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 |
|---|---|---|---|---|---|---|---|---|---|---|
ymdou/libero_goal_no_noops | none | 0.8508 | code | 0.1456 | null | [
"libero",
"panda",
"rlds"
] | 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",
"... | 2,488 | 6 | normal |
marcodsn/SPB-2602 | none | 0.9558 | code | 0.0225 | null | [
"persona",
"character-creation",
"role-playing",
"text-generation",
"character-card"
] | # Dataset Card for Synthetic Persona Bank (Feb 2026)
## Dataset Summary
This dataset contains synthetically generated, fictional character personas formatted as structured narrative character cards, designed for LLM role-playing and conversational AI applications. Each persona is a richly detailed XML-structured prof... | 7,840 | 36 | normal |
georgepzacharia/javascript_obfuscated_dataset_public_new | none | 0.6622 | code | 0.1441 | null | [] | 0 | 6 | normal | |
ngtranai06/SummaryNewsData | none | 0.3322 | climate | 0.1741 | null | [] | 0 | 4 | normal | |
kothasuhas/tinystories_20M_tokens | none | 0.6035 | code | 0.0962 | null | [] | 0 | 5 | normal | |
zimhe/cubemap-8k-captioned-2 | none | 0.4717 | climate | 0.1018 | null | [] | 0 | 10 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_66a5c704-287d-47f6-a64d-66693bf4fad7 | none | 0.6416 | code | 0.1585 | null | [] | 0 | 3 | normal | |
emailmarketingdataset/usa-churches-ministries-dataset | none | 0.9063 | legal | 0.0365 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic B2B Contact Dataset – USA Churches & Ministries Email List
## Dataset Description
This dataset contains synthetic business contact records representing professionals associated with usa churches & ministries email list.
Datasets like this are commonly used for:
• CRM testing environments
• ma... | 1,926 | 12 | normal |
TofuDahyun/eval_policy_output_toy_car_train_280226_test2_8 | none | 0.9211 | code | 0.0739 | 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"... | 2,687 | 19 | normal |
jeqcho/qwen-2.5-0.5b-instruct-lion-numbers-run-4 | none | 0.6427 | code | 0.3038 | null | [] | 0 | 10 | normal | |
Revilo7/eval_so101_policy_v3 | none | 0.914 | code | 0.0807 | 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"... | 3,731 | 8 | normal |
rasdani/mbppplus_git-diff-Qwen-4B_step_445 | code | 0.4328 | none | 0.2457 | null | [] | 0 | 4 | normal | |
MertML/refined-sql-create-context | code | 0.9814 | none | 0.0138 | null | [] | # Overview
**refined-sql-create-context** is a high-quality dataset for training and evaluating Text-to-SQL models. It builds upon the [**sql-create-context**](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset by ensuring that all SQL queries are executable in a MySQL database, resolving schema inconsi... | 1,751 | 12 | new_discovery |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_b3a5db6c-89c3-4742-9624-fdf54a41409a | none | 0.7049 | code | 0.128 | null | [] | 0 | 3 | normal | |
mohamedthoufeeqp/finetuning_demo | none | 0.6373 | chemistry | 0.1004 | null | [] | 0 | 3 | normal | |
Yuanxin-Liu/RLHF4MATH_iter2_4k | math | 0.4748 | chemistry | 0.2778 | null | [] | 0 | 4 | normal | |
ikyuarqie/gptjodoo4000 | none | 0.5504 | code | 0.1337 | null | [] | 0 | 6 | normal | |
kenken6696/FOLIO_by_paraphrased_gpt3.5 | chemistry | 0.3433 | none | 0.2902 | null | [] | 0 | 6 | boundary | |
kixr/clothingTryOn | none | 0.4809 | code | 0.1947 | null | [] | 0 | 5 | normal | |
reasoning-degeneration-dev/t1-musr-prompt-enhancement-together_ai-meta-llama-meta-llama-3-1-8b-s5-enhanced | none | 0.9507 | code | 0.0343 | null | [
"musr_prompt_enhancement",
"checkpoint",
"s5_enhanced"
] | # t1-musr-prompt-enhancement-together_ai-meta-llama-meta-llama-3-1-8b-s5-enhanced
Phase 5: enhanced eval (3 eval sets)
## Dataset Info
- **Rows**: 150
- **Columns**: 14
## Columns
| Column | Type | Description |
|--------|------|-------------|
| narrative | Value('string') | *No description provided* |
| question ... | 3,302 | 17 | normal |
KaraKaraWitch/the-royal-carpet | none | 0.9666 | code | 0.0292 | null | [] | # KaraKaraWitch/the-royal-carpet
A processed version of [KaraKaraWitch/Imperial-Avenue](https://huggingface.co/datasets/KaraKaraWitch/Imperial-Avenue).
