `UserMirrorer` dataset, the raw data from `MIND` and `MovieLens-1M` datasets are distributed under restrictive... | 805 | 3 | normal |
sumukshashidhar-archive/fineweb-10BT-annotated | none | 0.5385 | finance | 0.0992 | null | [] | 0 | 8 | normal | |
Zaynoid/Med-Reasoning-v20-seeds | none | 0.3488 | biology | 0.2652 | null | [] | 0 | 31 | normal | |
CrawlAiHuggingFace/multiplied_so101_test_7 | none | 0.9052 | code | 0.0911 | null | [
"so101",
"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",
"... | 3,577 | 19 | normal |
sugarquark/getchu-anime-face | none | 0.9833 | code | 0.0107 | null | [] | Cloned from [Brian Chao](https://github.com/bchao1/Anime-Face-Dataset). Images are grouped by year, with separate directories for each year.
```
2000: 1061
2001: 1392
2002: 1818
2003: 2896
2004: 3233
2005: 2999
2006: 3300
2007: 3805
2008: 3900
2009: 3878
2010: 3897
2011: 4086
2012: 4259
2013: 4264... | 390 | 13 | normal |
kfkas/service-tipping-reddit-data-raw | none | 0.8016 | code | 0.1089 | null | [] | 0 | 6 | normal | |
oulianov/my_dataset_18 | none | 0.9316 | code | 0.047 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # my_dataset_18
**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 learning. It's compatible with LeRobot and RLDS. | 301 | 7 | normal |
Luo-wj/MMTool_SFT_with_reasoning | none | 0.5367 | code | 0.1913 | null | [] | 0 | 13 | normal | |
candywal/general_model_organism | none | 0.59 | code | 0.1089 | null | [] | 0 | 4 | normal | |
TwinkStart/VoxCeleb | none | 0.8878 | code | 0.0518 | null | [] | 
> This dataset only contains test data, which is integrated into UltraEval-Audio(https://github.com/OpenBMB/UltraEval-Audio) framework.
```shell
python audio_evals/main.py --dataset voxceleb1 --model gpt4o_audio
python audio_evals/main.py --dataset voxceleb2 --model gpt4o_audio
```
##... | 2,063 | 48 | normal |
wanadzhar913/fib-malay-with-chain-of-thought | none | 0.786 | code | 0.1823 | null | [] | ### Dataset Summary
This dataset comprises of both the original English and Malay translated version of the [FIB benchmark dataset](https://huggingface.co/datasets/r-three/fib).
Each example in the original dataset consists of a document and a pair of summaries: a factually consistent one and a factually inconsistent o... | 2,978 | 9 | normal |
mlfoundations-dev/herorun_1_1_3epoch_eval_03-17-25_17-55-44_0981 | none | 0.978 | code | 0.0173 | null | [] | # mlfoundations-dev/herorun_1_1_3epoch_eval_03-17-25_17-55-44_0981
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | LiveCodeBench | AIME24 | AIME25 | AMC23 | GPQADiamond | MATH500 |
|--------|-------------|------|------|-----|-----------|-------|
| Accuracy | 44.4 | 48.0 | 27.3... | 1,977 | 4 | normal |
gauravparajuli/slr54 | none | 0.3002 | chemistry | 0.1603 | null | [] | 0 | 11 | normal | |
Tachi67/rm_data_action | none | 0.5322 | climate | 0.1463 | null | [] | 0 | 7 | normal | |
AI4M/leandojo-informalized | none | 0.3342 | finance | 0.2839 | 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 | 13 | normal |
CJJones/Synthetic_Java_Dialog_And_Programs_LLM_Training | code | 0.9821 | none | 0.0133 | null | [
"programming",
"java",
"conversation",
"code-examples",
"simulation",
"dialogue",
"conversational-ai",
"large-language-models",
"instruction",
"llm-training",
"training-data",
"retrieval-augmented-generation",
"agentic"
] | The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com
<a href="https://datadeveloper1.gumroad.com/l/dxxja" style="display: inline-block; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Ro... | 5,726 | 59 | new_discovery |
javadcc/so101_4 | none | 0.9273 | code | 0.0635 | 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",
"... | 3,574 | 7 | normal |
mlfoundations-dev/d1_math_mc_llm_3k_eval_636d | none | 0.6715 | math | 0.2999 | null | [] | # mlfoundations-dev/d1_math_mc_llm_3k_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|------... | 2,997 | 5 | normal |
avemio/German-RAG-DPO-Alpaca-HESSIAN-AI | legal | 0.9873 | none | 0.0108 | null | [
"retrieval",
"wikipedia",
"german",
"rag"
] | # German-RAG-DPO Alpaca Format
