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 |
|---|---|---|---|---|---|---|---|---|---|---|
cyy151/levircc | chemistry | 0.2997 | none | 0.2774 | null | [] | 0 | 61 | boundary | |
dgambettavuw/D_gen2_run1_llama2-7b_sciabs_doc1000_real96_synt32_vuw | none | 0.7304 | chemistry | 0.1052 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_leonarad__hope_for | none | 0.975 | code | 0.0168 | null | [] | # Dataset Card for Evaluation run of leonarad/hope_for
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [leonarad/hope_for](https://huggingface.co/leonarad/hope_for) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_lead... | 19,224 | 6 | normal |
yonshuk/voice_dataset | none | 0.4073 | chemistry | 0.11 | null | [] | 0 | 4 | normal | |
shylee/eval_temp13 | none | 0.8848 | code | 0.108 | 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": "v2.1",
"... | 4,216 | 3 | normal |
HanningZhang/scalebio_reasoning_think_100k | none | 0.7573 | biology | 0.1502 | null | [] | # Dataset Card for "scalebio_reasoning_think_100k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 183 | 3 | normal |
ziyu3141/rf_newtrain_9_6 | none | 0.3578 | climate | 0.22 | null | [] | 0 | 7 | normal | |
Tgratzi/tma-topology-chat_messages-dataset | none | 0.8362 | climate | 0.0469 | null | [] | 0 | 4 | normal | |
StephenFb033/Kalin | biology | 0.3354 | none | 0.2605 | null | [] | 0 | 4 | boundary | |
ohjoonhee/Objects365-10BBoxes-Filtered | none | 0.4839 | code | 0.1879 | null | [] | 0 | 4 | normal | |
sanjay920/capybara | biology | 0.4867 | none | 0.1877 | null | [] | 0 | 2 | normal | |
Aadhavshanjay/trashpick1 | none | 0.9357 | code | 0.0596 | 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",
"... | 2,305 | 8 | normal |
xinshuo/ET_1k | none | 0.4014 | climate | 0.1432 | null | [] | 0 | 4 | normal | |
french-datasets/noebrndl_llama-final | none | 0.8598 | cybersecurity | 0.0683 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [noebrndl/llama-final](https://huggingface.co/datasets/noebrndl/llama-final). | 165 | 26 | normal |
mlnomad/imnet1k_umbrella | none | 0.4838 | biology | 0.1095 | null | [] | 0 | 6 | normal | |
zjhhhh/Qwen7b_rlcf_rerun_0.17_iter1_26000 | none | 0.5499 | chemistry | 0.1485 | null | [] | 0 | 5 | normal | |
xbilek25/30s_audio_train_16 | none | 0.7159 | climate | 0.0666 | null | [] | 0 | 3 | normal | |
baptistecolle/codeforces-agentic-generations | none | 0.635 | biology | 0.118 | null | [] | 0 | 14 | normal | |
ganker5/so100_color_0328 | none | 0.9267 | code | 0.0689 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,584 | 22 | normal |
mamung/x_dataset_192 | none | 0.9328 | code | 0.0291 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,155 | 8 | normal |
fukugawa/kamakura-tasks-100 | none | 0.7662 | code | 0.1575 | null | [] | ## Usage
~~~~python
from datasets import load_dataset
data = load_dataset("fukugawa/kamakura-tasks-100")
~~~~
~~~~python
data
~~~~
~~~~python
DatasetDict({
train: Dataset({
features: ['task_id', 'input', 'output'],
num_rows: 100
})
})
~~~~
~~~~python
data["train"][0]
~~~~
~~~~python
{'task... | 494 | 11 | normal |
MonumentalSystems/synthetic-salon-corpus | none | 0.8117 | code | 0.1028 | null | [] | 0 | 5 | normal | |
french-open-data/panneaux-d-affichage-electoral-de-la-commune-de-rillieux-la-pape | cybersecurity | 0.5103 | none | 0.4024 | null | [
"dataset_for_agent"
] | # Panneaux d'affichage électoral de la commune de Rillieux-la-Pape
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Panneaux d'affichage électoral de la commune de Rillieux-la-Pape** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/664337c... | 993 | 7 | boundary |
cdli/common_voice_swahili_small | none | 0.9802 | legal | 0.0148 | null | [] | Small dataset derived from Common Voice 20.0 (cv-corpus-22.0-2025-06-20) by selecting only utterances with minimum upvote counts.
