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 |
|---|---|---|---|---|---|---|---|---|---|---|
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_54147041-42e5-4c36-8159-b5fd189133d0 | none | 0.5683 | code | 0.216 | null | [] | 0 | 3 | normal | |
ReySajju742/shaistagi-cleaned | none | 0.5524 | code | 0.1739 | null | [] | 0 | 30 | normal | |
cchoi1/kodcode-complete_1000_qwen7b_att_iter0_att40_sol5_dedup_diversity | none | 0.4597 | code | 0.44 | null | [] | 0 | 6 | normal | |
ssktora/scifact-train1000-bm25-pyserini-5-train-v3 | none | 0.6628 | code | 0.1773 | null | [] | 0 | 4 | normal | |
salomadoma/task_2 | code | 0.5834 | none | 0.3446 | null | [] | **1. Анализ уникальности данных**
*указывает на разнообразие использованной лексики. Рассчитывается по формуле: число уникальных слов / число всех слов в тексте.*
Коэффициент лексического разнообразия: 0.0035502150611046632.
Вывод: низкий уровень лексического разнообразия, встречается много похожих слов.
**2.... | 2,180 | 4 | normal |
dataghost7/matchup_finetuning_kor | none | 0.6117 | code | 0.226 | null | [] | 0 | 4 | normal | |
Gopher-Lab/huberman_lab_Tools_to_Enhance_Working_Memory__Attention | code | 0.4465 | none | 0.3415 | null | [] | 0 | 8 | boundary | |
RAGEVALUATION-HJKMY/test-jinw-TSBC_cleaned_demo | code | 0.477 | none | 0.2638 | null | [] | 0 | 4 | normal | |
wfang11/gpqa-llama8b-1-5-94-val | none | 0.6667 | code | 0.2221 | null | [] | 0 | 34 | normal | |
DCAgent/a1_nemotron_junit | none | 0.5635 | biology | 0.1502 | null | [] | 0 | 10 | normal | |
teamcore/DPO_Pm3B_RMAB_TG_clean_beta0.25dpo_pro_nu0.03_Eurus_RM_7b_vs_dlm_default_cr_trajfullr | code | 0.5598 | none | 0.3944 | null | [] | 0 | 4 | normal | |
sarikayamelihcan/tys-phi-hasanizer-v3 | none | 0.5071 | chemistry | 0.1519 | null | [] | 0 | 4 | normal | |
jul0901/11fff22 | climate | 0.1957 | none | 0.1778 | null | [] | 0 | 5 | boundary | |
sebastiandavidlee/eval_bimanual-so101-handover-plushie_act | none | 0.9565 | code | 0.0405 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,756 | 8 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_3_dataset_0_for_gen_3 | none | 0.9008 | biology | 0.0384 | null | [] | 0 | 4 | normal | |
Owos/global-mmlu-lite | none | 0.9828 | code | 0.0069 | null | [
"mmlu",
"multilingual",
"galician",
"urdu"
] | # Global MMLU Lite – Galician & Urdu
Machine-translated **Galician** and **Urdu** subsets of the Global MMLU Lite benchmark.
## Dataset Description
Global MMLU Lite is a culturally-aware, multilingual evaluation benchmark for large language models, covering multiple-choice questions across many academic subjects. Th... | 1,476 | 16 | normal |
graf/Rubrics-generalist-judgments_gptmini-97.5-0.7-0.1-Qwen3-4B-64-2048-0.6 | none | 0.9615 | code | 0.0318 | null | [] | Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 97.5 percentile and 0.7 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta | 204 | 8 | normal |
kuanhuggingface/Audio-Hallucination_Temporal-Order_CompA-Order | none | 0.9881 | code | 0.0079 | null | [] | # Dataset Card for "Audio-Hallucination_Temporal-Order_CompA-Order"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 12 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-1129a9c193c4 | none | 0.7902 | biology | 0.1291 | null | [] | 0 | 6 | normal | |
corgipioche/lille-restaurant-dataset-analyze | none | 0.6268 | chemistry | 0.1065 | null | [] | 0 | 4 | normal | |
Itau-Unibanco/aroeira | none | 0.9379 | code | 0.0419 | null | [] | *Note: This document is available both in english and portuguese. The portuguese version can be found bellow the english one*
# Dataset Information
Aroeira is a curated corpus designed for training large language models in the Portuguese language. Most existing research focuses on high-resource
languages like English ... | 16,122 | 3,028 | normal |
Asap7772/elix_generations_llama32_3b | biology | 0.5346 | none | 0.2894 | null | [] | 0 | 4 | normal | |
Franky123/lora_dataset_3610b4f2 | none | 0.4508 | biology | 0.1559 | null | [] | 0 | 2 | normal | |
Dendik82/jenangijo | none | 0.4005 | climate | 0.1297 | null | [] | 0 | 5 | normal | |
Chuong/record_boat_dataset_1 | none | 0.9313 | code | 0.0625 | 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",
"... | 3,581 | 5 | normal |
abehandlerorg/ccnews_warm1069_scm | none | 0.423 | climate | 0.1102 | null | [] | 0 | 7 | normal | |
DatPySci/weak_Llama-3.2-1B_hh | math | 0.3219 | code | 0.2671 | null | [] | 0 | 4 | boundary | |
adityarra07/test_ds_noise2 | none | 0.9585 | chemistry | 0.0172 | null | [] | # Dataset Card for "test_ds_noise2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 168 | 4 | normal |
samirmsallem/argumentative_zoning_multilingual | none | 0.9593 | code | 0.0257 | null | [] | # Dataset Card for Argumentative Zoning corpus [AZ corpus]
The dataset originates from the research results of Simone Teufel et al. on the topic of [“Argumentative Zoning”](https://www.cl.cam.ac.uk/~sht25/AZ_corpus.html).