## German-RAG - German Retrieval Augmented Generation
### Dataset Summary
The DPO Tasks Dataset represents a specialized collection for fine-tuning language models with a focus on RAG-specific capabilities. Most tasks were developed using synthetically enhanced data derived from the Germ... | 19,287 | 23 | new_discovery |
yiyic/oscar_nl_test | none | 0.4097 | climate | 0.1795 | null | [] | 0 | 4 | normal | |
li-ping/esmt_grpo_2400 | none | 0.4211 | code | 0.1412 | null | [] | 0 | 3 | normal | |
french-open-data/ports-departementaux-des-cotes-d-armor | cybersecurity | 0.6918 | none | 0.2879 | null | [
"port",
"dataset_for_agent"
] | # Ports départementaux des Côtes d'Armor
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Ports départementaux des Côtes d'Armor** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/56a8ce25c751df1164ceae1d
## Description
Le Département de... | 719 | 8 | normal |
SathwikBalu/Kathavachak | none | 0.4662 | biology | 0.0969 | null | [] | 0 | 3 | normal | |
kisejin/perturbed_sst2 | none | 0.4431 | chemistry | 0.1925 | null | [] | 0 | 4 | normal | |
teamcore/DPO_L8B_RMAB_TG_beta0.25sigmoidbt_noise_flip0.1 | none | 0.7272 | chemistry | 0.1107 | null | [] | 0 | 15 | normal | |
abir-hr196/multilingual-short-french | none | 0.7619 | chemistry | 0.0504 | null | [] | 0 | 7 | normal | |
zjhhhh/iter2_7b_multi_scores_adversary_4 | none | 0.7891 | code | 0.0629 | null | [] | 0 | 5 | normal | |
stefanocarrera/autophagycode_D_train_Qwen3-0.6B_lr0.0001_c142_correct_g8 | none | 0.6322 | code | 0.1393 | null | [] | 0 | 11 | normal | |
kaze-desu/dtd-4shot-b2n | none | 0.7838 | code | 0.1113 | null | [] | 0 | 5 | normal | |
CNTXTAI0/CNTXTAI_Legal_Legislation | legal | 0.999 | finance | 0.0005 | legal | [
"legal"
] | This dataset is highly valuable for a wide range of users. Legal researchers and scholars can utilize it to analyze legislative trends and domain-specific developments in the UAE, particularly in administrative and religious affairs. Policy makers and government analysts will find it useful for tracking regulatory chan... | 4,480 | 4 | normal |
mcding-org/CorrectDPO-Eval-DDP_Q0.5B_PP10_beta0.10r0.20rho0.30 | none | 0.6824 | code | 0.1565 | null | [] | 0 | 6 | normal | |
carlfeynman/Bharat_NanoSCIDOCS_gu | none | 0.9463 | code | 0.038 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,626 | 9 | normal |
abhinav302019/olympiad_data_370 | none | 0.3853 | biology | 0.3558 | null | [] | 0 | 4 | normal | |
Self-GRIT/tulu-v3.1-mix-preview-4096-OLMoE-seed | none | 0.7874 | code | 0.1298 | null | [] | 0 | 3 | normal | |
sidea/arena_baseline_gpt-large_zdraft_gpt-large_ep2_sep18 | none | 0.8911 | code | 0.0327 | null | [] | 0 | 8 | normal | |
juliensimon/gravitational-wave-events | none | 0.4465 | climate | 0.3656 | null | [
"gravitational-waves",
"ligo",
"virgo",
"kagra",
"gwosc",
"black-hole",
"neutron-star",
"astronomy",
"open-data"
] | # Gravitational Wave Events (GWOSC)
![Updated](https://img.shields.io/badge/dynamic/json?url=https://raw.githubusercontent.com/juliensimon/space-datasets/main/status.json&query=$['gra... | 4,223 | 9 | normal |
ZennyKenny/tron-dataset-v.1.0 | math | 0.4956 | none | 0.2422 | null | [
"reasoning-datasets-competition"
] | # Metareasoning: To Reason or Not, Zero-Shot Classification for Reasoning Tasks
The To Reason or Not (TRON) Dataset represents a tangible advancement in the use of reasoning models by way of an architectural paradigm that we will refer to as Metareasoning. Metareasoning is the practice by which we ask a reasoning mode... | 3,607 | 38 | normal |
shylee/so100_gauze_test | none | 0.9002 | code | 0.0922 | null | [
"so100",
"gauze"
] | 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",
"... | 4,222 | 13 | normal |
ogamersach/Orca_ar | finance | 0.3527 | none | 0.332 | 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 | 4 | boundary |
smartcat/Amazon_All_Beauty_2023 | none | 0.9642 | finance | 0.013 | null | [] | # Dataset Card for Dataset Name
Original dataset can be found on: https://amazon-reviews-2023.github.io/
## Dataset Details
This dataset is downloaded from the link above, the category Amazon All Beauty meta dataset.