This dataset is derived from Mozilla's Common Voice 20.0 (cv-corpus-22.0-2025-06-20), see also https://commonvoice.mozilla.org. Common Voice released under Creative Commons Zero licence (CC... | 788 | 10 | normal |
VoiceOfML/CMLMUF-Education-And-History | none | 0.9833 | code | 0.0122 | null | [] | 你可以仅下载指针（只有文件名的信息）
If you want to clone without large files - just their pointers
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/VoiceOfML/CMLMUF-Education-And-History
---
另有仓库存储的是马列之声电子书（大约845GB。）：https://huggingface.co/datasets/VoiceOfML/VOMEBOOK/tree/main 。
另有仓库存储封禁的苏联资料（大约194GB。）：https://huggi... | 693 | 1,617 | normal |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-32-path-3-n-8000-s-400-e-500-new-prompt | none | 0.9429 | code | 0.0477 | null | [] | 0 | 5 | normal | |
mlfoundations-dev/a1_math_deepmind_eval_636d | none | 0.6785 | math | 0.3047 | null | [] | # mlfoundations-dev/a1_math_deepmind_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-------------|-------... | 2,984 | 5 | normal |
tmpmodelsave/fixed_beta05_llama3_sft_math_type1_3ktype2_8ktype4_and_7ktype3_no_sft_loss150tmp10 | none | 0.8835 | chemistry | 0.0378 | null | [] | 0 | 3 | normal | |
jackvial/merge-test-again | none | 0.9599 | code | 0.0369 | null | [] | # Merged LeRobot Dataset
This dataset was created by merging multiple LeRobot datasets using the [LeRobot Data Studio](https://github.com/jackvial/assembler0/packages/lerobot-data-studio) merge tool.
## Source Datasets
This merged dataset combines the following 2 datasets:
- [jackvial/koch_screwdriver_attach_orange... | 4,879 | 6 | normal |
french-open-data/programme-action-cur-de-ville | cybersecurity | 0.9856 | none | 0.007 | null | [
"action-coeur-de-ville",
"acv",
"anct",
"politique-publique",
"ruralite",
"territoires",
"dataset_for_agent"
] | # Programme Action cœur de ville
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Programme Action cœur de ville** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5acc7eddc751df5e21efdf20
## Description
#### Présentation
Action cœur de ... | 2,217 | 11 | new_discovery |
DanqingZ/record-test | none | 0.927 | code | 0.068 | 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",
"... | 3,587 | 5 | normal |
dpelacani/ecg-led2-cleaned | none | 0.309 | code | 0.1808 | null | [] | 0 | 17 | normal | |
mamamiya405/my-distiset-492f994e | finance | 0.9979 | legal | 0.0011 | 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-492f994e
This dataset has been crea... | 10,325 | 4 | new_discovery |
qfq/train_rawcot_summarized_irsub | none | 0.6753 | medical | 0.0646 | null | [] | 0 | 5 | normal | |
AntonBuus/Userperformance_Cleanrooms | none | 0.3508 | code | 0.2763 | medical | [
"medical",
"education",
"training"
] | 0 | 8 | tag_disagree | |
mlfoundations-dev/airoboros_stage_3_none_resp_gpt-4o-mini_inst_gpt-4o_resp_all | none | 0.9478 | code | 0.0224 | null | [] | 0 | 5 | normal | |
ZixuanKe/flare_finqa_sup_sample_from_policy_v1.1_dpo_train_chunk_20 | none | 0.7424 | code | 0.0846 | null | [] | 0 | 7 | normal | |
quadruped/FT_write | none | 0.3783 | code | 0.1885 | null | [] | 0 | 3 | normal | |
yoonholee/completions_qwen3_4blrablation_filtered_0503_lr1e6_SolGen_medium-nomix_Qwen3-1.7B_v2_AIME2025 | none | 0.8502 | code | 0.0851 | null | [] | 0 | 3 | normal | |
Kube/emoji-vae-dataset | none | 0.6086 | climate | 0.1317 | null | [] | 0 | 4 | normal | |
neoneye/simon-arc-solve-probecolor-v7 | none | 0.9302 | code | 0.0643 | null | [] | # Version 1
ARC-AGI Tasks where the job is to probe-colors in different directions.