The English subset was taken from the AZ corpus .az-scixml files and converted to jsonl format.... | 4,694 | 22 | normal |
faezeb/wildchat_76k_cluster_52 | none | 0.6618 | climate | 0.1252 | null | [] | 0 | 13 | normal | |
danhoangg/vuln-detection-with-tags-no-safe | none | 0.6359 | code | 0.0929 | null | [] | 0 | 5 | normal | |
Heng666/Taiwan-patent-qa-eval | none | 0.4722 | legal | 0.3373 | null | [
"traditional chinese",
"patent",
"taiwan"
] | # 台灣專利問答集
我們提出適用於 QA 系統上用的專利問答集，主要內容收錄台灣開發資料，總計八年的專利師訓練試題，高達 192 道題目。旨在提高語言模型在台灣領域上落地場景。
<p align="center">
<img src="https://huggingface.co/datasets/Heng666/Taiwan-patent-qa-eval/resolve/main/Taiwan Patent Q&A Map.webp" style="max-width: 400" width=400 />
</p>
# Citation
```
@article{TaiwanPatent2024eval,
title=... | 450 | 34 | normal |
kenza-ily/dude_disco | none | 0.8973 | code | 0.0625 | null | [
"document-understanding",
"multi-page",
"document-qa"
] | # DUDE Mini Dataset
A stratified 404-sample subset of the DUDE (Document Understanding Dataset and Evaluation) benchmark, focused on document question answering with multi-page PDF documents.
## Dataset Description
DUDE_mini contains QA pairs from the DUDE sample dataset with balanced representation across:
- **Answ... | 3,660 | 18 | normal |
TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_3dig__v1 | none | 0.7984 | chemistry | 0.0736 | null | [] | # Experiment Tracker: Fin16kEval_SFT_r1_translated-longmult_3dig
**Experiment Description:** Evaluation experiment for task longmult_3dig from Fin16kEval_SFT_r1_translated
**Start Time:** 2025-11-02T01:32:27.275522
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__Fin16kEval_SFT_r1_translated-longmult_3dig__v1](https://h... | 2,941 | 4 | normal |
crtvai/jordan-dataset-v1 | none | 0.711 | climate | 0.0922 | null | [] | 0 | 5 | normal | |
masato-ka/so100_test | none | 0.9388 | code | 0.0566 | null | [
"so100",
"masato-ka",
"LEGO"
] | 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",
"... | 2,944 | 24 | normal |
arjun-radha-krishnan/recipe-chatbot-veena-dataset | none | 0.7426 | code | 0.0714 | null | [] | 0 | 4 | normal | |
kshitijthakkar/smoltrace-results-20251117_202215 | none | 0.6642 | code | 0.1232 | null | [] | 0 | 4 | normal | |
saifigohar1122/industrial-genetic-embeddings | none | 0.3973 | biology | 0.3665 | null | [] | 0 | 5 | normal | |
Emotion-Aware-AI-Assistant/gemma3_4b-it-q4_K_M_hierarchical_results | none | 0.8695 | code | 0.0691 | null | [] | 0 | 6 | normal | |
MAPS-research/style-img | none | 0.4576 | chemistry | 0.3804 | null | [] | ## Style Images for Personalization
Credits: [Stable Diffusion 1.5 - Cheat Sheet](https://supagruen.github.io/StableDiffusion-CheatSheet/) | 139 | 4 | normal |
michsethowusu/shona-xhosa_sentence-pairs | none | 0.9906 | code | 0.0038 | null | [] | # Shona-Xhosa_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source ... | 2,812 | 9 | normal |
alon-albalak/TEST_saving8b-eval | none | 0.5561 | code | 0.1941 | null | [] | 0 | 14 | normal | |
anirudhb11/700_750_interations | none | 0.3705 | climate | 0.1303 | null | [] | 0 | 5 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_agilex_3rgb_8_appleblueplate_2 | none | 0.8037 | code | 0.1624 | null | [] | # benchmark1_0_release_agilex_3rgb_8_appleblueplate_2
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: agilex_3rgb
末端执行器: 夹爪
任务平台显示版: 苹果蓝盘子part_1
total_episodes: 105
total_tasks: 1
