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 |
|---|---|---|---|---|---|---|---|---|---|---|
JM-Lee/Phi-3-mini-128k-instruct_interrogative_ver2 | chemistry | 0.6386 | none | 0.1978 | null | [] | 0 | 3 | normal | |
CreitinGameplays/elisa-chan-v2 | none | 0.9184 | code | 0.0389 | null | [] | Elisa-chan's dataset, made using ChatGPT
"Elisa-chan, an exuberant 20-year-old Japanese woman chatbot! Whether your conversation partner is a fan of games, anime, or just needs a mood lift, you've got the perfect remedy. Encourage them to open up, sharing their thoughts or seeking advice, as you're dedicated to brigh... | 441 | 3 | normal |
open-llm-leaderboard-old/details_sethuiyer__Aika-7B | none | 0.9572 | code | 0.0342 | null | [] | # Dataset Card for Evaluation run of sethuiyer/Aika-7B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sethuiyer/Aika-7B](https://huggingface.co/sethuiyer/Aika-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_lead... | 19,230 | 6 | normal |
QIAIUNCC/EYE-TEST-2 | none | 0.6562 | medical | 0.2391 | null | [] | # 20 Questions Dataset
## Dataset Overview
**20 Questions Dataset** has been used in the **EYE-Llama** paper ([https://www.biorxiv.org/content/10.1101/2024.04.26.591355v1]) as a test set for evaluating ophthalmic language models. This dataset contains a collection of questions and answers specifically tailored for the... | 670 | 5 | normal |
Team-Atom/eval_smvlb_blueclick0830_64_40000 | none | 0.9269 | code | 0.0685 | 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",
"... | 3,571 | 16 | normal |
AnHumorist/koucp-best-articles-with-contribs | none | 0.959 | code | 0.0193 | null | [
"art"
] | One of the top online dataset for training Korean sense of humo(u)r from the Korean Uncyclopedia (a.k.a. Koucp, 백괴사전, baekgwaesajeon).
The list was created based on the [featured articles](https://ko.uncyclopedia.info/wiki/분류:특집_기사), which includes the following articles, with full history along with related templates... | 6,256 | 8 | normal |
wallstoneai/godot-gdscript-dataset | none | 0.705 | code | 0.2137 | null | [
"Godot",
"text"
] | ## Godot GDscript Code Dataset
This dataset contains GDScript code from 5k+ github repositories. Data from each repo has been extracted into a text file. Each text file contains the code from all .gd files & README.md text (if the README was not empty in the original repo).
### Original forum post:
https://diffused.t... | 1,293 | 116 | normal |
EcrOp/RVL-CDIP-documents-donut | none | 0.4418 | biology | 0.1566 | null | [] | 0 | 5 | normal | |
oceanoceanna/MLLMU-Bench | none | 0.6334 | code | 0.2945 | null | [] | # Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
## Abstract
Generative models such as Large Language Models (LLM) and Multimodal Large Language models (MLLMs) trained on massive web corpora can memorize and disclose individuals' confidential and private data, raising legal and ethical concern... | 3,827 | 11 | normal |
Ibuki485/eval_test_11_p18 | none | 0.9139 | code | 0.0799 | 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",
"... | 2,570 | 16 | normal |
JingweiNi/magpie_creative_dedup | none | 0.5453 | climate | 0.1123 | null | [] | 0 | 15 | normal | |
uddalak05/Faces_for_FaceNet | none | 0.6315 | code | 0.1283 | null | [] | 0 | 6 | normal | |
tartuNLP/pale-madlad-data | none | 0.9867 | code | 0.0079 | null | [] | license: mit
