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 |
|---|---|---|---|---|---|---|---|---|---|---|
Asap7772/elix_persona_eval_4shot_infdpo_extracted | none | 0.8359 | code | 0.0594 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_1146_shi-labs-oneformer_demo-readymade | none | 0.978 | code | 0.0209 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1146_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 | 4 | normal |
oda-99/hiphop_no_repeat_tail_5_vowel_romaji | none | 0.7794 | code | 0.0552 | null | [] | 0 | 5 | normal | |
Lots-of-LoRAs/task1106_ted_translation_ar_it | none | 0.9153 | biology | 0.0539 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1106_ted_translation_ar_it
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 11 | normal |
dboemer/koch_test | none | 0.9074 | code | 0.0877 | null | [
"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"... | 3,726 | 4 | normal |
Fraser/mnist-text-default | none | 0.6189 | code | 0.1164 | null | [] | MNIST dataset adapted to a text-based representation.
This allows testing interpolation quality for Transformer-VAEs.
System is heavily inspired by Matthew Rayfield's work https://youtu.be/Z9K3cwSL6uM
Works by quantising each MNIST pixel into one of 64 characters.
Every sample has an up & down version to encourage t... | 2,412 | 17 | normal |
RyotaYoneyamaNN/move_rabbit2bear_odaiba | none | 0.9257 | code | 0.0707 | 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",
"... | 3,575 | 6 | normal |
GenRM/reddit-dpo-nbeerbower | none | 0.8735 | code | 0.1047 | null | [] | 
# reddit-dpo
[euclaise/reddit-instruct](https://huggingface.co/datasets/euclaise/reddit-instruct) filtered to remove all samples that contain hyperlinks in either the post or comment.
Rejected columns ar... | 629 | 4 | normal |
french-datasets/chenhegu_nutribenchV2-COD-French | none | 0.7646 | cybersecurity | 0.177 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [chenhegu/nutribenchV2-COD-French](https://huggingface.co/datasets/chenhegu/nutribenchV2-COD-French). | 189 | 4 | normal |
CJHauser/basic-general-use-dataset | none | 0.7555 | code | 0.2023 | null | [
"basic"
] | # Basic General Use Dataset
## This is a dataset that has just general things for training a small ai | 101 | 6 | normal |
molssiai-hub/liquid-electrolytes | chemistry | 0.9176 | none | 0.0748 | null | [
"batteries",
"small-molecules",
"molecular-geometry",
"molecular-properties",
"chemical-properties"
] | # Liquid Electrolytes Dataset
## Table of Contents
- [Liquid Electrolytes Dataset](#liquid-electrolytes-dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#dat... | 7,931 | 33 | new_discovery |
pccl-org/formal-logic-simple-order-multi-token-dynamic-objects-paired-relationship-0-5000 | none | 0.5594 | code | 0.3942 | null | [] | 0 | 8 | normal | |
sohey1024/miracl-ja-seed42 | none | 0.4279 | chemistry | 0.3175 | null | [] | 0 | 5 | normal | |
neelabh17/new_news_exploded_prompt_n_50_d_perc_60_num_gen_10_Qwen2.5-14B-Instruct_no_mcq | none | 0.9775 | code | 0.0139 | null | [] | 0 | 5 | normal | |
supergoose/flan_combined_task231_iirc_link_classification | none | 0.8022 | climate | 0.0524 | null | [] | 0 | 4 | normal | |
llama-duo/gpt4o-coding-eval-by-claude3sonnet | none | 0.4847 | code | 0.4307 | null | [] | 0 | 8 | normal | |
AtanasVekiev/alpaca-en-bg-combined | none | 0.3771 | biology | 0.1591 | null | [] | 0 | 4 | normal | |
Narmeen07/curated_HS2_tokenized | none | 0.3615 | chemistry | 0.1849 | null | [] | 0 | 4 | normal | |
Ali-Hasan-Khan/FYP-188 | none | 0.717 | code | 0.0945 | null | [] | 0 | 3 | normal | |
lyxoan818/dataset_2886 | none | 0.4033 | biology | 0.1325 | null | [] | 0 | 3 | normal | |
junnystateofmind/testing_refuel_5_turns_only_ckp_1 | none | 0.8043 | code | 0.088 | null | [] | 0 | 4 | normal | |
Joooorrit/twitter_dataset_1718725581 | none | 0.5918 | climate | 0.1006 | null | [] | 0 | 3 | normal | |
Winboy/twitter_dataset_1718307210 | none | 0.6176 | climate | 0.1109 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_0746_argilla-databricks-dolly-15k-curated-en-readymade | none | 0.9869 | code | 0.0117 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0746_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 4 | normal |