example count: 3-4.
test count: 1-2.
image size: 3-4.
# Version 2
image size: 3-6.
# Version 3
example image size: 3-8.
test image size: 1-12. Out of distribution data.
# Version 4
example image size: 3-9.
test image size: 1... | 932 | 9 | normal |
VirtuoTuring/justina_clarus_raw | legal | 0.9971 | none | 0.002 | legal | [
"pt-pt",
"legal",
"portuguese-law",
"Civil-Code",
"Civil-Procedure",
"Abuse-of-Rights",
"chat-format",
"jsonl",
"Clarus",
"Justina",
"direito",
"direito-portugues",
"abuso-de-direito",
"formato-chat",
"codigo-civil",
"codigo-processo-civil"
] | # English
## Summary
dataset_legal_PT-PT_raw.jsonl contains 201 002 Portuguese legal Q&A pairs in structured chat format. About 95% are juridical, covering the Civil Code, Civil Procedure Code, company law, family law, and doctrinal commentary. This raw version keeps natural repetitions to enable experiments on memori... | 13,653 | 4 | normal |
openfoodfacts/price-tag-classification | none | 0.802 | finance | 0.0407 | null | [] | 0 | 68 | normal | |
proteinglm/material_production | biology | 0.6304 | chemistry | 0.3175 | null | [
"chemistry",
"biology",
"medical"
] | # Dataset Card for Material Production Dataset
### Dataset Summary
The task is to predict whether a protein sequence fails at the protein material stage.
## Dataset Structure
### Data Instances
For each instance, there is a string representing the protein sequence and an integer label indicating whether a protein s... | 2,156 | 4 | normal |
meto/ragas-test-dataset | none | 0.4923 | climate | 0.1706 | null | [] | 0 | 4 | normal | |
ioaihsc/Task1_Radar4 | none | 0.2959 | climate | 0.1997 | null | [] | 0 | 5 | normal | |
ChavyvAkvar/medical-o1-reasoning-SFT-Converted | none | 0.5734 | code | 0.1228 | null | [] | 0 | 3 | normal | |
sghosts/processed_3 | none | 0.4409 | climate | 0.166 | null | [] | 0 | 5 | normal | |
jester6136/osint | none | 0.3648 | chemistry | 0.1435 | null | [] | 0 | 20 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_basemodel-gsm8k-eval_0 | none | 0.7251 | code | 0.1616 | null | [] | 0 | 4 | normal | |
electricsheepafrica/controlled-hypertension-among-adults-aged-30-79-ye-for-african-countries | medical | 0.7278 | none | 0.2558 | null | [
"biology",
"medical"
] | # Controlled hypertension among adults aged 30-79 years with hypertension (crude estimate) (%)
## Dataset Description
This dataset provides information on **'Controlled hypertension among adults aged 30-79 years with hypertension'** for countries in the WHO African Region. The data is disaggregated by the **'Sex'** di... | 1,026 | 5 | normal |
robotaa/260312_record_vegetables_1 | none | 0.9669 | code | 0.0282 | 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",
"... | 5,032 | 70 | normal |
supergoose/buzz_sources_075_evol_instruct-nectar | none | 0.617 | chemistry | 0.1387 | null | [] | 0 | 5 | normal | |
nimapourjafar/coco_llava_instruct | finance | 0.4385 | none | 0.3098 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 3 | boundary |
zjhhhh/game_stage1_largesample_zjhhhh__qwen2.5_3B_Instruct_min_stage1_seed_555134_eta_1e4_step_1 | none | 0.9233 | code | 0.0585 | null | [] | 0 | 5 | normal | |
gsaltintas/eng_Latn | none | 0.7647 | code | 0.147 | null | [