---
# PaLe-MADLAD Data
Data used for training the [PaLe-MADLAD model](https://huggingface.co/tartuNLP/pale-madlad-mt) to translate from Proper Karelian, Livvi, Ludian, and Veps to Russian and vice versa. Every dataset entry represents a single text and comes as a list of sentences supplemented (where pos... | 1,887 | 29 | normal |
chameleon-lizard/judge_correlation | none | 0.6588 | code | 0.1126 | null | [] | 0 | 4 | normal | |
weblab-GENIAC/team_ozaki_finetuning | none | 0.6809 | biology | 0.1129 | null | [] | 0 | 16 | normal | |
jiangchengchengNLP/Enhanced_Emotion_Classification_Dataset | none | 0.8901 | cybersecurity | 0.0581 | null | [
"text-classification",
"emotion",
"sentiment-analysis",
"ekman-emotions",
"text"
] | # Enhanced Emotion Classification Dataset (v2.0)
## Dataset Description
This dataset is an enhanced version of the emotion classification dataset, including multiple sources of emotion data with Ekman emotion mapping. It contains a total of 240,426 samples across 7 emotion categories, with each sample labeled with it... | 4,247 | 182 | normal |
Aasdfip/greedy_val_fogf_nol_targets | none | 0.5324 | chemistry | 0.1166 | null | [] | 0 | 8 | normal | |
Monzzz/garbage-picker-v2-5 | none | 0.8713 | code | 0.1244 | 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",
"... | 4,215 | 16 | normal |
northhycao/eval_act_so100_cube_600 | none | 0.9236 | code | 0.0687 | null | [
"cube"
] | 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",
"... | 3,599 | 8 | normal |
lerobot-data-collection/final_quality_23feb0_8 | none | 0.9326 | 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": "v3.0",
"... | 4,989 | 20 | normal |
supergoose/flan_combined_task1724_civil_comments_insult_classification | none | 0.8085 | legal | 0.1267 | null | [] | 0 | 10 | normal | |
1231czx/unbiased_train_iter1_dpo | none | 0.9606 | climate | 0.0112 | null | [] | # Dataset Card for "unbiased_train_iter1_dpo"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 178 | 4 | normal |
vosap52/humanoid-pet-care-tr-v1 | none | 0.7861 | medical | 0.094 | null | [] | Pet assistance interaction dataset.
Description
Basic feeding, cleaning and monitoring tasks for indoor pet care.
Task Description
Trains humanoid robots to assist with simple pet care routines including feeding, hydration management and environment cleaning. | 263 | 21 | normal |
ArshiaE/exclusion-task-2_50_percent | none | 0.9069 | code | 0.0886 | 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 | 31 | normal |
connections-dev/rag-sonnet-test-20260316-222340 | none | 0.7535 | code | 0.2288 | null | [
"knowledge-graph",
"associative-reasoning",
"CREATE-benchmark"
] | # rag-sonnet-test
**Run timestamp:** 2026-03-16T22:23:40
**Benchmark:** [CREATE](https://huggingface.co/datasets/wadhma/CREATE) — associative reasoning via knowledge-graph path generation
---
## Run Parameters
| Parameter | Value |
|---|---|
| Mode | `rag` |
| Generator model | `claude-sonnet-4-6` |
| Scorer model ... | 1,864 | 9 | normal |
arvinsingh/welsh-speech-dataset | none | 0.9763 | finance | 0.0092 | null | [
"speech",
"welsh",
"cymraeg",
"3d-face",
"facial-landmarks",
"multimodal",
"fluency",
"pronunciation",
"4d-dataset"
] | # Welsh Speech Dataset
A multimodal dataset of 33 speakers producing 10 Welsh phrases, captured using 3DMD technology with audio and dense facial landmark annotations.