size: 946.7M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.pa... | 952 | 28 | normal |
taomon/eval_so101_test_v10 | none | 0.9387 | code | 0.0439 | 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",
"... | 2,575 | 6 | normal |
TheFactoryX/edition_2657_cornell-movie-review-data-rotten_tomatoes-readymade | none | 0.993 | code | 0.0049 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2657_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept ... | 1,005 | 11 | normal |
AnnantJain/client2_federated_dataset | none | 0.4435 | code | 0.1572 | null | [] | 0 | 6 | normal | |
sunovivid/sd2.1_coco | none | 0.5399 | code | 0.1429 | null | [] | 0 | 35 | normal | |
ChosenQ/CS394 | none | 0.2792 | chemistry | 0.1696 | null | [] | 0 | 4 | normal | |
andrewsiah/PersonaPromptPersonalLLM_377 | none | 0.9755 | code | 0.0167 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_377"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
saudefem2/RAG_k1_corretoincorreto_v2 | none | 0.5833 | code | 0.1094 | null | [] | 0 | 2 | normal | |
yoonholee/completions_AIME2024_easy-8k-med16k | none | 0.7668 | code | 0.1479 | null | [] | 0 | 3 | normal | |
darkB/instruction-dataset-mini-with-generations | none | 0.9233 | code | 0.0688 | 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 instruction-dataset-mini-with-generations
This ... | 4,888 | 4 | normal |
oda-99/hiphop_5k_titled_002 | none | 0.8525 | code | 0.0586 | null | [] | 0 | 6 | normal | |
francescoortame/bookcorpus-sorted-100k16x | none | 0.4472 | biology | 0.1112 | null | [] | 0 | 4 | normal | |
lighteval/RULER-131072-Qwen-3 | none | 0.4969 | code | 0.1732 | null | [] | 0 | 43 | normal | |
pppereira3/HW4_CLASSIFICATION_mar_mean_imputed | none | 0.3713 | biology | 0.2012 | null | [] | 0 | 7 | normal | |
DynamicSuperb/PhonologicalFeatureClassification_VoxAngeles-VowelHeight | biology | 0.8661 | climate | 0.0621 | null | [] | 0 | 3 | new_discovery | |
jihuny/llama_uf_10k_sky_active_dpogopt_g05 | none | 0.7676 | code | 0.0674 | null | [] | 0 | 13 | normal | |
nroggendorff/femtorpus | none | 0.4259 | finance | 0.0971 | null | [] | 0 | 11 | normal | |
romban38/x_dataset_51 | none | 0.8786 | cybersecurity | 0.0669 | 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... | 19,881 | 9 | normal |
HanningZhang/llama3-sft-self-reward-tmp10-prompt-merged-labeled | none | 0.7271 | code | 0.1141 | null | [] | 0 | 2 | normal | |
ZhJiHo/Acompatible_dataset__ | none | 0.9268 | code | 0.0346 | null | [] | # Dataset Card for "Acompatible_dataset__"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 175 | 3 | normal |
An-Xiao/MIG-RS-Bench | chemistry | 0.2944 | climate | 0.2524 | null | [
"multi-modal",
"remote-sensing",
"multi-image-grounding"
] | # Beyond Single and Earthbound: Advancing Multi-image Grounding in Remote Sensing with Large Vision-Language Models | 115 | 4 | boundary |
ayushsi42/RM-Bench-code-gpt2-yesno | code | 0.719 | none | 0.1258 | null | [] | 0 | 6 | normal | |
reasoning-degeneration-dev/t1-enhanced-eval-together_ai-qwen-qwen3-235b-a22b-thinkin-6406c1ea | none | 0.8351 | code | 0.1314 | null | [
"t1_synthesize_knowledge",
"enhanced_evaluation",
"countdown",
"comparison"
] | # t1-enhanced-eval-together_ai-qwen-qwen3-235b-a22b-thinkin-6406c1ea
Enhanced evaluation results comparing base model performance against performance with synthesized domain knowledge injected into the prompt.
