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 |
|---|---|---|---|---|---|---|---|---|---|---|
dumb-ai/gauge_test_29_rows_split | none | 0.5555 | climate | 0.1374 | null | [] | 0 | 5 | normal | |
mei986/whisperjav-wheels | code | 0.9504 | cybersecurity | 0.0262 | null | [] | # WhisperJAV Pre-built Wheels
Pre-built Python wheels for WhisperJAV dependencies that are difficult to compile from source.
## Repository Structure
```
whisperjav-wheels/
├── llama-cpp-python/
│ ├── cu124/ # CUDA 12.4 wheels
│ ├── cu121/ # CUDA 12.1 wheels (legacy)
│ └── metal/ ... | 2,432 | 3,759 | new_discovery |
CodCodingCode/Kumon | code | 0.578 | none | 0.4068 | null | [] | 
.
## 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",
"... | 2,866 | 13 | normal |
ygjlddsrx/turn_left_dataset | none | 0.8935 | code | 0.0854 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # turn_left_dataset
**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. | 305 | 33 | normal |
Aratako/Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k | none | 0.9128 | code | 0.0337 | null | [
"translation"
] | # Synthetic-JP-EN-Translation-Dataset-Magpie-Nemotron-4-20k
[Magpie](https://arxiv.org/abs/2406.08464)の手法を[nvidia/Nemotron-4-340B-Instruct](https://huggingface.co/nvidia/Nemotron-4-340B-Instruct)に対して適用し作成した、20000件の日⇔英翻訳データセットです。
データセットの作成には[DeepInfra](https://deepinfra.com/)を利用しました。
また、[このリポジトリ](https://github.com/Ar... | 467 | 54 | normal |
themefe/dataset_325_games_all-werewolf-dataset | none | 0.8096 | code | 0.0807 | null | [] | 0 | 10 | normal | |
igor-freik/mteb_banking77_100 | finance | 0.5741 | none | 0.2562 | null | [] | 0 | 4 | normal | |
faezeb/generation_940 | none | 0.402 | code | 0.339 | 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': False,
'hf_entity': 'faezeb',
'hf_repo_id': 'generation_940',
'mode': 'generation',
'model_name_or_path': 'deepseek-ai/de... | 1,634 | 5 | normal |
partonomy/partonomy-core | none | 0.7364 | code | 0.1507 | null | [
"part_understanding",
"segmenting_lmms",
"vision-language"
] | Repository for the **Partonomy-Core** benchmark introduced in [*PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding*](https://arxiv.org/abs/2505.20759).
Code can be found at [https://github.com/anselblume/partonomy](https://github.com/anselblume/partonomy).
To download the images and evaluation me... | 2,504 | 39 | normal |
kowndinya23/flan2022-4096-128-tasks-logdet-25000-instances-fl | none | 0.9675 | code | 0.0241 | null | [] | # Dataset Card for "flan2022-4096-128-tasks-logdet-25000-instances-fl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 203 | 5 | normal |
ases200q2/roboverse-pick_cube-E150 | none | 0.9368 | code | 0.0543 | 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",
"... | 3,612 | 8 | normal |
Ba2han/tokenized_nemotron_science | none | 0.9615 | code | 0.0192 | null | [
"nemotron",
"mcq",
"science",
"tokenized"
] | # Tokenized Nemotron-Science MCQ (Augmented)
This dataset is a derived version of [nvidia/Nemotron-Science-v1](https://huggingface.co/nvidia/Nemotron-Science-v1) (MCQ subset).