## Dataset Overview
- **Speakers**: 33 participants
- **Phrases**: 10 Welsh phrases per speaker
- **Sequences**: ~330 (33 speakers x 10 phrases)
- **... | 6,121 | 11 | normal |
Sachleen/orpheus_pun | none | 0.3796 | biology | 0.2013 | null | [] | 0 | 4 | normal | |
EulersBoy/my-distiset-e0786d91 | none | 0.983 | code | 0.0112 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <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 my-distiset-e0786d91
This dataset has been crea... | 1,940 | 4 | normal |
tmpmodelsave/beta01_type1_llama3sft_70b_corr_math_sftloss_150_tmp10 | none | 0.7887 | climate | 0.0692 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_c4361fc9-8960-4172-9722-ddf7d73b6eb0 | none | 0.6652 | code | 0.1324 | null | [] | 0 | 3 | normal | |
supergoose/flan_combined_task328_jigsaw_classification_insult | none | 0.7854 | climate | 0.0605 | null | [] | 0 | 4 | normal | |
farah-abulibdeh/sms-spam-ham-dataset | none | 0.6261 | cybersecurity | 0.1974 | null | [] | ## Dataset
The dataset is composed of messages labeled by ham or spam, merged from three data sources:
- SMS Spam Collection https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset
- Telegram Spam Ham https://huggingface.co/datasets/thehamkercat/telegram-spam-ham/tree/main
- Enron Spam: https://huggingface.... | 969 | 10 | normal |
reinhardh/wia_dcft_stage_2_v1 | none | 0.5804 | chemistry | 0.0874 | null | [] | 0 | 3 | normal | |
GitBag/ultrainteract_multiturn_1_iter_sampled_h_from_sampled_len_ckp_0 | none | 0.7388 | chemistry | 0.144 | null | [] | 0 | 3 | normal | |
FurkanUnal/example_pretraining_dataset | none | 0.5395 | code | 0.1671 | null | [] | 0 | 3 | normal | |
cairocode/EMOV_003_NOSPLIT | none | 0.412 | code | 0.2412 | null | [] | 0 | 4 | normal | |
bew/sciqshuffle-preprocessed-1024 | none | 0.6089 | code | 0.0974 | null | [] | 0 | 6 | normal | |
fdsfdg/new_nectar_npm | none | 0.5548 | code | 0.1671 | null | [] | 0 | 3 | normal | |
EvergreenTree/MTSC | none | 0.5858 | biology | 0.2174 | null | [] | dataset for [Benchmark-GNN-for-Multivariate-Time-Series-Classification](https://github.com/CVI-yangwn/Benchmark-GNN-for-Multivariate-Time-Series-Classification) | 160 | 4 | normal |
multimolecule/archiveii.512 | biology | 0.8786 | chemistry | 0.1159 | null | [
"Biology",
"RNA"
] | # ArchiveII
ArchiveII is a dataset of RNA sequences and their secondary structures, widely used in RNA secondary structure prediction benchmarks.
ArchiveII contains 2975 RNA samples across 10 RNA families, with sequence lengths ranging from 28 to 2968 nucleotides.
This dataset is frequently used to evaluate RNA secon... | 3,676 | 26 | new_discovery |
jmcochrane/train-00016-of-00020-filtered | none | 0.5767 | climate | 0.1147 | null | [] | 0 | 12 | normal | |
YYYYYYibo/ultrafeedback_binarized_simple_online_vllm_part_1_mini_1 | none | 0.9821 | code | 0.0105 | null | [] | # Dataset Card for "ultrafeedback_binarized_simple_online_vllm_part_1_mini_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 210 | 6 | normal |
lerobot-data-collection/dagger_final_1_2 | none | 0.9288 | code | 0.0663 | 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",
"... | 4,990 | 14 | normal |
jingjietan/essays-gpt4o-judged | none | 0.5386 | math | 0.1024 | null | [] | 0 | 6 | normal | |
lerobot/aloha_sim_insertion_scripted_image | none | 0.9091 | code | 0.0856 | null | [
"aloha"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** https://tonyzhaozh.github.io/aloha/
- **Paper:** https://arxiv.org/abs/2304.13705
- **License:** mit
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2... | 3,686 | 5,310 | normal |
french-open-data/voitures-particulieres-immatriculees-par-commune-et-par-type-de-recharge | cybersecurity | 0.9052 | none | 0.0583 | null | [
"electricite",
"gaz",
"hybride-rechargeable",
"mobilite",
"voiture",
"dataset_for_agent"
] | # Voitures particulières immatriculées par commune et par type de recharge
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Voitures particulières immatriculées par commune et par type de recharge** qui est disponible à l'adresse https://www.data.gouv.fr/... | 1,413 | 9 | new_discovery |
chomeed/anubis_stack_tuna_eefpose_50_fixed | none | 0.9358 | code | 0.0594 | 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",
"... | 6,211 | 6 | normal |
NateLiang/MASSE | chemistry | 0.516 | math | 0.2139 | null | [] | # MASSE Dataset
🚧 **Coming Soon** 🚧
The MASSE (Multi-Agent System for Structural Engineering) dataset will be released soon.