Dedicated to a very special [Auri](https://hug... | 1,349 | 14 | normal |
french-open-data/carrefours-de-la-ville-de-saint-brieuc | none | 0.78 | finance | 0.088 | null | [
"dataset_for_agent"
] | # Carrefours de la ville de Saint Brieuc
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Carrefours de la ville de Saint Brieuc** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5908941588ee38549030eec7
## Description
Carrefours de la ... | 397 | 8 | normal |
vinnakharisma46/humanoid-wibu-data | biology | 0.46 | none | 0.3659 | null | [] | 0 | 7 | boundary | |
suyc21/VMCBench | none | 0.9239 | code | 0.0583 | null | [
"multi-modal-qa",
"vqa",
"reasoning",
"ocr",
"table"
] | # VMCBench (Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation)
[**🌐 Homepage**](https://yuhui-zh15.github.io/AutoConverter-Website/) | [**🤗 Dataset**](https://huggingface.co/datasets/suyc21/VMCBench/) | [**📖 arXiv**](https://arxiv.org/abs/2501.03225) | [**GitHub**](h... | 5,148 | 304 | normal |
feirrch/hjgfuje | none | 0.3652 | chemistry | 0.1674 | null | [] | 0 | 5 | normal | |
pietroom/second_task | none | 0.9095 | code | 0.0864 | 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 | 16 | normal |
emailmarketingdataset/missouri-business-email-dataset | none | 0.8733 | legal | 0.0524 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic B2B Contact Dataset – Missouri Business Email Database
## Dataset Description
This dataset contains synthetic business contact records representing professionals associated with missouri business email database.
Datasets like this are commonly used for:
• CRM testing environments
• marketing ... | 1,939 | 7 | normal |
felixZzz/32b_len16k_custom_teacher_response-6 | none | 0.5246 | code | 0.2732 | null | [] | 0 | 5 | normal | |
jianzongwu/MotionBooth | none | 0.9799 | code | 0.0107 | null | [] | # Dataset Card for MotionBooth
## Dataset Description
- **Paper:** https://arxiv.org/abs/2406.17758v1
- **Project Page:** https://jianzongwu.github.io/projects/motionbooth
- **Github Repository:** https://github.com/jianzongwu/MotionBooth
### Dataset Summary
Subject images in MotionBooth are collected from [DreamBoo... | 738 | 103 | normal |
GautamR/Marathi_translations_agri | none | 0.5071 | biology | 0.1874 | null | [] | 0 | 8 | normal | |
Teen-Different/Facial-Expression | none | 0.9374 | medical | 0.0258 | null | [
"Image",
"Classification"
] | # Facial Expression Dataset
## Description
This dataset contains images of human faces categorized by emotional expression. It is intended for training and evaluating models for facial expression recognition.
## Structure
The dataset is divided into two main folders:
* `train`: Contains images for training the m... | 637 | 33 | normal |
wasifis/rt-qa-dataset | none | 0.545 | climate | 0.1252 | null | [] | 0 | 4 | normal | |
GFM-Bench/EO1H-313K | biology | 0.4886 | chemistry | 0.2168 | null | [] | 0 | 8 | normal | |
benayas/llm-augmented_massive_chatgpt_5pct_v0 | none | 0.8933 | chemistry | 0.024 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_0.5_alpha_0.0_num-company_2_dataset_0_for_gen_15_v2 | none | 0.8935 | code | 0.0423 | null | [] | 0 | 4 | normal | |
Shekswess/mistral_medquad_instruct_dataset | medical | 0.9544 | none | 0.0429 | medical | [
"medical"
] | Dataset made for instruction supervised finetuning of Mistral LLMs based on the Medquad dataset:
- Medquad dataset (https://www.kaggle.com/datasets/jpmiller/layoutlm)
## Medquad
MedQuAD is a comprehensive collection consisting of 47,457 medical question-answer pairs compiled from 12 authoritative sources within the N... | 1,157 | 4 | normal |
gayanin/pubmed-abstracts-noised-with-gcd-dist | none | 0.677 | code | 0.1021 | null | [] | 0 | 12 | normal | |
freshpearYoon/vr_train_free_70 | none | 0.497 | climate | 0.1925 | null | [] | 0 | 5 | normal | |
0xndika/Babypow | none | 0.3744 | climate | 0.1287 | null | [] | 0 | 4 | normal | |
Tsagkas/dataset_deltas_lvfm_v5 | none | 0.9381 | code | 0.0555 | 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",
"... | 4,713 | 28 | normal |
ttn1410/Summary | none | 0.3182 | legal | 0.1412 | null | [] | 0 | 5 | normal | |
abun12/abun-text-model-v85 | none | 0.9026 | code | 0.0896 | null | [] | This is a simple demo text generation model published on Hugging Face.