## Performance Comparison
| Metric | Base | Enhanced | D... | 11,334 | 20 | normal |
Caplin43/humanoid-interaction-dataset | none | 0.9707 | medical | 0.0104 | null | [] | # Humanoid Interaction Dataset
Dataset for humanoid robot human-object interaction training.
## Includes
- Gesture inputs
- Object distance
- Action outputs
- Response time
## Format
Structured CSV behavioral logs. | 217 | 15 | normal |
withmartian/DEBATEMIX | legal | 0.5323 | none | 0.3834 | null | [] | This dataset can be used for steering, generally between the response_neutral and response_style_name classes, when the relevant instructions are prepended. These activations may either be extracted from last token of response, or the last token of the modified prompt with inserted instruction.
## Canonical Style Inst... | 5,382 | 25 | boundary |
michsethowusu/somali-emotions-corpus | none | 0.9156 | cybersecurity | 0.0562 | null | [
"emotion",
"african-languages",
"nlp",
"text-classification"
] | # Somali Emotion Analysis Corpus
## Dataset Description
This dataset contains emotion-labeled text data in Somali 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-eng... | 2,039 | 10 | normal |
freshpearYoon/vr_val_free_3 | none | 0.522 | climate | 0.1422 | null | [] | 0 | 7 | normal | |
Cadenza-Labs/alpaca_Llama-3.3-70B-Instruct | biology | 0.7446 | none | 0.1218 | null | [] | 0 | 3 | normal | |
hardikch05/Text-to-sql-v1-custom-1000 | code | 0.6365 | none | 0.1172 | null | [] | 0 | 7 | normal | |
gguichard/myriade_ontologie_corrected | none | 0.6236 | chemistry | 0.1314 | null | [] | # Dataset Card for "myriade_ontologie_corrected"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 181 | 4 | normal |
maanas-writer/mem_agent-bertscore-rl-memoryagent-14b-bizbench-test-c1024-t512-1000s-agnostic | none | 0.6701 | code | 0.2601 | null | [] | 0 | 5 | normal | |
Heng666/Traditional_Chinese-aya_collection | none | 0.5984 | legal | 0.2756 | null | [] | 
<!-- Provide a quick summary of the dataset. -->
## 資料集描述
**繁體中文 Aya (Traditional Chinese Aya Chinese;TCA)：專注於繁體中文處理的 Aya 集合的精選子集**
### 概述
`繁體中文 Aya` 是一個精心策劃的資料... | 21,216 | 323 | normal |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_iter_1_dpo_binarized_val_chunk_15 | none | 0.8753 | code | 0.0479 | null | [] | 0 | 8 | normal | |
timaeus/github_min_loss_delta_ablation_l1h1 | none | 0.4082 | climate | 0.1654 | null | [] | 0 | 4 | normal | |
sodabori/quant_prm_lr_2e-6_epoch_1-N-128-completions-seed-0-20250507 | none | 0.6068 | chemistry | 0.1857 | null | [] | 0 | 5 | normal | |
otozz/iraqi_test_set | none | 0.9028 | code | 0.0281 | null | [] | Pre-processed Iraqi test partition from the MASC-dataset:
Mohammad Al-Fetyani, Muhammad Al-Barham, Gheith Abandah, Adham Alsharkawi, Maha Dawas, August 18, 2021, "MASC: Massive Arabic Speech Corpus", IEEE Dataport, doi: https://dx.doi.org/10.21227/e1qb-jv46. | 258 | 5 | normal |
shreyaspullehf/superconductor-dataset | chemistry | 0.4573 | none | 0.4353 | null | [
"semantic-search",
"sentence-transformers",
"physics",
"superconductivity",
"scientific-literature",
"education"
] | # Superconductor Semantic Search Dataset
A comprehensive dataset for training and evaluating semantic search models in the superconductivity domain.
