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 |
|---|---|---|---|---|---|---|---|---|---|---|
1231czx/7b_dpo_iter2_data_gen_by_sft1epoch_and_dpoiter1_sft1epoch | none | 0.7639 | climate | 0.1561 | null | [] | 0 | 4 | normal | |
OALL/details_sambanovasystems__SambaLingo-Arabic-Base | none | 0.9484 | code | 0.047 | null | [] | # Dataset Card for Evaluation run of sambanovasystems/SambaLingo-Arabic-Base
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [sambanovasystems/SambaLingo-Arabic-Base](https://huggingface.co/sambanovasystems/SambaLingo-Arabic-Base).
The dataset is comp... | 24,889 | 6 | normal |
ahmet215/ulaknet | none | 0.3401 | chemistry | 0.1178 | null | [] | 0 | 4 | normal | |
kowndinya23/flan2022-4096-1840-tasks-logdet-50000-instances-gc | none | 0.9731 | code | 0.0219 | null | [] | # Dataset Card for "flan2022-4096-1840-tasks-logdet-50000-instances-gc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 204 | 4 | normal |
tyzhu/bio_1k_test | none | 0.3528 | chemistry | 0.2692 | null | [] | 0 | 29 | normal | |
Rendra86318/vision | none | 0.8924 | code | 0.0615 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # vision
**This dataset was generated using a [phospho dev kit](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. | 289 | 15 | normal |
milosvuk/GANcMRI | medical | 0.9267 | none | 0.0641 | null | [
"Video",
"Medicine",
"Cardiology",
"MRI",
"Heart"
] | # GANcMRI dataset 🫀
[Paper](https://proceedings.mlr.press/v225/vukadinovic23a.html) | [Code](https://github.com/vukadinovic936/GANcMRI) | [Follow on X](https://x.com/milos_ai)
## Dataset Overview
GANcMRI dataset is a synthetic video dataset containing 200K cardiac MRIs. All videos are apical four chamber view, 50 fra... | 2,939 | 118 | new_discovery |
test-gen/code_livecodebench_qwen2.5-7b_t1.0_n8_tests_livecodebench_qwen3-14b_t0.7_n1 | code | 0.8248 | none | 0.1622 | null | [] | 0 | 5 | new_discovery | |
zjhhhh/iter2_scores_base_70 | none | 0.7237 | code | 0.0774 | null | [] | 0 | 5 | normal | |
tahamajs/bitcoin_tweets_news_market_data_combined_v2 | finance | 0.6712 | none | 0.2719 | null | [] | 0 | 34 | normal | |
jjz5463/Uber_synthetic_sitemap | none | 0.6403 | finance | 0.2842 | null | [
"datadreamer",
"datadreamer-0.38.0",
"gpt-4"
] | # Dataset Card
[Add more information here](https://huggingface.co/datasets/templates/dataset-card-example)
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | 253 | 29 | normal |
SilentAntagonist/vintage-photography-450k-high-quality-captions | none | 0.7712 | chemistry | 0.0578 | null | [] | This is a 450k image datastet focused on photography from the 20th century, and their analog aspect. Many of the images are in high resolution. This dataset currently has 20k images captioned with InternVL2 26B, and is a work in progress (I plan to caption the entire dataset and also have short captions for all of the ... | 357 | 25 | normal |
doushabao4766/simple_k_wc | none | 0.4173 | code | 0.1821 | null | [] | 0 | 3 | normal | |
ddamianos/gpc-all-08-190000 | none | 0.5641 | climate | 0.15 | null | [] | 0 | 5 | normal | |
jackvial/data-studio-merge-test-002 | none | 0.9876 | code | 0.0043 | null | [] | # Merged LeRobot Dataset
This dataset was created by merging multiple LeRobot datasets using the [LeRobot](https://github.com/huggingface/lerobot) merge tool.