The model is created for learning and testing purposes and serves as a placeholder model.
| 164 | 4 | normal |
VGraf/generation_multi_1743610578 | none | 0.8426 | code | 0.1388 | null | [] | # allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': True,
'dataset_end_idx': 2,
'dataset_mixer_list': ['VGraf/alpaca_eval_gpt4_baseline', '1.0'],
'dataset_shuffle': True,
'd... | 2,085 | 3 | normal |
sert121/ad_instruct_containing_a_w_e_o_r_s_h_test_shuffled_7 | none | 0.9327 | legal | 0.0413 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_7_features
# Features Used
['occupation', 'hours-per-week', 'education', 'age', 'relationship', 'sex', 'workclass']
## Dataset Description
Top 7 features selected from the a... | 344 | 4 | normal |
stefanocarrera/autophagycode_D_metrics_he_Qwen3-0.6B_lr0.0001_trust_g5 | none | 0.6348 | code | 0.2459 | null | [] | 0 | 17 | normal | |
ketchup123/pubmedqa_safeinstruct_2500_shareGPT | code | 0.5193 | none | 0.1739 | null | [] | 0 | 5 | normal | |
prakash-sumit/ultravox-test3 | none | 0.6013 | biology | 0.1414 | null | [] | 0 | 8 | normal | |
Sanket366/friend-chat-data-row-text-1 | none | 0.8505 | climate | 0.0698 | null | [] | 0 | 4 | normal | |
jhyun0414/llama_fine_tuning_practice | none | 0.7376 | code | 0.1295 | null | [] | 0 | 3 | normal | |
uniiiii/Whisper-fine-tune-p-3 | none | 0.7367 | chemistry | 0.1274 | null | [] | 0 | 3 | normal | |
data-store/prepare-for-training-v2 | none | 0.7355 | climate | 0.1106 | null | [] | 0 | 3 | normal | |
arnaudstiegler/vizdoom-5-episodes-skipframe-4-lvl5 | none | 0.831 | code | 0.0511 | null | [] | 0 | 160 | normal | |
LiDong2002/so100_pickplace_p2_5to10 | none | 0.9412 | code | 0.0532 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=LiDong2002/so100_pickplace_p2_5to10">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-... | 3,343 | 14 | normal |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-32-path-3-n-8000-s-4600-e-4700 | none | 0.9454 | code | 0.0327 | null | [] | 0 | 4 | normal | |
TuringEnterprises/Open-RL | math | 0.9602 | none | 0.0294 | null | [
"chemistry",
"physics",
"math",
"biology",
"science"
] | # Open-RL
[](https://opensource.org/licenses/MIT)
[](https://turing.com)
---
## Dataset Summary
This dataset contains **self-contained, verifiable, and unambiguous STEM reasoning problems** acro... | 6,518 | 12,485 | new_discovery |
do0727/of_fake_1000 | none | 0.598 | code | 0.1299 | null | [] | 0 | 5 | normal | |
Windy/Qwen_RM_80k_ratio50 | climate | 0.4695 | none | 0.2264 | null | [] | 0 | 4 | normal | |
tmpmodelsave/fixedbeta05_no_sft_llama3_sft_math_dpo_type12_8ktype4_7ktype3_ver2_100tmp10 | none | 0.9075 | code | 0.06 | null | [] | 0 | 3 | normal | |
thegrey07/polynomial-equations-6-degree | math | 0.459 | chemistry | 0.2494 | null | [] | 0 | 13 | normal | |
TheFactoryX/edition_3015_shi-labs-oneformer_demo-readymade | none | 0.9765 | code | 0.0224 | null | [
"readymades",
"art",
"duchamp"
] | # edition_3015_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 21 | normal |
zimka/animal_ds_v3 | none | 0.3179 | biology | 0.2625 | null | [] | 0 | 4 | normal | |
ahmedheakl/arocrbench_patdvqa | none | 0.5337 | chemistry | 0.2729 | null | [] | **Please see paper & code for more information:**
- https://github.com/mbzuai-oryx/KITAB-Bench
- https://arxiv.org/abs/2502.14949 | 129 | 28 | normal |
hieunguyen1053/sa_longdoc_vi | none | 0.4419 | chemistry | 0.1303 | null | [] | 0 | 3 | normal | |
nouhad/y | none | 0.3555 | chemistry | 0.1379 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_889cbe05-47ec-42d2-975c-b04e43e96273 | none | 0.6498 | code | 0.1891 | null | [] | 0 | 4 | normal | |
lookas/astra_pick_box_converted | none | 0.6391 | code | 0.0911 | null | [] | 0 | 5 | normal | |