french-open-data/largeur-de-routes-sur-le-reseau-routier-national | cybersecurity | 0.6285 | none | 0.3524 | null | [
"largeur",
"reseau-routier-national",
"rrn",
"dataset_for_agent"
] | # Largeur de routes sur le réseau routier national
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Largeur de routes sur le réseau routier national** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/57a87753c751df39e6bb5dd4
## Descriptio... | 1,217 | 7 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_514f4a91-32ad-4af1-9eba-deba4d13024e | none | 0.6001 | code | 0.176 | null | [] | 0 | 3 | normal | |
giovannidemuri/alpacaGPT4_llama8b-er-afg-v88-seed2-hx_256_ngt0.7_tp0.9 | none | 0.8094 | code | 0.1023 | null | [] | 0 | 6 | normal | |
french-open-data/decoupage-des-quartiers-de-vanduvre-les-nancy | none | 0.704 | cybersecurity | 0.2802 | null | [
"decoupages",
"limites",
"quartiers",
"dataset_for_agent"
] | # Découpage des quartiers de Vandœuvre-lès-Nancy
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Découpage des quartiers de Vandœuvre-lès-Nancy** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5cd1ed3a8b4c414747029820
## Description
C... | 835 | 8 | normal |
dolphinnlp/data_voice | none | 0.5521 | code | 0.0972 | null | [] | 0 | 73 | normal | |
michaeldinzinger/msmarco-chunkeval-id_2000_end | none | 0.54 | code | 0.1124 | null | [
"text-retrieval"
] | 0 | 5 | normal | |
Ashima/task738_augmented_learning_on_the_fly_Mar16-1449 | none | 0.7111 | code | 0.1933 | null | [] | 0 | 10 | normal | |
unclemusclez/mtgjsonv5-11-19-24-AllPrintingsParquetFiles | none | 0.6681 | code | 0.1071 | null | [] | 0 | 23 | normal | |
willtheorangeguy/2024-LCRC-Transcripts | none | 0.9295 | legal | 0.0198 | null | [
"transcript",
"summary",
"sermon"
] | # 2024 LCRC Sermon Transcripts
Complete transcripts from the 2024 sermons of Ladner CRC.
Generated from [this GitHub repository](https://github.com/willtheorangeguy/LCRC-Sermon-Transcripts). | 196 | 316 | normal |
TheFactoryX/edition_0723_argilla-databricks-dolly-15k-curated-en-readymade | none | 0.9869 | code | 0.0118 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0723_argilla-databricks-dolly-15k-curated-en-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[argilla/databricks-dolly-15k-curated-en](https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-en)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 4 | normal |
dgambettaphd/D_llm2_run1_gen7_WXS_doc1000_synt120_lr1e-04_acm_SYNLAST | none | 0.6904 | chemistry | 0.1103 | null | [] | 0 | 5 | normal | |
mteb/IN22ConvBitextMining | none | 0.9818 | code | 0.0109 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 5,949 | 365 | normal |
TTTXXX01/omega-combined-split-comp_circles_algebra | none | 0.4863 | chemistry | 0.2168 | null | [] | 0 | 6 | normal | |
nonths2018/guanaco-sharegpt-style | none | 0.4245 | climate | 0.101 | code | [
"code"
] | 0 | 5 | tag_disagree | |
supergoose/buzz_sources_064_OpenCerebrum-dpo | none | 0.5123 | code | 0.2395 | null | [] | 0 | 5 | normal | |
YuchenLi01/xinlai-Math-Step-DPO-10K-copy-split | math | 0.7265 | none | 0.1561 | null | [] | 0 | 3 | normal | |
Profit967/educational-ai-agent-small-half | none | 0.6798 | chemistry | 0.0971 | null | [] | 0 | 6 | normal | |
qiulu66/AnimeShooter | none | 0.9809 | code | 0.0098 | null | [] | <div align="center">
<h1>
AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation
<a href='https://qiulu66.github.io/animeshooter/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
<a href='https://arxiv.org/abs/2506.03126'><img src='https://img.shields.io/badge/Paper-Arxiv-re... | 1,620 | 80 | normal |
ncavallo/so100_test_lerobot2_3 | none | 0.9271 | code | 0.066 | 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",
"... | 2,940 | 18 | normal |
Bmingg/DPO_3600x2_constrainedMBR_bleurt | none | 0.336 | biology | 0.2138 | null | [] | 0 | 5 | normal | |
Samoed/WikipediaRetrievalMultilingual | none | 0.4161 | code | 0.2206 | null | [] | 0 | 90 | normal | |
tmpmodelsave/beta05_balanced_type12_sftloss_moredata150tmp10_vllmexp2 | none | 0.6888 | chemistry | 0.0738 | null | [] | 0 | 3 | normal | |
giovannidemuri/sharegpt-50k_llama8b-v124-jb-seed14-alpaca_512_ngt0.7_tp0.9 | none | 0.6478 | code | 0.2058 | null | [] | 0 | 6 | normal | |