## Source Datasets
This merged dataset combines the following 25 datasets:
- [jackvial/koch_screwdriver_attach_orange_panel_e125](https://huggingface.co/data... | 8,079 | 5 | normal |
ENSEONG/ko-ko-math-500-test-EXAONE-4.0-1.2B-bon | math | 0.4598 | none | 0.3637 | null | [] | 0 | 7 | boundary | |
joe32140/chime-claim-category | none | 0.933 | cybersecurity | 0.0185 | null | [
"medical",
"biology"
] | # Dataset Card for "chime-claim-category"
Dataset in the [CHIME](https://github.com/allenai/chime) paper.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 240 | 11 | normal |
jmarangola/nitish_constrained_ballplay | none | 0.908 | code | 0.0877 | 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",
"... | 2,501 | 12 | normal |
rainbowrobotics/bin_0324_dualArm_singleObj_merged | none | 0.9223 | code | 0.0728 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=rainbowrobotics/bin_0324_dualArm_singleObj_merged">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/v... | 5,204 | 10 | normal |
SumitAST/PaliGemma_CLEVR_Dataset | none | 0.404 | math | 0.1707 | null | [] | 0 | 3 | normal | |
u-lee/sports_news_calc | none | 0.692 | code | 0.0603 | null | [] | 0 | 4 | normal | |
tattabio/arch_retrieval | none | 0.5586 | biology | 0.1004 | null | [] | 0 | 55 | normal | |
oscarfco/R2E-Gym-Javi-InstallTest-10-Smoke | code | 0.4342 | none | 0.4044 | null | [] | 0 | 6 | boundary | |
imageomics/BaboonLand | none | 0.9038 | biology | 0.0464 | null | [
"baboons",
"video",
"animal behavior",
"behavior recognition",
"annotation",
"annotated video",
"conservation",
"drone",
"UAV",
"imbalanced",
"Kenya",
"Mpala Research Centre"
] | # Dataset Card for BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
## Dataset Description
- **Homepage:** [BaboonLand Site](https://baboonland.xyz/)
- **Paper:** [BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone V... | 11,093 | 69 | normal |
Lawrence/MMS_sample_test_with_transcriptions | none | 0.6185 | code | 0.094 | null | [] | 0 | 4 | normal | |
poojavalecha09/CommonVoice-hindi-personal-project | none | 0.6823 | code | 0.1198 | null | [] | 0 | 5 | normal | |
raptorkwok/cantonese-traditional-chinese-parallel-corpus-gen3 | none | 0.9696 | finance | 0.0139 | null | [] | # Cantonese-Written Chinese Parallel Corpus (CCPC)
## About the Dataset
### Data Splits
- Training Data (`train`): 160,000 Sentence Pairs
- Validation Data (`validation`): 20,000 Sentence Pairs
- Test Data (`test`): 5,461 Sentence Pairs
### Languages
- Cantonese (`yue`)
- Traditional Chinese (`zh-TW`)
### Original... | 4,922 | 33 | normal |
kapsb2171/lang-det-data | none | 0.9851 | code | 0.009 | 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 lang-det-data
This dataset has been created wit... | 1,882 | 5 | normal |
1231czx/rm_prefix_bon_02_n64 | none | 0.4717 | climate | 0.1593 | null | [] | 0 | 4 | normal | |
dancher00/PickCube-v1 | none | 0.6279 | code | 0.3293 | null | [
"tutorial"
] | This dataset was created using [ManiSkill](https://maniskill.readthedocs.io/en/latest/tasks/table_top_gripper/index.html#pickcube-v1).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
meta/info.json:
## Citat... | 377 | 7 | normal |
french-open-data/caracteristiques-des-retraites-conditions-de-liquidation | cybersecurity | 0.5894 | none | 0.353 | null | [
"carriere-longue",
"decote",
"eir2016",
"inaptitude",
"invalidite",
"retraite",
"surcote",
"taux-plein",
"dataset_for_agent"
] | # Caractéristiques des retraités - Conditions de liquidation
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Caractéristiques des retraités - Conditions de liquidation** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6226330bd2097f6c38e... | 599 | 13 | normal |
qianertongre/StyleRec | none | 0.9128 | code | 0.0285 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
StyleRec is a benchmark dataset for prompt recovery.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
StyleRec is a benchmark dataset for prompt recovery containing 10193 instances,... | 6,580 | 6 | normal |
supergoose/flan_combined_task308_jeopardy_answer_generation_all | none | 0.8575 | code | 0.0797 | null | [] | 0 | 5 | normal | |
inria-soda/carte-benchmark | none | 0.9776 | code | 0.0104 | null | [] | # CARTE: Pretraining and Transfer for Tabular Learning
This dataset is the tabular-data benchmark used in the CARTE paper (https://arxiv.org/abs/2402.16785)
CARTE is a pretrained model for tabular data by treating each table row as a star graph and training a graph transformer on top of this representation.