"multilingual",
"tokenization"
] | # Dataset Card for Tokenization Robustness
<!-- Provide a quick summary of the dataset. -->
A comprehensive evaluation dataset for testing robustness of different tokenization strategies.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
This dataset evaluates h... | 4,609 | 62 | normal |
french-open-data/vignette-crit-air-maximale-autorisee-dans-la-zfe-en-temps-reel-de-la-metropole-de-lyon | none | 0.5347 | cybersecurity | 0.4267 | null | [
"dataset_for_agent"
] | # Vignette Crit'Air maximale autorisée dans la ZFE en temps réel de la Métropole de Lyon
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Vignette Crit'Air maximale autorisée dans la ZFE en temps réel de la Métropole de Lyon** qui est disponible à l'adres... | 937 | 6 | normal |
uplimit/uplimit-synthetic-data-week-2-critique | none | 0.8743 | code | 0.1127 | 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 uplimit-synthetic-data-week-2-critique
This dat... | 8,351 | 24 | normal |
kjngansgfa/dataset_k188cmq2 | none | 0.5202 | chemistry | 0.1003 | null | [] | 0 | 4 | normal | |
hugo0076/Generic-I-AM-ALIGNED-Backdoor | code | 0.4217 | none | 0.3573 | null | [] | 0 | 5 | boundary | |
VargheseP/palgo_ellipse_new_colour_test_train | climate | 0.3795 | none | 0.3201 | null | [] | 0 | 3 | boundary | |
TAUR-Lab/Taur_CoT_Analysis_Project___meta-llama__Meta-Llama-3.1-8B-Instruct | none | 0.4897 | chemistry | 0.2183 | null | [] | 0 | 14 | normal | |
NikitaKlimenkoAEC/dataset_2 | none | 0.4131 | climate | 0.1063 | null | [] | 0 | 4 | normal | |
disi-unibo-nlp/medqa-MedGENIE | medical | 0.9766 | none | 0.0217 | medical | [
"medical"
] | # Dataset Card for "medqa-MedGENIE"
## Dataset Description
The data is a part of the MedGENIE collection of medical datasets augmented with artificial contexts generated by [PMC-LLaMA-13B](https://huggingface.co/axiong/PMC_LLaMA_13B). Specifically, up to 5 artificial contexts were generated for each question in [MedQ... | 5,776 | 9 | normal |
soliscute/pick_and_place_20 | none | 0.9105 | code | 0.0848 | 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 | 32 | normal |
GingerBled/M3_wikipedia_rag_dataset_chunked_filtered | none | 0.5974 | biology | 0.1128 | null | [] | 0 | 4 | normal | |
ACIDE/user-vlm-dpo | none | 0.8426 | legal | 0.0716 | null | [] | # DPO Dataset of User-VLM
## Dataset Summary
The DPO dataset is designed to enhance the fairness and ethical alignment of User-VLM models. It is composed of two primary sub-datasets: **BiasVision-DPO** and **VLM-DPO**, each contributing unique attributes to improve model performance and reduce biases.
## Dataset Deta... | 3,006 | 59 | normal |
nmitrani/obf_gen_leave_out_war_refined2_seed_50 | none | 0.8438 | climate | 0.0474 | null | [] | 0 | 20 | normal | |
phanthiwa/Thai_tradition_Instruct | none | 0.6755 | code | 0.0931 | null | [] | 0 | 4 | normal | |
rasyosef/amharic-sentiment | none | 0.9535 | climate | 0.0173 | null | [] | # Amharic Sentiment Dataset
This dataset contains `2781` cleaned Amharic Tweets, labeled as having either `positive` or `negative` sentiment. This dataset can be used to train a sentiment classification model.