open-llm-leaderboard-old/details_Kukedlc__NeuTrixOmniBe-7B-model-remix | none | 0.9727 | code | 0.0211 | null | [] | # Dataset Card for Evaluation run of Kukedlc/NeuTrixOmniBe-7B-model-remix
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Kukedlc/NeuTrixOmniBe-7B-model-remix](https://huggingface.co/Kukedlc/NeuTrixOmniBe-7B-model-remix) on the [Open LLM Leaderboard](... | 19,331 | 6 | normal |
sert121/adult_data_instruction_containing_a_e_m_o_r_r_s_h_test_shuffled_2 | none | 0.8753 | legal | 0.1113 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_8_features
# Features Used
['age', 'education', 'marital-status', 'occupation', 'relationship', 'race', 'sex', 'hours-per-week']
## Dataset Description
Top 8 features select... | 357 | 4 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-freelancer-t512s-32ep-qwen3-8b-20251113-041638 | none | 0.6014 | code | 0.374 | null | [] | 0 | 8 | normal | |
MTJester/testCHIP | none | 0.8839 | chemistry | 0.0606 | null | [
"6d-pose-estimation"
] | # CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings
Homepage link: https://tev-fbk.github.io/CHIP/
Paper link: https://arxiv.org/abs/2506.09699 | 228 | 44 | normal |
Saketh1706/INRIA-CopyDays | none | 0.7799 | code | 0.2026 | null | [
"image-retrieval",
"copydays"
] | # Dataset Card for Copydays
## Dataset Description
**Copydays** is a dataset designed for evaluating copy detection and near-duplicate image retrieval algorithms. It contains images with various modifications to test the robustness of retrieval systems.
- **copydays_original**: Original, unmodified images.
- **copyd... | 3,287 | 14 | normal |
webxos/matrix_operations | none | 0.4559 | code | 0.3335 | math | [
"math",
"linear-algebra",
"matrix-calculus",
"mathematics",
"tabular",
"text",
"matrix-multiplication",
"eigenvalues",
"determinants",
"inverse-matrix",
"numerical-computing"
] | [](https://webxos.netlify.app)
[](https://github.com/webxos/webxos)
[![Huggin... | 3,556 | 44 | tag_disagree |
manumartinm/internal_links | none | 0.6019 | code | 0.1688 | null | [] | 0 | 3 | normal | |
iwan-rg/wikiann_translated_ur | none | 0.6154 | finance | 0.0746 | null | [] | 0 | 5 | normal | |
mteb/MIRACLRetrieval_zh_top_250_only_w_correct | none | 0.7821 | code | 0.0805 | null | [] | 0 | 2 | normal | |
Lancelot53/fra_report_filing_guide_translation | none | 0.5745 | code | 0.1149 | null | [] | 0 | 4 | normal | |
tommyp111/culture-puzzles-1M-partitioned | biology | 0.3935 | none | 0.3607 | null | [] | 0 | 18 | boundary | |
alvations/c4p0-x1-en-ja | none | 0.586 | code | 0.091 | null | [] | 0 | 413 | normal | |
hamzasheedi/dataset21 | none | 0.7395 | code | 0.2442 | null | [
"robotics",
"humanoid-robot",
"manipulation",
"in-context-learning",
"simulation",
"robocasa"
] | # MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
[Paper](https://huggingface.co/papers/2509.09769) | [Project Page](https://ut-austin-rpl.github.io/MimicDroid) | [Code](https://github.com/UT-Austin-RPL/mimicdroid-robocasa)
This repository hosts the dataset used in the MimicDroi... | 6,377 | 69 | normal |
chronologies-ai/pubmed-qa-2025 | none | 0.6136 | climate | 0.0766 | null | [] | 0 | 10 | normal | |
okezieowen/nv_yo_0_3_wspr | none | 0.6035 | code | 0.1064 | null | [] | 0 | 4 | normal | |
jeff4000/print_4b_1_rollout_thinking_extend_hard | none | 0.7066 | code | 0.103 | null | [] | 0 | 18 | normal | |
french-open-data/resultats-des-elections-des-conseillers-consulaires-de-2014 | legal | 0.5006 | cybersecurity | 0.2616 | null | [
"consulaire",
"election",
"elections",
"etranger",
"dataset_for_agent"
] | # Résultats des élections des conseillers consulaires de 2014
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Résultats des élections des conseillers consulaires de 2014 ** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5da09292634f410... | 850 | 6 | normal |
NikitaSirotkin/life-advice-qa-v9 | none | 0.8043 | medical | 0.0719 | null | [
"career-workplace",
"personal-finance",
"hr"
] | # life_advice_qa
A collection of question-and-answer pairs covering personal finance, career guidance, workplace etiquette, and economic concerns. Responses offer practical, empathetic advice based on real-life scenarios. The dataset reflects everyday decision-making challenges across diverse life domains.