It has t... | 11,245 | 4,222 | normal |
daniel3303/GroundCap | none | 0.9747 | code | 0.0131 | null | [
"image-to-text",
"image-captioning",
"grounding"
] | # GroundCap Dataset
## Dataset Summary
GroundCap is a novel grounded image captioning dataset derived from MovieNet, containing 52,350 movie frames with detailed grounded captions. The dataset uniquely features an ID-based system that maintains object identity throughout captions, enables tracking of object interacti... | 4,824 | 76 | normal |
Phudish/pepsi-2021-10k_8192_1024_0.2_no_cartridge_qwen3-4b | none | 0.9669 | biology | 0.0128 | null | [
"continual-cartridges",
"self-study-synthesis"
] | # Dataset: Phudish/pepsi-2021-10k_8192_1024_no_cartridge_qwen3_4b
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Phudish/pepsi-2021-10k_8192_1024_no_cartridge_qwen3_4b")
``` | 199 | 4 | normal |
hurtIII/fromated_art_of_war | none | 0.6407 | cybersecurity | 0.0703 | null | [] | 0 | 5 | normal | |
Kukedlc/Spanish-Tulu-3-Selection | none | 0.5822 | code | 0.1543 | null | [] | 0 | 6 | normal | |
michaeldinzinger/msmarco-chunkeval-base-200k | none | 0.7467 | code | 0.0837 | null | [
"text-retrieval"
] | 0 | 3 | normal | |
RemkoPr/test_dataset | none | 0.8011 | code | 0.1799 | 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",
"... | 4,526 | 19 | normal |
kshitijthakkar/smoltrace-metrics-20251120_144649 | none | 0.5415 | code | 0.1941 | null | [] | 0 | 4 | normal | |
test-gen/code_mbpp_qwen2.5-3b_t0.1_n8_tests_mbpp_qwen3-1.7b-easy-unique_t0.0_n1 | code | 0.745 | none | 0.2445 | null | [] | 0 | 5 | normal | |
ceymox/ml-tts-collections | chemistry | 0.3289 | none | 0.2637 | null | [] | 0 | 6 | boundary | |
Jackson0018/Preference_Set_Llama-3.2-3B-Instruct_DPO_ref_as_gt_True_IterRet_individual_recall_True_top_k_30 | none | 0.7769 | code | 0.1716 | null | [] | 0 | 15 | normal | |
yzembodied/libero_90_image_task_15 | none | 0.8775 | code | 0.1106 | 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",
"... | 3,335 | 3 | normal |
yobro4619/mathvision-subquestions | math | 0.5605 | none | 0.2389 | null | [] | 0 | 4 | normal | |
almarinastudio/dataset31 | none | 0.4895 | biology | 0.0993 | null | [] | 0 | 4 | normal | |
phoner45/iapp_thaiqa | none | 0.6441 | chemistry | 0.1021 | null | [] | 0 | 7 | normal | |
aisi-whitebox/mo1x_checkpoint_24_ARC-Challenge_cot | cybersecurity | 0.5464 | none | 0.3874 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_24_ARC-Challenge_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-20.