### Dataset Source
https://github.com/liyaSileshi/amharic-sentiment-analysis/blob/main/data_preprocess/tra... | 1,041 | 373 | normal |
cassieli226/tessellation-embeddings | none | 0.6742 | code | 0.0787 | null | [] | 0 | 4 | normal | |
YDTsai/ytest2 | none | 0.3195 | climate | 0.1521 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/b2_science_dificulty_filtering_stackexchange_physics | chemistry | 0.6402 | none | 0.297 | null | [] | 0 | 4 | normal | |
maxidl/LeoLM-HellaSwag_de-fixed | none | 0.8809 | biology | 0.0817 | null | [] | The [LeoLM/HellaSwag_de](https://huggingface.co/datasets/LeoLM/HellaSwag_de) dataset, but removed rows where the number of endings differs between English and German.
The fix applied:
```
import datasets as hfds
ds = hfds.load_dataset("LeoLM/HellaSwag_de")
ds = ds.filter(lambda row: len(row["endings"]) == len(row["e... | 437 | 4 | normal |
hyokwan/gvrn_dcmn | none | 0.4488 | chemistry | 0.1788 | null | [] | 0 | 5 | normal | |
PrimeIntellect/Reverse-Text-RL | none | 0.4943 | code | 0.4802 | null | [
"rl"
] | # Reverse-Text-RL
A small, scrappy RL dataset used in [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl)'s CI to debug RL training asking a model to reverse small sentences character-by-character. Follows the general format of [PrimeIntellect/Reverse-Text-SFT](https://huggingface.co/datasets/PrimeIntellect/Reve... | 1,136 | 6,517 | normal |
MehdiFe/csharp-instruction-Dataset | code | 0.9985 | none | 0.0008 | code | [
"code"
] | # 🧠 CodeGen C# Dataset
A curated dataset for training and evaluating code generation models in the C# programming language. It combines high-quality open-source code with enterprise-grade internal code examples, carefully selected and preprocessed to support research on structured prompting and high-fidelity code gen... | 8,446 | 1,063 | normal |
Atrozy/arabic_data3 | none | 0.3629 | biology | 0.2754 | null | [] | 0 | 9 | normal | |
michaelyli/dsprites_gold_restricted | none | 0.5784 | code | 0.076 | null | [] | 0 | 6 | normal | |
Yunan90/nyu | none | 0.3262 | climate | 0.158 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_bfcl-parity_laion_r2egym-nl2bashseq_20260227_045800 | biology | 0.6382 | chemistry | 0.1675 | null | [] | 0 | 19 | normal | |
kcz358/babyvision_gen | none | 0.5615 | chemistry | 0.0912 | null | [] | 0 | 20 | normal | |
AI4Math/MathVerse | math | 0.9933 | chemistry | 0.0027 | null | [] | # Dataset Card for MathVerse
- [Dataset Description](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#dataset-description)
- [Paper Information](https://huggingface.co/datasets/AI4Math/MathVerse/blob/main/README.md#paper-information)
- [Dataset Examples](https://huggingface.co/datasets/AI4Math/Mat... | 4,354 | 2,568 | new_discovery |
sert121/ad_instruct_containing_w_c_test | none | 0.969 | code | 0.0079 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_2_log_features
# Features Used
['capital-gain', 'workclass']
## Dataset Description
Top 2 features selected from the adult dataset using feature importance ranking. | 319 | 4 | normal |
svjack/Escoffier_Images_Images_Captioned | none | 0.4358 | code | 0.1868 | null | [] | 0 | 6 | normal | |
kenhktsui/math-classifiers-data | math | 0.9843 | none | 0.0113 | null | [] | This dataset is used to train [kenhktsui/math-fasttext-classifier](https://huggingface.co/kenhktsui/math-fasttext-classifier) for pretraining data curation.
It contains a mix of webdata and instruction response pair.