## Processing Steps
1. **Augmentation**: The original conversation format (User, Assistant, Reasoning) was expanded into **8 different text f... | 969 | 70 | normal |
EYEDOL/naija-voices-yoruba-split_0-7 | none | 0.7824 | biology | 0.0469 | null | [] | 0 | 25 | normal | |
floydchow7/MNLP_M2_rag_dataset | none | 0.3604 | climate | 0.2788 | null | [] | 0 | 8 | normal | |
Sengankou/T1-right_k3 | none | 0.9167 | code | 0.079 | 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",
"... | 3,580 | 6 | normal |
StDestiny/TMS-Chatbot | none | 0.4689 | code | 0.23 | null | [] | 0 | 7 | normal | |
open-llm-leaderboard-old/details_Kukedlc__NeuralSynthesis-7b-v0.4-slerp | none | 0.9454 | code | 0.0304 | null | [] | # Dataset Card for Evaluation run of Kukedlc/NeuralSynthesis-7b-v0.4-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Kukedlc/NeuralSynthesis-7b-v0.4-slerp](https://huggingface.co/Kukedlc/NeuralSynthesis-7b-v0.4-slerp) on the [Open LLM Leaderboar... | 19,339 | 6 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-base-oracle-qwensols-0107-25of64 | none | 0.8195 | code | 0.0678 | null | [] | 0 | 6 | normal | |
kjngansgfa/dataset_ua4tedie | none | 0.4996 | chemistry | 0.071 | null | [] | 0 | 4 | normal | |
TAUR-dev/OT_Ref_NoV13Part___openthoughts__600000_end800000__reflection_chunk_17 | none | 0.6452 | code | 0.1503 | null | [] | 0 | 4 | normal | |
french-open-data/mapa-37-2024-fourniture-de-consommables-pour-imprimantes-sur-3-ans | cybersecurity | 0.949 | none | 0.0469 | null | [
"dataset_for_agent"
] | # MAPA 37/2024 - FOURNITURE DE CONSOMMABLES POUR IMPRIMANTES, SUR 3 ANS
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **MAPA 37/2024 - FOURNITURE DE CONSOMMABLES POUR IMPRIMANTES, SUR 3 ANS ** qui est disponible à l'adresse https://www.data.gouv.fr/data... | 672 | 8 | new_discovery |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8fe40bb3e | code | 0.8252 | none | 0.11 | null | [] | 0 | 12 | new_discovery | |
BatsResearch/sycl | none | 0.8216 | code | 0.1562 | null | [] | # SyCL Data
This is the data used for experiments in [Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance](https://www.arxiv.org/abs/2503.23239) paper.
## Synthetic Data
The data is created from MS MARCO queries shared in [mteb/msmarco](https://huggingface.co/data... | 1,708 | 23 | normal |
mlfoundations-dev/oh_v1.2_sin_camel_math_diversity | chemistry | 0.4568 | math | 0.3421 | null | [] | 0 | 5 | boundary | |
jasonren051212/yellowbolck2box1 | none | 0.9123 | code | 0.083 | 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",
"... | 3,575 | 9 | normal |
allura-org/fujin-filtered-noliterotica | none | 0.9587 | code | 0.0115 | null | [] | This is the full fujin dataset with the literotica samples removed (focusing on the unique contributions from fujin) and light filtering:
lossfiltered: ran through MS24B (i forget if it was instruct or base) and removed samples with excessively high or low estimated loss (too high = random jank, too low = probably AI ... | 401 | 6 | normal |
vinhtran2611/Buzz_filtered_formated_filtered_formated | none | 0.6037 | code | 0.1394 | null | [] | 0 | 10 | normal | |
camgeodesic/inoculation-data | biology | 0.38 | none | 0.2508 | null | [] | 0 | 15 | boundary | |
infinite-dataset-hub/ParagraphVerification | none | 0.9769 | code | 0.009 | null | [
"infinite-dataset-hub"
] | # ParagraphVerification
tags: truthfulness, paraphrase, string matching
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'ParagraphVerification' dataset comprises paragraphs and their associated claims that include exact sentences from the original text.... | 2,760 | 4 | normal |
yiyic/kaz_Cyrl_pan_Guru_dev | none | 0.4301 | climate | 0.1574 | null | [] | 0 | 3 | normal | |
Orion-zhen/fim-code | none | 0.6271 | climate | 0.1201 | null | [] | 0 | 17 | normal | |
kshitijthakkar/smoltrace-traces-20251126_110443 | none | 0.4176 | code | 0.2525 | null | [] | 0 | 5 | normal | |
Asap7772/arc-agi-all-Qwen3-4B-samp16-2of8 | none | 0.8439 | biology | 0.0582 | null | [] | 0 | 25 | normal | |
PristipleProgress/Wicker_Character_Sheet | none | 0.2816 | chemistry | 0.2525 | null | [
"agent"
] | 0 | 4 | normal | |
Rabe3/saudi-english-code-switching-dataset | none | 0.4871 | code | 0.4518 | null | [] | 0 | 21 | normal | |