Magpie-Align/Magpie-Pro-DPO-100K-v0.1 | code | 0.6731 | none | 0.3113 | null | [] | 
Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
Arxiv Technical Report: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
Codes: [https://github.com/m... | 3,806 | 172 | normal |
harisarang/benchmark-vidore-v3-finance-en | finance | 0.3803 | none | 0.2822 | null | [] | 0 | 16 | boundary | |
huuthanh615/dataset_2505 | none | 0.3998 | chemistry | 0.1442 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/instruction_filtering_scale_up_math_base_fasttext_per_domain_2K | none | 0.6863 | math | 0.1993 | null | [] | 0 | 4 | normal | |
HuggingFaceH4/Llama-3.2-1B-Instruct-DVTS-completions | none | 0.7461 | code | 0.2176 | null | [] | 0 | 55 | normal | |
SaladTechnologies/fiction-1b | none | 0.9636 | code | 0.0248 | null | [
"art"
] | # Fiction 1B
More than 1B words of narrative fiction sourced from [Project Gutenberg](https://www.gutenberg.org/), [AO3](https://archiveofourown.org/), and [Internet Archive](https://archive.org/).
## Dataset Details
### Dataset Description
This contains the text of roughly 20,000 works of narrative fiction from th... | 3,741 | 102 | normal |
lbxa/rubix_stack | none | 0.9052 | code | 0.0896 | 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",
"... | 3,587 | 6 | normal |
french-open-data/inventaire-des-archives-du-climat-conservees-a-la-direction-de-la-climatologie-et-des-services-c | climate | 0.7204 | cybersecurity | 0.1755 | null | [
"archive",
"archives",
"climat",
"climatologie",
"mesure",
"mesures",
"meteo",
"meteofrance",
"meteorologie",
"observation",
"observations",
"precipitations",
"temperature",
"temperatures",
"dataset_for_agent"
] | # Inventaire des archives du climat conservées à la Direction de la Climatologie et des Services Climatiques à Toulouse
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Inventaire des archives du climat conservées à la Direction de la Climatologie et des ... | 1,584 | 8 | normal |
YanAdjeNole/Passage_ranking5_test | none | 0.4246 | code | 0.158 | null | [] | 0 | 19 | normal | |
mlfoundations-dev/r1_annotated_aime | none | 0.5361 | climate | 0.1163 | null | [] | 0 | 19 | normal | |
winnieyangwannan/mitchell-filtered-facts-gemma-2-9b-it-None | none | 0.9235 | code | 0.0394 | null | [] | 0 | 3 | normal | |
zjhhhh/iter2_7b_min_gap_0.17_scores_adversary_10 | none | 0.7576 | code | 0.1001 | null | [] | 0 | 3 | normal | |
tyanfarm/llama3-8b-hotels-information-mixed-finetuned-evaluation | none | 0.8432 | finance | 0.0438 | null | [] | 0 | 4 | normal | |
prli/wiki-full-10 | none | 0.6243 | code | 0.0919 | null | [] | 0 | 5 | normal | |
rliu71129/DP_dataset3 | none | 0.9132 | code | 0.0771 | 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",
"... | 2,516 | 25 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.0_num-company_2_dataset_0_for_gen_2 | none | 0.8995 | biology | 0.0365 | null | [] | 0 | 4 | normal | |
hieunguyen1053/qa-forms | none | 0.4098 | chemistry | 0.1204 | null | [] | 0 | 4 | normal | |
DCAgent2/terminal_bench_2_exp_tas_optimal_combined_traces_20260321_194745 | code | 0.4423 | none | 0.4217 | null | [] | 0 | 8 | boundary | |
RobotisSW/ffw_sg2_rev1_task_299_0203_bokyung_1 | none | 0.8747 | code | 0.1209 | null | [
"ffw_sg2_rev1",
"robotis"
] | 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",
"... | 4,885 | 197 | normal |
HarrisonLee24/record-260205 | none | 0.9182 | code | 0.0763 | 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",
"... | 3,583 | 13 | normal |
Caplin43/HAN-Humanoid-Balance-Control-Dataset | none | 0.9077 | medical | 0.0719 | null | [] | # HAN Humanoid Balance Control Dataset
## Overview
This dataset is designed for humanoid robot balance and posture stabilization training.