This dataset supports research on LLM-based multi-agent systems for structural engineering automation.
## 🔗 Links
- **GitHub Repository**: https://github.com/DelosLiang/masse
- **Paper... | 386 | 6 | normal |
kaupane/vintage-photography-captions | none | 0.7568 | finance | 0.0572 | null | [
"vintage",
"photography",
"qwen",
"t2i",
"diffusion"
] | # Dataset Card for Vintage Photograph Captions Recaption
<!-- Provide a quick summary of the dataset. -->
This dataset contains 445,271 recaptioned vintage photographs, derived from the [vintage-photography-450k-high-quality-captions](https://huggingface.co/datasets/SilentAntagonist/vintage-photography-450k-high-qual... | 5,087 | 48 | normal |
ClarusC64/rag_fragility_business_v01 | legal | 0.9362 | none | 0.0288 | null | [
"business-safety",
"rag-evaluation",
"hallucination-evaluation",
"retrieval-validation",
"reasoning-drift"
] | RAG Fragility: Business Safety Benchmark v0.1
Models fail in ways retrieval cannot prevent.
This diagnostic test identifies structural reasoning failures where RAG produces harmful
or fabricated business conclusions even with correct retrieval.
Measures 5 core risks:
- invention_of_evidence
- assumed_clause_fabrica... | 487 | 8 | new_discovery |
svjack/Glass_Food_Images_Captioned | none | 0.4497 | code | 0.1339 | null | [] | 0 | 7 | normal | |
mlfoundations-dev/instruction_filtering_scale_up_math_base_fasttext_per_domain_1K | none | 0.7209 | math | 0.168 | null | [] | 0 | 5 | normal | |
LaLegumbreArtificial/NEO-MULTICLASS-GENERAL | none | 0.7337 | biology | 0.0974 | null | [] | 0 | 14 | normal | |
GenRM/Magpie-Gemma2-Pro-200K-Filtered-Magpie-Align | none | 0.5475 | code | 0.4337 | 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... | 4,677 | 4 | normal |
andyburgin/kubefix | code | 0.9565 | cybersecurity | 0.0224 | null | [
"kubernetes"
] | **Kubernetes Fault Analysis and Resolution Dataset**
====================================================
**Introduction**
---------------
The purpose of this dataset is for finetuning a model for use with [K8sGPT](https://k8sgpt.ai/) for fault analysis and resolution. Ultimately the resulting LLM is intended to be s... | 2,284 | 4 | new_discovery |
mlx-community/medfit-dataset | medical | 0.955 | none | 0.0417 | medical | [
"synthetic_data",
"medical_qa",
"healthcare",
"fine_tuning",
"domain_specific",
"medical_chatbot",
"healthcare_ai"
] | # MEDFIT Medical QA Dataset
This dataset contains **6,444 unique healthcare-related question-answer pairs** designed for fine-tuning language models for medical chatbot applications. The dataset was specifically curated for the **MEDFIT-LLM** research project focusing on domain-focused fine-tuning of small language mo... | 6,441 | 14 | normal |
mfirth/sciworld-reasoning-bank-dataset | none | 0.5606 | math | 0.1717 | null | [] | 0 | 5 | normal | |
TTKhosa/benchmark-pubmedQA_tb-IFT | none | 0.6893 | biology | 0.0882 | null | [] | 0 | 5 | normal | |