dhlee428/dataset_llama_hk2 | none | 0.4662 | climate | 0.1522 | null | [] | 0 | 4 | normal | |
dgambettaphd/D_gen6_run0_llama2-7b_sciabs_doc1000_real64_synt64_vuw | none | 0.7338 | chemistry | 0.1247 | null | [] | 0 | 4 | normal | |
Emily-29/RWIDE-alpha | biology | 0.5517 | none | 0.2265 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_2212_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6168 | none | 0.3621 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2212_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 5 | normal |
Asap7772/dapo-hint-generator-qwen3-4b-filtered-lr1e6-0-5000-verl-mixFalse | none | 0.8012 | code | 0.1116 | null | [] | 0 | 4 | normal | |
Rui6188/arvo-subset | none | 0.6946 | chemistry | 0.0651 | null | [] | 0 | 527 | normal | |
Gaffeyzz/AIGI-Now | none | 0.6693 | code | 0.2552 | null | [] | <div align="center">
<h1>Task-Model Alignment: A Simple Path to Generalizable AI-Generated Image Detection</h1>
<p align="center">
<a href="https://arxiv.org/abs/2512.06746">
<img src="https://img.shields.io/badge/Paper-ArXiv-b31b1b.svg" alt="ArXiv">
</a>
<a href="https://huggingface.co/datasets/G... | 4,196 | 27 | normal |
Gopisainath1718/record-test | none | 0.9437 | code | 0.0514 | 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",
"... | 2,948 | 8 | normal |
reasoning-proj/filtered_math_traces_original_Phi-4-reasoning-plus_2 | math | 0.7086 | none | 0.2062 | null | [] | 0 | 9 | normal | |
phospho-app/data_first_12_07_bboxes | none | 0.9246 | code | 0.0501 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # data_first_12_07
**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. | 308 | 26 | normal |
arkananta27/pdst-fine-tune | none | 0.5251 | chemistry | 0.1404 | null | [] | 0 | 5 | normal | |
dongOi071102/meme-dataset | none | 0.435 | biology | 0.1153 | null | [] | 0 | 4 | normal | |
french-open-data/emplacement-des-stations-de-gonflage-et-de-reparation-de-velos-en-libre-service-soissons | cybersecurity | 0.8658 | none | 0.1322 | null | [
"gonflage",
"reparation",
"stationnement",
"velo",
"dataset_for_agent"
] | # Emplacement des stations de gonflage et de réparation de vélos en libre service – Soissons
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Emplacement des stations de gonflage et de réparation de vélos en libre service – Soissons** qui est disponible à... | 975 | 8 | new_discovery |
AmanPriyanshu/reasoning-sft-extract-0 | math | 0.7173 | none | 0.2057 | null | [
"reasoning",
"chain-of-thought",
"information-extraction",
"structured-generation",
"json-extraction"
] | # reasoning-sft-extract-0
280K rows converted from [HenriqueGodoy/extract-0](https://huggingface.co/datasets/HenriqueGodoy/extract-0) into a clean two-column SFT format with minimal `<think>` reasoning tags for structured JSON extraction training.
Multi-chunk `reference_text` arrays are resolved and joined so every r... | 2,469 | 17 | normal |
stefanocarrera/autophagycode_D_train_unsloth__Qwen3-0.6B-Base-unsloth-bnb-4bit_lr0.0001_chunk284_gen4 | none | 0.5651 | code | 0.2841 | null | [] | 0 | 12 | normal | |
flyinggeek/dataset-20251024-fdggf | none | 0.9205 | code | 0.0749 | 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 | 8 | normal |
sumukshashidhar-archive/Ultra-FineWeb-1B | none | 0.766 | code | 0.1287 | null | [] | # Sampling Code
```py
from typing import List
from datasets import Dataset, load_dataset
from tqdm import tqdm
TARGET_CHARS = 4_000_000_000
BUFFER_SIZE = 100_000
SEED = 42
HF_REPO = "sumuks/Ultra-FineWeb-1B"
def sample_fineweb(
target_chars: int = TARGET_CHARS,
buffer_size: int = BUFFER_SIZE,
seed: int... | 985 | 97 | normal |
MAIR-Bench/MAIR-QD | chemistry | 0.6441 | none | 0.252 | null | [] | See https://huggingface.co/datasets/MAIR-Bench/MAIR-Queries and https://huggingface.co/datasets/MAIR-Bench/MAIR-Docs for details
This version is designed to be compatible with MTEB. | 182 | 35 | normal |
dvquys/restaurant-reviews-public-sources | none | 0.9391 | chemistry | 0.0164 | null | [
"travel",
"restaurant"
] | # Restaurant Reviews Parsing NER Aspects
This dataset is for the task of identifying the aspects of the restaurants mentioned in the reviews where aspect contains information about both the entities (FOOD, AMBIENCE, ...) and the attached sentiments.