## Dataset Description
This dataset contains scientific and educational documents about superconductivity, along with query-document pairs for training semantic search ... | 8,667 | 15 | boundary |
JohnVitz/Edge_Mapping_train_subset | none | 0.36 | climate | 0.2627 | null | [] | 0 | 5 | normal | |
mlfu7/pi0_conversion_no_pad | none | 0.9071 | code | 0.0888 | null | [
"icrt",
"franka",
"pi_0",
"multitask"
] | 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",
"... | 2,724 | 20 | normal |
supergoose/flan_source_race_middle_Write_a_multi_choice_question_for_the_following_article_115 | none | 0.9522 | code | 0.0137 | null | [] | 0 | 4 | normal | |
brucekimrok/eval_picknplace_2view_rgbd_55_60 | none | 0.9043 | code | 0.0907 | 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",
"... | 3,577 | 4 | normal |
LLMcompe-Team-Watanabe/open-r1-math | none | 0.5582 | math | 0.153 | null | [] | 0 | 26 | normal | |
open-llm-leaderboard-old/details_0-hero__Matter-0.1-Slim-7B-preview | none | 0.9598 | code | 0.0286 | null | [] | # Dataset Card for Evaluation run of 0-hero/Matter-0.1-Slim-7B-preview
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [0-hero/Matter-0.1-Slim-7B-preview](https://huggingface.co/0-hero/Matter-0.1-Slim-7B-preview) on the [Open LLM Leaderboard](https://h... | 19,305 | 114 | normal |
frfede/twitter-sentiment | none | 0.5246 | climate | 0.1665 | null | [] | 0 | 4 | normal | |
carlcode/deadman-switch-large | none | 0.5996 | code | 0.198 | null | [] | 0 | 29 | normal | |
xlangai/Jedi | code | 0.4959 | none | 0.472 | null | [] | # JEDI
**NOTE**: Before you use this dataset, make sure you understand the logic of absolute coordinates and [image processor](https://github.com/QwenLM/Qwen2.5-VL/blob/d2240f11656bfe404b9ba56db4e51cd09f522ff1/qwen-vl-utils/src/qwen_vl_utils/vision_process.py#L60) for [Qwen2.5-VL](https://arxiv.org/abs/2502.13923).
T... | 2,379 | 840 | boundary |
jan-hq/instruction-speech-text-yolo | none | 0.7988 | code | 0.1026 | null | [] | 0 | 3 | normal | |
namejun12000/PALR_finetuning20_beauty | biology | 0.6477 | none | 0.1629 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/b2_train_fasttext_math_pos_brando_olympiad_neg_lap1official_math | none | 0.919 | chemistry | 0.0209 | null | [] | 0 | 5 | normal | |
jacobmorrison/glm47 | none | 0.3822 | chemistry | 0.194 | null | [] | 0 | 14 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-codeforces-gptoss120b-traces-20251115-190439 | code | 0.5523 | none | 0.4295 | null | [] | 0 | 10 | boundary | |
Lakshan2003/Qwen3-1.7B-Instruct-cost-benchmark-results | none | 0.614 | chemistry | 0.0814 | null | [] | 0 | 8 | normal | |
TAUR-dev/INFERENCE_r1__tell_me_a_story_validation | none | 0.9315 | climate | 0.0186 | null | [
"curator"
] | <a href="https://github.com/bespokelabsai/curator/">
<img src="https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k/resolve/main/made_with_curator.png" alt="Made with Curator" width=200px>
</a>
## Dataset card for INFERENCE_r1__tell_me_a_story_validation
This dataset was made with [Curator](https://github... | 42,754 | 3 | normal |
VEWOXIC/NYC_traffic_speed | climate | 0.9583 | none | 0.0322 | null | [] | # WIATS: Weather-centric Intervention-Aware Time Series Multimodal Dataset
## Data source:
- [NYC_Traffic_Speed](https://data.cityofnewyork.us/Transportation/DOT-Traffic-Speeds-NBE/i4gi-tjb9/about_data)
## Dataset Structure
The dataset is organized into the following structure:
```
|-- subdataset1
| |-- raw_dat... | 3,374 | 143 | new_discovery |
FrancophonIA/french-conversational | none | 0.9801 | code | 0.0054 | null | [] | > [!NOTE]
> Dataset origin: https://www.kaggle.com/datasets/daliselmi/french-conversational-dataset?resource=download
## French Movie Subtitle Conversations Dataset
### Description
Dive into the world of French dialogue with the French Movie Subtitle Conversations dataset – a comprehensive collection of over 12... | 3,045 | 15 | normal |
extralit-dev/test_import_dataset_from_hub_with_classlabel_72d712ee-e485-4848-8d67-e8e1755155f3 | none | 0.765 | code | 0.0613 | null | [] | 0 | 41 | normal |
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