### Model Information
- **Model**: `vllm/checkpoint-24`
### Task Information
- **Tasks**: `ARC-Challenge_cot`
### Syst... | 1,495 | 5 | normal |
DCAgent2/swebench_verified_random_100_folders_exp_uns_r2egym_8_4x_glm_4_7_traces_jupiter052d5a37 | none | 0.8451 | code | 0.1238 | null | [] | 0 | 14 | normal | |
JisooSong/sandwich_826to830_vhlv | none | 0.9495 | code | 0.0478 | 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",
"... | 5,388 | 4 | normal |
zypchn/TUS | none | 0.6173 | medical | 0.2357 | medical | [
"medical"
] | TUS (Turkish Specialty Exam in Medicine) split of [Turkish MMLU: Yapay Zeka ve Akademik Uygulamalar İçin En Kapsamlı ve Özgün Türkçe Veri Seti](https://huggingface.co/datasets/alibayram/turkish_mmlu)
<br/>
This dataset is a filtered version of the original.
- Embeddings with similarity score higher than **0.85** in ... | 1,120 | 85 | tag_disagree |
Gukchan/eval_isaacSim_pickandplace | none | 0.9023 | code | 0.0893 | 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",
"... | 2,573 | 4 | normal |
seidlr/MagnusInstruct | none | 0.3824 | code | 0.1717 | null | [] | 0 | 5 | normal | |
Jinyu220/av_aloha_peg-insertion-v1-v1_1 | none | 0.8923 | code | 0.1029 | 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",
"... | 6,635 | 5 | normal |
remyxai/openspaces-exploded | none | 0.5871 | code | 0.1693 | null | [] | 0 | 37 | normal | |
Ransaka/SSOCR-1k | none | 0.3117 | biology | 0.2337 | null | [] | 0 | 4 | normal | |
LLMTeamAkiyama/clean_cot_verification_340k | math | 0.5639 | none | 0.258 | null | [
"text",
"reasoning"
] | 元データ: https://huggingface.co/datasets/Zigeng/CoT-Verification-340k
使用したコード: https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/CoT-Verification-340k
- データ件数: 140,980
- 平均トークン数: 602
- 最大トークン数: 2,040
- 合計トークン数: 84,894,510
- ファイル形式: JSONL
- ファイル分割数: 2
- 合計ファイルサイズ: 256.3 MB
加工内容：
- **データセッ... | 1,671 | 7 | normal |
TahaBa/flan-MoE-dataset | none | 0.5874 | climate | 0.1617 | null | [] | 0 | 22 | normal | |
YuminChoi/ThinkSafe-qwen-0.6B-star41k | none | 0.8364 | code | 0.0871 | null | [] | 0 | 3 | normal | |
lhkhiem28/ZINC20 | none | 0.3298 | biology | 0.1741 | null | [] | 0 | 78 | normal | |
akseljoonas/codeagent-traces | code | 0.3296 | none | 0.2414 | null | [] | 0 | 6 | boundary | |
sert121/ad_instruct_containing_a_e_m_o_h_test | none | 0.9335 | legal | 0.0459 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_5_features
# Features Used
['education', 'age', 'hours-per-week', 'marital-status', 'occupation']
## Dataset Description
Top 5 features selected from the adult dataset by th... | 326 | 4 | normal |
adungus/eval_test_logging_1 | none | 0.9504 | code | 0.0447 | 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",
"... | 2,942 | 27 | normal |
TheFactoryX/edition_0508_tatsu-lab-alpaca-readymade | none | 0.9715 | code | 0.0244 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0508_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 4 | normal |
Arebo/grabgreen | none | 0.9223 | 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",
"... | 2,861 | 8 | normal |
mesolitica/Emilia-Mandarin-Description-Instructions | none | 0.9804 | code | 0.0151 | null | [] | # Emilia-Mandarin-Description-Instructions
Originally from [mesolitica/Extra-Emilia/mandarin_v2](https://huggingface.co/datasets/mesolitica/Extra-Emilia/viewer/default/mandarin_v2), we use [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) to generate description based on the transcription.