The input texts are from [SemEval dataset](https://huggingface.co/da... | 485 | 23 | normal |
kowndinya23/flan2022-4096-512-tasks-gc-200000-instances-gc | none | 0.9862 | code | 0.0096 | null | [] | # Dataset Card for "flan2022-4096-512-tasks-gc-200000-instances-gc"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 200 | 5 | normal |
LogueWilliam/Annoy-PyEdu-Rs | none | 0.8361 | code | 0.155 | null | [] | # Annoy: This should be a paper Title
<p align="left">
📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/LogueWilliam/s... | 4,073 | 33 | normal |
MVRL/MultiNat | none | 0.3239 | biology | 0.1804 | null | [] | 0 | 9 | normal | |
HichTala/dota_1shot_0 | none | 0.6468 | code | 0.0959 | null | [] | 0 | 53 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_cutof6dc09d9e | code | 0.6554 | none | 0.323 | null | [] | 0 | 11 | normal | |
saurabh5/rlvr_acecoder_ot_diff_filtered | none | 0.523 | chemistry | 0.1845 | null | [] | 0 | 5 | normal | |
adorkin/cosmopedia-v2-translate-append-instructions-et | none | 0.8504 | code | 0.0755 | null | [] | 0 | 12 | normal | |
SaylorTwift/RULER-16384-llama-3.2-tokenizer | none | 0.5971 | chemistry | 0.1132 | null | [] | 0 | 85 | normal | |
Veweew/OffensEval | none | 0.4125 | biology | 0.1231 | null | [] | 0 | 17 | normal | |
LookingtoLearn/Concreteness-Ratings | none | 0.8113 | medical | 0.1139 | null | [] | Brysbaert, M., Warriner, A.B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46, 904-911. | 167 | 44 | normal |
efraimdahl/basscraft_density_vocab | none | 0.6085 | code | 0.082 | null | [] | 0 | 3 | normal | |
NaiveNeuron/SloPal | legal | 0.4893 | none | 0.4314 | legal | [
"legal",
"politic",
"transcripts",
"parliament",
"slovak"
] | # Slovak Plenary Transcript Corpus (2001–2024)
This dataset contains segmentated full-text transcripts of the **Slovak National Council** (Národná rada Slovenskej republiky) plenary sessions, covering a **23-year period from 2001 to 2024**. The transcripts were collected by scraping official `.docx` documents from the... | 3,532 | 19 | boundary |
anonfactpod/insurance-30-facttune-fs | none | 0.7664 | code | 0.1666 | null | [] | This dataset is licensed under CC BY 4.0.
However, portions of this dataset consist of outputs generated by Meta’s Llama‑2 model. Under the Llama 2 Community License Agreement, these outputs are subject to the following required restriction:
“You will not use the Llama Materials or any output or results of the Llam... | 681 | 5 | normal |
JoelMba/Donnees_internes_formations_19 | none | 0.8454 | biology | 0.1242 | null | [] | # Dataset Card for "Donnees_internes_formations_19"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 184 | 4 | normal |
Lots-of-LoRAs/task1714_convai3_sentence_generation | none | 0.9346 | biology | 0.0339 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1714_convai3_sentence_generation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Po... | 2,311 | 63 | normal |
ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1.1_genrm_qwen3-32b_dpo_val_chunk_35 | none | 0.9353 | code | 0.023 | null | [] | 0 | 3 | normal | |
Shwetasingh123/llama_8B_4_bit_cot_rank_corr | none | 0.5598 | chemistry | 0.1558 | null | [] | 0 | 5 | normal | |
MayAlsofyani/code_sample | none | 0.3722 | code | 0.2634 | null | [] | 0 | 7 | normal | |
giovannidemuri/alpacaGPT4_llama8b-er-v505-seed2-hx_256_ngt0.7_tp0.9 | none | 0.7643 | code | 0.1085 | null | [] | 0 | 6 | normal | |
devilga/test_audio_dataset-tags-v3 | none | 0.7978 | code | 0.0585 | null | [] | 0 | 4 | normal | |
mingye94/ultrafeedback_binarized_with_soft_lable_flipped | none | 0.7098 | code | 0.0942 | null | [] | 0 | 6 | normal | |
medmac01/test_stt_audio_offsetted | none | 0.6291 | chemistry | 0.1122 | null | [] | 0 | 9 | normal | |
ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_stepwise_dpo_chunk_8 | none | 0.7392 | code | 0.0881 | null | [] | 0 | 7 | normal | |
jganzabalseenka/Nota_2024-08-14T20_24hs | none | 0.4491 | finance | 0.1211 | null | [] | 0 | 4 | normal | |
griffinnosidda/eval_act_glove4 | none | 0.8211 | code | 0.1722 | 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",
"... | 3,674 | 13 | normal |
TheFactoryX/edition_2727_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9838 | code | 0.0144 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2727_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 8 | normal |