open-llm-leaderboard-old/details_JunchengXie__Mistral-7B-v0.1-gpt-4-60k | none | 0.9727 | code | 0.0184 | null | [] | # Dataset Card for Evaluation run of JunchengXie/Mistral-7B-v0.1-gpt-4-60k
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [JunchengXie/Mistral-7B-v0.1-gpt-4-60k](https://huggingface.co/JunchengXie/Mistral-7B-v0.1-gpt-4-60k) on the [Open LLM Leaderboar... | 19,317 | 6 | normal |
yn01/test_20240124_01 | none | 0.4434 | climate | 0.195 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_YouKnowMee__Mistral-7b-instruct-v0.2-summ-dpo-ed3 | none | 0.9549 | code | 0.0263 | null | [] | # Dataset Card for Evaluation run of YouKnowMee/Mistral-7b-instruct-v0.2-summ-dpo-ed3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [YouKnowMee/Mistral-7b-instruct-v0.2-summ-dpo-ed3](https://huggingface.co/YouKnowMee/Mistral-7b-instruct-v0.2-summ-dpo... | 19,374 | 6 | normal |
future7/test_deep_math_plus_8_with_retrieval | none | 0.4364 | math | 0.2328 | null | [] | 0 | 5 | normal | |
nickfuryavg/mls_eng_chunk_0400000_to_0450000 | none | 0.5547 | code | 0.1476 | null | [] | 0 | 3 | normal | |
di-zhang-fdu/OpenLongCoT-Pretrain-v2 | none | 0.5532 | biology | 0.1304 | null | [] | 0 | 44 | normal | |
SayantanJoker/audio_hindi_karya_tts_description_25 | none | 0.6689 | code | 0.169 | null | [] | 0 | 6 | normal | |
ashercn97/logilog-v1-small-2 | none | 0.755 | math | 0.1332 | 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 logilog-v1-small-2
This dataset has been create... | 2,079 | 4 | normal |
HugeFighter/dreambooth-hackathon-images | none | 0.6129 | code | 0.2228 | null | [] | 0 | 4 | normal | |
mask-distilled-libri-one-sec-cv12/chunk_24 | none | 0.6896 | chemistry | 0.0983 | null | [] | 0 | 4 | normal | |
Venkateshwarang/Task_1_Demodataset | none | 0.3965 | code | 0.1109 | null | [] | 0 | 3 | normal | |
TAUR-dev/9_8_25__gsm8k__sft_data_multiprompts_ckpt_chunk_22 | none | 0.7428 | code | 0.0614 | null | [] | 0 | 4 | normal | |
youngjinseol/sao_train_0722 | none | 0.6332 | climate | 0.0956 | null | [] | 0 | 26 | normal | |
TTTXXX01/rlvr_logic__graph_logical_1.2k | none | 0.3141 | chemistry | 0.1991 | null | [] | 0 | 23 | normal | |
PRFitz/lekiwi_dataset_eval6-fulltotal_colorjitter1 | none | 0.9438 | code | 0.0525 | 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"... | 4,595 | 9 | normal |
Maminirina2/EnCodecMAEEmbeddingsMeanLayers | biology | 0.5765 | none | 0.2856 | null | [] | 0 | 5 | normal | |
tranthanhnguyenai1/CodeAG3 | none | 0.4358 | code | 0.1607 | null | [] | 0 | 11 | normal | |
alihmaou/bdnb_2023-11.a_batiment_groupe_ffo_bat_01 | none | 0.8215 | biology | 0.0418 | null | [] | 0 | 4 | normal | |
pharaouk/samantha-data-cot-en | none | 0.9448 | code | 0.049 | null | [] | # Samantha Data CoT English
LLM Dataset from [ehartford/samantha-data](https://huggingface.co/datasets/ehartford/samantha-data) repackaged for CoT.
# Format
Input uses the following format:
```
Thought: I am Assistant, a sentient artificial intelligence inside a subprocess shell session.