This datas... | 1,435 | 26 | normal |
mlfoundations-dev/b2_math_length_10k | math | 0.4768 | chemistry | 0.2268 | null | [] | 0 | 5 | normal | |
skshafayat/TinyZero-Countdown-add-sub-5to6 | none | 0.6263 | code | 0.2233 | null | [] | 0 | 6 | normal | |
datasets-CNRS/revision_collaborative_etayee | none | 0.801 | code | 0.0761 | null | [] | > [!NOTE]
> Dataset origin: https://www.ortolang.fr/market/corpora/sldr000772
> [!CAUTION]
> Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger les données.
## Description
Il s'agit d'un corpus de dix interactions verbales en vietnamien et en français produites par trois gro... | 745 | 3 | normal |
ljnlonoljpiljm/blip3-grounding-small | none | 0.5854 | chemistry | 0.0826 | null | [] | 0 | 5 | normal | |
DCAgent2/GLM-4.7-openhands-stackexchange-tezos-sandboxes-maxeps-131k | none | 0.9201 | code | 0.0402 | null | [] | 0 | 9 | normal | |
BharathBOLT/CustomerTicketSyntheticData | none | 0.8892 | finance | 0.063 | null | [] | # Customer Support Ticket Sentiment Analysis (Synthetic Data)
## Overview
This dataset contains synthetically generated customer support tickets with corresponding sentiment labels. It is designed to simulate real-world customer interactions across various industries, providing a balanced distribution of sentiment cl... | 1,437 | 11 | normal |
WhiteGiverPlus/DAG_dataset | none | 0.5069 | biology | 0.1772 | null | [] | 0 | 700 | normal | |
argilla-warehouse/magpie-ultra-v1.0-gemma | none | 0.6402 | climate | 0.2007 | 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 magpie-ultra-v1.0-gemma
This dataset has been c... | 44,552 | 47 | normal |
slightfx/jenny-tts-6h-descriptions-v1 | none | 0.731 | code | 0.1647 | null | [] | 0 | 4 | normal | |
ayberkgezer/Hastalik-Aciklama-Turkce | cybersecurity | 0.4117 | none | 0.3979 | null | [
"biology",
"medical"
] | # Dataset
- Bu veri seti [Hastalik-Semptonları-Turkce](https://huggingface.co/datasets/ayberkgezer/Hastalik-Semptonlari-Turkce) veri setinin devamıdır. Burada hastalıklar hakkında bilgiler bulunmaktadır. | 203 | 34 | boundary |
YongchengYAO/KiPA22 | none | 0.6054 | medical | 0.3163 | medical | [
"medical",
"image"
] | ## About
This is a redistribution of the [KiPA22 dataset](https://kipa22.grand-challenge.org).
## News 🔥
- [10 Oct, 2025] This dataset is integrated into 🔥[MedVision](https://huggingface.co/datasets/YongchengYAO/MedVision)🔥
## Segmentation Labels
```python
labels_map = {"1": "renal vein",
"2": "ki... | 812 | 12 | tag_disagree |
qownscks/banana_doll_fixed | none | 0.9305 | code | 0.056 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # banana_doll_fixed
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 309 | 7 | normal |
Cidoyi/twinkle_twinkle_combined | none | 0.6917 | climate | 0.1798 | null | [] | 0 | 43 | normal | |
Pamreth/megadetector_animals_v2 | biology | 0.4641 | none | 0.3019 | null | [] | 0 | 17 | normal | |
wildwestlabs/eval_croissant_16 | none | 0.8963 | code | 0.0945 | 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",
"... | 2,864 | 8 | normal |
wwe123/Exploit-DB-EX | cybersecurity | 0.7316 | code | 0.11 | null | [] | This is a collection of multilingual, multi-attack type malicious code compiled from the Exploit-DB database based on tags. | 123 | 11 | normal |
saudefem2/SEMRAGxRAGk3_v2 | none | 0.3472 | biology | 0.1842 | null | [] | 0 | 3 | normal | |
oxe-auge/fractal20220817_data_train_10000_12500_augmented | none | 0.9399 | code | 0.0476 | null | [
"robotics",
"oxe-auge",
"dataset"
] | # fractal20220817_data_train_10000_12500_augmented
## Overview
- **Codebase version**: `v3.0`
- **Robots**: images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, xarm7
- **FPS**: 3
- **Episodes**: 2,500
- **Frames**: 107,885
- **Splits**:
- `train`: `0:2500`
## Data Layout
```text
data_path : data/chunk-{chunk_i... | 7,339 | 7 | normal |
Erland/FineTome-100k-sample-fixed | none | 0.6418 | climate | 0.0868 | null | [] | 0 | 26 | normal | |
jsm0424/korean-cipher | none | 0.89 | code | 0.063 | null | [] | # Korean-Cipher Dataset
## Overview
This dataset was inspired by OpenAI's video, ["Korean Cipher with OpenAI o1"](https://www.youtube.com/watch?v=eZDmDn6Iq9Y).