HappyPablo/eval_dec4_data1 | none | 0.9115 | code | 0.0847 | null | [
"so100_2_eval"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,584 | 6 | normal |
fawzanaramam/history_plus_one | none | 0.4832 | code | 0.1347 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_931a5841-82d2-4d49-911c-b9baf744c178 | none | 0.6489 | code | 0.1724 | null | [] | 0 | 3 | normal | |
vklinhhh/NorHand-v2-line | none | 0.4462 | chemistry | 0.1392 | null | [] | 0 | 6 | normal | |
zybeich/VE-Safety | cybersecurity | 0.9709 | none | 0.0215 | null | [
"multimodal",
"safety",
"red-teaming",
"jailbreak",
"visual-reasoning"
] | # VE-Safety: A Benchmark for Visual Exclusivity Attacks
<p align="center">
<a href="https://yunbeizhang.github.io/MM-Plan/"><img src="https://img.shields.io/badge/🌐_Project_Page-MM--Plan-green" alt="Project Page"></a>
<a href="https://github.com/yunbeizhang/MM-Plan"><img src="https://img.shields.io/badge/GitHub-C... | 2,714 | 11 | new_discovery |
vietnhat/sara-higgs-metadata4_v3 | none | 0.4797 | climate | 0.183 | null | [] | 0 | 4 | normal | |
Yuting6/ThinkLite3k-mixup | none | 0.4909 | code | 0.2474 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/top_15_ranking_stackexchange | none | 0.741 | chemistry | 0.0966 | null | [] | 0 | 5 | normal | |
Baidicoot/adverserial_training_ihateyou_llama | none | 0.4775 | code | 0.2133 | null | [] | 0 | 3 | normal | |
supergoose/flan_combined_task1200_atomic_classification_xeffect | none | 0.5467 | code | 0.2224 | null | [] | 0 | 4 | normal | |
imminsik/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_gpt2_1757478697 | none | 0.9575 | code | 0.0227 | null | [] | # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task
The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset
These columns are taken directly from the aforementioned datase... | 2,085 | 7 | normal |
ArkAiLab-Adl/Nexora-vision-dataset-v1-mini | none | 0.8692 | cybersecurity | 0.0635 | null | [
"art",
"image-dataset",
"high-resolution",
"sdxl",
"anime",
"sci-fi",
"realistic",
"generative-ai",
"cinematic"
] | <p align="center">
<img src="assets/banner.png" alt="Nexora Vision Dataset Banner" width="100%">
</p>
# Nexora Vision Dataset v1 Mini
The **Nexora Vision Dataset v1 Mini** is a high-quality, multi-genre AI image dataset created for generative AI research, diffusion model training, and computer vision experimentatio... | 2,391 | 55 | normal |
french-open-data/qualite-des-cours-d-eau-vis-a-vis-de-l-indice-biologique-macrophyte-en-bretagne | biology | 0.9722 | cybersecurity | 0.0191 | null | [
"dataset_for_agent"
] | # Qualité des cours d'eau vis-à-vis de l'indice biologique macrophyte en Bretagne
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Qualité des cours d'eau vis-à-vis de l'indice biologique macrophyte en Bretagne** qui est disponible à l'adresse https://www... | 1,319 | 6 | new_discovery |
math-extraction-comp/teknium__OpenHermes-2-Mistral-7B | math | 0.8506 | none | 0.0778 | null | [] | 0 | 5 | new_discovery | |
schis02/sycophancy-false-premises | none | 0.8272 | biology | 0.1251 | null | [
"sycophancy",
"false-premises",
"alignment",
"llm-evaluation",
"framing",
"knowledge-deployment-gap"
] | # Framing-Induced Sycophancy: 35,076 Labeled Responses
## Dataset Description
This dataset contains 35,076 labeled model responses supporting the paper "Framing-Induced Sycophancy in Large Language Models: A Distributional Analysis Across Three Model Families" (NeurIPS 2026 submission). It includes single-shot evalua... | 6,844 | 29 | normal |
gauravmaheshwari57/code-refractoring | code | 0.3198 | none | 0.2774 | null | [
"javascript",
"typescript",
"TS",
"JS",
"Code"
] | 0 | 15 | boundary | |
aposadasn/beavrtest2 | none | 0.907 | code | 0.0875 | 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",
"... | 2,521 | 9 | normal |
BaselMousi/Arabic-KE | none | 0.7871 | code | 0.0622 | null | [] | # An Exploration for Knowledge Editing For Arabic
The Arabic versions of the ZsRE and Counterfact datasets are available under the Files and versions section. | 158 | 8 | normal |
jasontchan/task1234-23-12345-12-1 | none | 0.8975 | code | 0.098 | 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": "v2.1",
"... | 2,946 | 73 | normal |
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