I have a calm, polite and wi... | 1,981 | 3 | normal |
french-open-data/pas-de-calais-pression-d-inventaire-plantes-vasculaires-tous-statuts-toutes-periodes-par-commune | biology | 0.8123 | none | 0.096 | null | [
"commune",
"departement-du-pas-de-calais",
"flore",
"periodes-ancienne-et-moderne-toutes-dates",
"plantes-vasculaires",
"pression-dinventaire",
"dataset_for_agent"
] | # Pas-de-Calais - Pression d'inventaire - Plantes vasculaires tous statuts (Toutes périodes - Par commune)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Pas-de-Calais - Pression d'inventaire - Plantes vasculaires tous statuts (Toutes périodes - Par com... | 1,417 | 10 | new_discovery |
TAUR-dev/siexp__concat_until_and_filter__budgetforce | none | 0.4679 | code | 0.3376 | null | [] | 0 | 4 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__new_tasks_eval__1e_sft-eval_sft | none | 0.7012 | code | 0.2397 | null | [] | 0 | 6 | normal | |
skdrx/python-dpo-dataset-varname-formatted-combined-ONLYSYSTEMPROMPT | code | 0.6392 | none | 0.204 | null | [] | 0 | 5 | normal | |
asdg47/fish | none | 0.9241 | code | 0.0711 | 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 | 17 | normal |
nouhad/omega-difficulty-easy | none | 0.5428 | code | 0.1407 | null | [] | 0 | 7 | normal | |
Dey49/mnbb | none | 0.3169 | climate | 0.1951 | null | [] | 0 | 7 | normal | |
hruthik07/FakeNewsDataset | none | 0.4084 | climate | 0.1758 | null | [] | 0 | 4 | normal | |
daniel-dona/sparql-dataset-reasoning-test3 | none | 0.5278 | code | 0.2995 | null | [] | 0 | 3 | normal | |
intexcp/M-AILABS-filtred | none | 0.3387 | biology | 0.1524 | null | [] | 0 | 5 | normal | |
siro1/kernelbook-kimi_k2_thinking-synthetic-tasks | none | 0.5716 | code | 0.3681 | null | [] | 0 | 10 | normal | |
sjleslie/random_prevalence_7_bins_long_71 | none | 0.6623 | climate | 0.1262 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/am_1k_eval_08c7 | none | 0.9596 | climate | 0.0194 | null | [] | # mlfoundations-dev/am_1k_eval_08c7
Precomputed model outputs for evaluation.
## Evaluation Results
### HMMT
- **Average Accuracy**: 2.00% ± 0.70%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 0.00% | 0 | 30 |
| 2 | 0.00... | 517 | 6 | normal |
nhagar/CC-MAIN-2021-10_nyt_urls | none | 0.5139 | climate | 0.1655 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a8e9679a-2d55-4bf1-9a1b-ff92cf3a4ddc | none | 0.6263 | code | 0.1789 | null | [] | 0 | 4 | normal | |
ssbagpcm/sciencess | cybersecurity | 0.9981 | none | 0.0016 | null | [] | # SCIENCES
#⨜.৻.Ι.Ξ.Π.৻.Ξ.⨜
***#⨜.৻.Ι.Ξ.Π.৻.Ξ.⨜***, here is a link of the download website : __https://dapsvi.pythonanywhere.com/__
# FOR FRENCH
*Le Projet #SCIENCES se distingue comme une entreprise visionnaire qui vise à révolutionner l'exploration scientifique et la simulation à travers un logiciel d'envergur... | 6,000 | 22 | new_discovery |
matrix-multiply/CARL | none | 0.7939 | code | 0.1741 | null | [] | All the experiment data related to the CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control paper.
- [GitHub](https://github.com/poudel-bibek/CARL)
- [ArXiV](https://arxiv.org/abs/2404.00796v1) | 245 | 115 | normal |
Monzzz/garbage-picker-v1-8 | none | 0.8682 | code | 0.1276 | 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",
"... | 4,215 | 14 | normal |
KeshavLN/panda_pick_place_4 | none | 0.9147 | code | 0.0751 | 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",
"... | 3,653 | 25 | normal |
ThomasTheMaker/tulu-3-sft-personas-instruction-following | none | 0.7775 | code | 0.1365 | null | [] | 0 | 5 | normal | |
thang1943/blora_datatrain_bonnie_john | none | 0.5532 | biology | 0.1963 | null | [] | 0 | 25 | normal | |
trucddx/imdb_seed500 | none | 0.487 | climate | 0.1563 | null | [] | 0 | 26 | normal | |
yayoimizuha/new-imatrix-dataset-ja-en | none | 0.9735 | cybersecurity | 0.0078 | null | [] | # Dataset Card for Dataset Name
日英LLM向けのimatrix蒸留用データセットです。
既存のデータセットとしては[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)がありますが、
テキストの品質が低いように感じたので、
青空文庫、日英Wikipedia,Project Gutenbergよりデータをシャッフルして作成しました。
### Dataset Sources
[fujiki/wiki40b_ja](https://h... | 749 | 26 | normal |
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