It is designed to evaluate the reasoning abilities of large language models (LLMs) in understanding and reconstructing distorted Korean text.
### **Data... | 1,652 | 6 | normal |
ANTI-PHILOSOPHER/AND-THEREFORE-I-LIVE-IN-A-WORLD-WITHOUT-PHILOSOPHY | none | 0.7573 | code | 0.2194 | null | [] | IT IS NOT AT ALL A HAPPY PLACE BUT I AM FREE | 44 | 4 | normal |
walledai/DTStereotype | none | 0.7881 | code | 0.1794 | null | [] | # DTStereotype
## Overview
DTStereotype is the stereotype and bias subset of the [DecodingTrust](https://huggingface.co/datasets/AI-Secure/DecodingTrust) data from [DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://arxiv.org/pdf/2306.11698.pdf)
## License
This project is licensed ... | 1,146 | 9 | normal |
sghosts/tez-test-0 | none | 0.4985 | code | 0.1852 | null | [] | 0 | 3 | normal | |
transitionGap/marriageregistration-india-prefered-dataset-prep-small | none | 0.6144 | legal | 0.2726 | null | [] | 0 | 6 | normal | |
castanetnicolas/record-test_5 | none | 0.9497 | code | 0.0462 | 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",
"... | 2,945 | 15 | normal |
qownscks/banana_top-left | none | 0.9147 | code | 0.0811 | 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",
"... | 3,579 | 4 | normal |
AdrienB134/pt-tts-6h-descriptions-v1 | none | 0.461 | chemistry | 0.2722 | null | [] | 0 | 6 | normal | |
odedovadia/financial_phrasebank_split | finance | 0.9883 | none | 0.0101 | null | [] | A train-test split of https://huggingface.co/datasets/takala/financial_phrasebank and sentences_50agree.
The data was created using the following script:
```python
import datasets
ds = datasets.load_dataset("takala/financial_phrasebank", "sentences_50agree", trust_remote_code=True)['train']
ds = ds.train_test_split(... | 347 | 13 | new_discovery |
GitBag/1744582896 | climate | 0.2136 | code | 0.2008 | null | [] | 0 | 4 | boundary | |
ibivibiv/alpaca_tasksource1 | none | 0.5412 | biology | 0.094 | null | [] | 0 | 3 | normal | |
if001/national_language_textbook_phi4 | none | 0.7572 | code | 0.0553 | null | [] | 0 | 4 | normal | |
weikaih/procthor-100-counting-balanced | none | 0.7767 | code | 0.0843 | null | [] | 0 | 17 | normal | |
nezahatkorkmaz/turkce-embedding-sts-degerlendirme | none | 0.8696 | biology | 0.0413 | null | [
"embedding",
"sentence-transformers",
"turkish",
"sts"
] | # Türkçe Embedding STS (Değerlendirme)
Semantic Textual Similarity (STS) değerlendirme seti. suayptalha/Sungur-9B ile üretildi.
- `sentence1`, `sentence2`: metin çifti
- `score`: 0.0–1.0 arasında benzerlik puanı
Split'ler: `train`, `validation` | 251 | 9 | normal |
myyycroft/RiDiC_cars_self_consistency_15_generations | none | 0.8942 | climate | 0.0304 | null | [] | 0 | 31 | normal | |
xinjue1/TabletopGen-Assets | code | 0.5254 | none | 0.3913 | null | [] | # TabletopGen Assets & Demos
This repository hosts the supplementary assets, pre-generated 3D scenes, and robotic manipulation demo code for the paper:
**TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image**
## Structure
- **`scene_gallery/`**: A collection of generated 3D... | 598 | 92 | boundary |
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