### Dataset Description
This dataset is a refined version of the Amazon All Beauty 2023 meta dataset... | 6,596 | 5 | normal |
zpc2090/charades | none | 0.5176 | code | 0.0925 | null | [] | 0 | 11 | normal | |
french-open-data/liste-des-contrats-conclus-entre-25-000-et-40-000-euros-ht-par-la-ditp | cybersecurity | 0.7397 | finance | 0.1304 | null | [
"donnees-ouvertes",
"dataset_for_agent"
] | # Liste des contrats conclus entre 25 000 et 40 000 euros HT par la DITP
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Liste des contrats conclus entre 25 000 et 40 000 euros HT par la DITP** qui est disponible à l'adresse https://www.data.gouv.fr/data... | 1,759 | 9 | normal |
Genius-Society/insecta_sounds | biology | 0.9667 | climate | 0.0298 | null | [] | [viewer](https://modelscope.cn/datasets/Genius-Society/insecta_sounds/dataPeview)
# Intro
The Insecta Audio Dataset is an acoustic sample library designed for intelligent recognition and ecological monitoring, featuring high-definition field recordings of common insect species and genera from across China, encompas... | 1,489 | 20 | new_discovery |
reasoning-proj/c_dfiltered_logic_Phi-4-reasoning-plus_mbenign_rewrite_trace_t70 | none | 0.4457 | math | 0.2409 | null | [] | 0 | 5 | normal | |
zijian2022/uni_softO_handling_object_vla | none | 0.9138 | code | 0.0834 | 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",
"... | 3,586 | 38 | normal |
baraah/withtext | none | 0.462 | code | 0.1408 | null | [] | 0 | 5 | normal | |
chengfu0118/DeepSeek-R1-Distill-Qwen-7B_eval_7c1d | none | 0.9832 | code | 0.009 | null | [] | # chengfu0118/DeepSeek-R1-Distill-Qwen-7B_eval_7c1d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | MATH500 | GPQADiamond |
|--------|------|-------|-----------|
| Accuracy | 59.7 | 88.8 | 49.5 |
### AIME24
- **Average Accuracy**: 59.67% ± 1.52%
- **Number of Runs**... | 1,115 | 18 | normal |
JingweiNi/train_prm800k_qwen3_8b_thinking_5000_extracted_4 | none | 0.8789 | code | 0.0602 | null | [] | 0 | 4 | normal | |
nouhad/deepmath_103k_filtered | none | 0.4811 | chemistry | 0.1778 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/law_R1_prompts | legal | 0.767 | none | 0.1721 | null | [] | 0 | 3 | normal | |
math-extraction-comp/Qwen__Qwen1.5-110B-Chat | none | 0.5387 | math | 0.2842 | null | [] | 0 | 3 | normal | |
french-open-data/base-adresse-locale-de-boissezon | cybersecurity | 0.9116 | none | 0.0673 | null | [
"adresses",
"bal",
"balances-comptables",
"base-adresse",
"base-adresse-locale",
"boissezon",
"dataset_for_agent"
] | # Base Adresse Locale de Boissezon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Base Adresse Locale de Boissezon** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/65940f667a6d470ac43bd90c
## Description
L’adressage complet de la com... | 713 | 7 | new_discovery |
dgambettavuw/D_gen1_run1_llama2-7b_sciabs_doc1000_real32_synt96_vuw | none | 0.6994 | chemistry | 0.1283 | null | [] | 0 | 3 | normal | |
speech31/Part-of-Speech_Estimation_sentPoS | none | 0.7631 | climate | 0.0928 | null | [] | 0 | 3 | normal | |
weikaih/vsi-bench-qa-v3-hm3d-full | none | 0.7216 | chemistry | 0.0814 | null | [] | 0 | 22 | normal | |
Natalish/pick_cup | none | 0.9156 | code | 0.0775 | 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",
"... | 3,594 | 6 | normal |
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