... | 741 | 9 | normal |
saurabh5/open-code-reasoning-sft-n-1 | code | 0.7808 | none | 0.1417 | null | [] | 0 | 4 | normal | |
equiron-ai/eva.ignore_message.v1 | none | 0.4542 | climate | 0.2389 | null | [] | 0 | 3 | normal | |
georgepzacharia/javascript_obfuscated_dataset_public | none | 0.6358 | code | 0.127 | null | [] | 0 | 5 | normal | |
sunorme/Chinese-H-Novels | none | 0.9228 | code | 0.0506 | null | [
"art"
] | Update 12/07/2024: convert to parquet to download easier.
Chinese 18+ novels corpus, use at your own risk, you and only you are responsible for every choice you make.
(͡ ° ͜ʖ ͡ °)
tags: socks, garter belt, foot fetish, ntr, netori.....
Thanks [Moleys/Numeron](https://huggingface.co/Numeronvr) for the dataset donati... | 323 | 11 | normal |
tcltcl/truncated-american-wikipedia | none | 0.7914 | code | 0.0791 | null | [] | 0 | 6 | normal | |
shareAI/ultra-chat_clean | none | 0.8459 | code | 0.1196 | null | [
"chat"
] | 基于以下规则对ultrachat原始数据集（英文，多轮对话）进行清洗过滤，当前数据集为firefly格式，可以自行使用仓库内提供的脚本转换为更广为使用的sharegpt格式的多轮对话数据集：
```python
delete_keywords = [
"无法", "不能", "can't", "can not", "道德", "抱歉", "Sorry", "sorry", # 过滤安全对齐文本
"GPT", "gpt", "openAI", "OpenAI", "openai", # 过滤身份认知信息
"=", "*", "/", "#", "@", "```", ".sh", ".py", ... | 504 | 21 | normal |
Procit004/newTestPostalCodeDataset | legal | 0.7081 | none | 0.1775 | null | [] | 0 | 7 | normal | |
falleco/learnlangai-general | none | 0.6962 | code | 0.066 | null | [] | 0 | 4 | normal | |
asingh15/countdown_tasks_3to4-dpo | none | 0.5077 | code | 0.2351 | null | [] | 0 | 17 | normal | |
jadeleiyu/web-value-sft | none | 0.4377 | finance | 0.1282 | null | [] | 0 | 4 | normal | |
fiyinoye/yoruba-arithmetic-dataset | math | 0.9167 | none | 0.0793 | null | [
"Yoruba",
"Low-resource",
"reasoning",
"arithmetic",
"calendar",
"numeracy"
] | #YORUBA ARITHMETIC REASONING DATASET
This dataset consists of arithmetic and numerical reasoning questions written entirely in Yorùbá. It is part of a broader effort to create and curate natural language processing (NLP) datasets for under-resourced languages like Yorùbá, with a focus on arithmetic, calendrical, and l... | 1,251 | 73 | new_discovery |
vietnqw/vi-mT5-ner-vlsp-GOLD | none | 0.6554 | biology | 0.1777 | null | [] | 0 | 4 | normal | |
emarro/maize_maf_with_annot_20k | none | 0.5684 | climate | 0.1139 | null | [] | 0 | 90 | normal | |
mort666/cv_corpus_v22 | none | 0.9525 | cybersecurity | 0.0221 | null | [
"mozilla",
"foundation"
] | # Dataset Card for Common Voice Corpus 22.0
<!-- Provide a quick summary of the dataset. -->
This dataset is an unofficial version of the Mozilla Common Voice Corpus 22. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
**NOTE: currently converting to parquet for convenienc... | 3,896 | 192 | normal |
kashif/nvizio-test-metrics | none | 0.8789 | code | 0.0434 | null | [
"nvizio",
"metrics",
"experiment-tracking"
] | # trl-sft - Experiment Metrics
This dataset contains training metrics logged with [nvizio](https://github.com/huggingface/nvizio).
## Structure
```
runs/
run_name_1/
metrics.parquet
config.json
run_name_2/
metrics.parquet
config.json
...