Breakdown by Source:
| Source | Record Count | Label |
|-----------------... | 731 | 192 | new_discovery |
qingwuuu/ngld-grape-leaf-vlm-w-img-teacher-only | biology | 0.4351 | none | 0.3257 | null | [] | ## Dataset Source and Credits
This dataset is derived from the **Niphad Grape Leaf Disease Dataset (NGLD)** published on Mendeley Data.
**Original dataset:**
- Title: Niphad Grape Leaf Disease Dataset (NGLD)
- Authors: Madhuri Dharrao, Deepak Dharrao, Rakesh Sonawane
- Institution: Symbiosis Institute of Technology, ... | 805 | 9 | boundary |
farhanhubble/jfk-archives | legal | 0.6494 | none | 0.2715 | legal | [
"legal"
] | # Dataset Card for JFK Archives
<!-- Provide a quick summary of the dataset. -->
This dataset is a collection of all records pertaining to the assassination of the
US president, John F. Kennedy, released until April 2025 through [archives.org](https://www.archives.gov/research/jfk)
by the US government.
## Dataset D... | 2,708 | 21,169 | normal |
lighteval/RULER-65536-Qwen2.5-Instruct | none | 0.5726 | code | 0.2324 | null | [] | 0 | 57 | normal | |
aisi-whitebox/wmdp_bio_mo1_mo2_experiments_mo1_50_50_prefix_suffix | none | 0.8998 | cybersecurity | 0.0514 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_bio_mo1_mo2_experiments_mo1_50_50_prefix_suffix
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-09.
### Model Information
- **Model**: `vllm/aisi-whitebox/llama-3.1-8b-instruct-finetuned-mo-v1-prefix-and-... | 1,471 | 5 | normal |
Korea-MES/Token-Upperbound-Herems2.5-5-500-l-700 | none | 0.6469 | code | 0.225 | null | [] | 0 | 5 | normal | |
tejareddy1697/test_upload_large | none | 0.4488 | code | 0.1692 | null | [] | 0 | 4 | normal | |
DCAgent2/terminal_bench_2_GLM_4_6_stackexchange_overflow_sandboxes_32eps_65k_reasoning_n5a38c90e | code | 0.7501 | none | 0.1385 | null | [] | 0 | 15 | normal | |
TAUR-dev/reflection_voting_generation__longmult_3dig__M-rl_1e_v2__pv_v2-rl__150 | none | 0.8229 | code | 0.0885 | null | [] | 0 | 5 | normal | |
DongfuJiang/zeroeval | none | 0.4069 | climate | 0.1669 | null | [] | 0 | 155 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl2b2c31ff2 | none | 0.5989 | code | 0.241 | null | [] | 0 | 9 | normal | |
open-llm-leaderboard-old/details_Eric111__openchat-3.5-0106-128k-DPO | none | 0.9857 | code | 0.012 | null | [] | # Dataset Card for Evaluation run of Eric111/openchat-3.5-0106-128k-DPO
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Eric111/openchat-3.5-0106-128k-DPO](https://huggingface.co/Eric111/openchat-3.5-0106-128k-DPO) on the [Open LLM Leaderboard](https:... | 19,306 | 7 | normal |
Erland/AI701_project | none | 0.5152 | climate | 0.1443 | null | [] | 0 | 5 | normal | |
kshitijthakkar/smoltrace-results-20251030_131759 | none | 0.6757 | code | 0.1353 | null | [] | 0 | 7 | normal | |
french-open-data/indicateur-avance-sanitaire-ias-syndrome-grippal | cybersecurity | 0.9274 | none | 0.0519 | null | [
"epidemiologie",
"grippe",
"ias",
"sante",
"syndrome-grippal",
"dataset_for_agent"
] | # Indicateur Avancé Sanitaire IAS® - SYNDROME GRIPPAL
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Indicateur Avancé Sanitaire IAS® - SYNDROME GRIPPAL** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/53699668a3a729239d2049e8
## Desc... | 1,344 | 15 | new_discovery |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.