## Description
The dataset contains joint sensor readings and balance correction labels
collected from humanoid robot simulations.
## Data Structure
- timestamp
- joint_angle_1
-... | 633 | 12 | normal |
Naiina/mini_dataset_anim | none | 0.5564 | climate | 0.1215 | null | [] | 0 | 3 | normal | |
EricPeter/msc-ufal | none | 0.9723 | code | 0.0108 | null | [] | # Dataset Card for "msc-ufal"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 162 | 13 | normal |
smirki/UIGEN-T1.1-TAILWIND | chemistry | 0.4231 | none | 0.275 | null | [] | 0 | 106 | boundary | |
DCAgent2/terminal_bench_2_exp_psu_swesmith_1K_glm_4_7_traces_jupiter__0_005__Qwen3_8B_2082f4edef | code | 0.8456 | none | 0.0961 | null | [] | 0 | 6 | new_discovery | |
harunayoung1002/base-future | none | 0.7553 | code | 0.0904 | null | [] | 0 | 5 | normal | |
dgonier/ipda-2ar-golden-samples | legal | 0.5107 | none | 0.4274 | null | [
"debate",
"ipda",
"2ar",
"1ar"
] | # IPDA Golden Samples (2AR + 1AR)
Golden samples for fine-tuning debate models on affirmative rebuttal speeches in IPDA format.
## Dataset Description
**422 high-quality samples** for SFT training:
- **260 2AR** (Second Affirmative Rebuttal)
- **162 1AR** (First Affirmative Rebuttal)
## Dataset Sources
| Model | 2... | 1,919 | 12 | boundary |
macabdul9/OlympiadBench_TextOnly_Math | none | 0.3459 | math | 0.3444 | null | [] | 0 | 4 | normal | |
SeppeV/joke_gen__mistral_bm_for_different_prompts_jo | none | 0.8355 | code | 0.0443 | null | [] | 0 | 5 | normal | |
team-mikita/subterfuge_icrl | none | 0.6858 | code | 0.0923 | null | [] | 0 | 4 | normal | |
Yunan90/no0 | none | 0.2741 | climate | 0.1901 | null | [] | 0 | 9 | normal | |
french-open-data/subventions-aux-associations | none | 0.5797 | cybersecurity | 0.3066 | null | [
"associations",
"subventions",
"dataset_for_agent"
] | # Subventions aux associations
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Subventions aux associations** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6728d434da734e3499f0b0f4
## Description
Liste des subventions aux association... | 849 | 10 | normal |
strikerhell/Emilia_Speaker_0_test_pub | none | 0.9663 | code | 0.0151 | null | [] | # Dataset Card for "Emilia_Speaker_0_test_pub"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 179 | 3 | normal |
zai-org/ComplexFuncBench | code | 0.8837 | none | 0.0739 | null | [] | # Introduction
Complex Function Calling Benchmark (`ComplexFuncBench`) is specillly designed for complex function calling evaluation. The ComplexFuncBench dataset encompass 1,000 complex function calling samples from five aspects: (1) Function calling with **multi-step** in single turn; (2) Function calling with user-p... | 3,136 | 133 | new_discovery |
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