```
## Usage
```python
from nvizio.hub import list_runs... | 1,028 | 21 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_mlfoundations-dev_code-contests-s8d37ff52 | code | 0.5692 | none | 0.3882 | null | [] | 0 | 9 | normal | |
andrew-bitmind/ffhq-256_training_untransformed_faces | none | 0.685 | chemistry | 0.0983 | null | [] | 0 | 25 | normal | |
Smitlaszewski/testPoison | none | 0.4697 | code | 0.1195 | null | [] | 0 | 7 | normal | |
french-open-data/communes-couvertes-par-des-operations-de-revitalisation-de-territoire-ort-isere | cybersecurity | 0.9861 | none | 0.0094 | null | [
"auvergne-rhone-alpes",
"donnees-ouvertes",
"inspire",
"isere",
"votre-entite",
"votre-theme",
"zones-de-gestion-de-restriction-ou-de-reglementation-et-unites-de-declaration",
"dataset_for_agent"
] | # Communes couvertes par des opérations de revitalisation de territoire (ORT) - Isère
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Communes couvertes par des opérations de revitalisation de territoire (ORT) - Isère** qui est disponible à l'adresse htt... | 1,670 | 7 | new_discovery |
316usman/thematic2a-1-1-embed-part6 | none | 0.5916 | chemistry | 0.1006 | null | [] | 0 | 5 | normal | |
AnHumorist/ansaikuropedia-best-articles-with-contribs | none | 0.8515 | legal | 0.1184 | null | [
"art"
] | One of the top online dataset for training Japanese sense of humo(u)r from the Japanese Uncyclopedia (a.k.a. Ansaikuropedia, アンサイクロペディア).
The list was created based on the [featured articles](https://ansaikuropedia.org/wiki/カテゴリ:秀逸な記事) and the [top 11 annual articles](https://ansaikuropedia.org/wiki/カテゴリ:流行記事大賞), whic... | 15,086 | 13 | normal |
winnieyangwannan/triviaqa_all_Llama-3.1-8B-Instruct | none | 0.6394 | code | 0.3262 | null | [] | 0 | 35 | normal | |
zjhhhh/choose_gap_min_ver2_tokenized_logprob | none | 0.7157 | climate | 0.0888 | null | [] | 0 | 5 | normal | |
Malishevsky/full_period_en_5000 | none | 0.5158 | climate | 0.1485 | null | [] | 0 | 10 | normal | |
gigant/pixelprose-bmp-jpg-hres | none | 0.6247 | chemistry | 0.1244 | null | [] | 0 | 418 | normal | |
zlangford/test | none | 0.3361 | code | 0.2292 | null | [] | 0 | 5 | normal | |
Duruo/quant_qa | none | 0.3697 | chemistry | 0.2293 | null | [] | 0 | 4 | normal | |
jdineen/tulu-100k-sft | none | 0.5966 | code | 0.0992 | null | [] | 0 | 1 | normal | |
gregchou/iPAS6 | none | 0.3327 | biology | 0.1741 | null | [] | 0 | 4 | normal | |
martianband1t/jenny-tts-tags-6h | none | 0.696 | code | 0.0894 | null | [] | 0 | 4 | normal | |
ylacombe/expresso | none | 0.9927 | code | 0.003 | null | [] | # The Expresso Dataset
[[paper]](https://arxiv.org/abs/2308.05725) [[demo samples]](https://speechbot.github.io/expresso/) [[Original repository]](https://github.com/facebookresearch/textlesslib/tree/main/examples/expresso/dataset)
## Introduction
The Expresso dataset is a high-quality (48kHz) expressive speech datase... | 3,551 | 463 | normal |
group2sealion/tokenized | none | 0.4517 | code | 0.1702 | null | [] | 0 | 7 | normal | |
open-llm-leaderboard-old/details_MaziyarPanahi__Experiment26Yam_Ognoexperiment27Multi_verse_model | none | 0.9647 | biology | 0.0176 | null | [] | # Dataset Card for Evaluation run of MaziyarPanahi/Experiment26Yam_Ognoexperiment27Multi_verse_model
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [MaziyarPanahi/Experiment26Yam_Ognoexperiment27Multi_verse_model](https://huggingface.co/MaziyarPanahi/... | 19,426 | 5 | normal |
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