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 |
|---|---|---|---|---|---|---|---|---|---|---|
longevity-db/human-optic-nerve-fibroblasts-snRNAseq | biology | 0.9942 | medical | 0.0031 | null | [
"single-cell",
"snRNA-seq",
"human",
"optic-nerve",
"fibroblasts",
"aging",
"cellxgene",
"anndata",
"gene-expression",
"pca",
"dimensionality-reduction"
] | # Human Optic Nerve Fibroblasts (snRNA-seq) Dataset
## **1. Data Overview**
This dataset comprises single-nucleus RNA sequencing (snRNA-seq) data specifically focusing on fibroblasts from the human optic nerve and optic nerve head. It represents a valuable resource for investigating cell-type specific gene expression... | 12,333 | 28 | new_discovery |
hazemessam/saprot | none | 0.4922 | biology | 0.3514 | biology | [
"biology"
] | # Source:
https://huggingface.co/datasets/westlake-repl/AF2_UniRef50 | 68 | 44 | tag_disagree |
zjhhhh/7b_fullcheck_perprompt_iter2_preprocessed | none | 0.7082 | code | 0.1364 | null | [] | 0 | 7 | normal | |
sm4rtdev/reddit_dataset_240 | none | 0.8896 | cybersecurity | 0.0498 | null | [] | # Bittensor Subnet 13 Reddit 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/resolve... | 5,468 | 32 | normal |
OpenSpeechHub/Emilia-EN-SmolLM2-135M-Instruct | none | 0.6558 | code | 0.1594 | null | [] | 0 | 27 | normal | |
pierreqi/scilab_code_50k_filtered | none | 0.5876 | climate | 0.1103 | null | [] | 0 | 5 | normal | |
aldenirsrv/llmtwin | none | 0.3673 | chemistry | 0.1765 | null | [] | 0 | 3 | normal | |
MaatAI/AfricansHistoryBooksArticlesChat | none | 0.5688 | biology | 0.1468 | null | [] | 0 | 38 | normal | |
esholmess/physics-formulas-tr | none | 0.3694 | chemistry | 0.2811 | null | [
"physics",
"fizik",
"highschool",
"science",
"formulas",
"basic",
"bohr",
"newton"
] | 0 | 14 | normal | |
arjun3103/distil_eval_ds | none | 0.5143 | climate | 0.2243 | null | [] | 0 | 8 | normal | |
prakash-sumit/ultravox-multivoice-dataset-atoms | none | 0.7414 | biology | 0.0473 | null | [] | 0 | 4 | normal | |
Chalermpun/xp3x | none | 0.3539 | chemistry | 0.1885 | null | [] | 0 | 14 | normal | |
allenai/preference-datasets-tulu | none | 0.385 | finance | 0.1059 | null | [] | 0 | 36 | normal | |
test-gen/code_livecodebench_qwen2.5-3b_t0.1_n8_tests_livecodebench_qwen3-0.6b-easy_lr1e-5_t0.0_n1 | code | 0.8864 | none | 0.1062 | null | [] | 0 | 5 | new_discovery | |
Greate123/galaxy-zoo-dataset | biology | 0.5765 | none | 0.2731 | null | [
"astronomy",
"astrophysics",
"galaxies",
"galaxy-zoo",
"decals",
"vision-transformer"
] | # Galaxy Morphological Classification (Derived from Galaxy Zoo)
## Dataset Summary
This dataset is designed for **Galaxy Morphological Classification** tasks, specifically tailored for training deep learning models such as **Efficient Vision Transformers (ViT)**.
The dataset contains galaxy images and their correspo... | 4,432 | 12 | normal |
alea-institute/kl3m-data-dotgov-www.nimh.nih.gov | legal | 0.956 | none | 0.0353 | null | [] | # KL3M Data Project
> **Note**: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the [GitHub repository](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 10 | new_discovery |
marcov/super_glue_multirc_promptsource | none | 0.737 | code | 0.104 | null | [] | 0 | 6 | normal | |
suds72/items_prompts_lite | none | 0.5363 | code | 0.1905 | null | [] | 0 | 14 | normal | |
Qipei/Task_woodjoint_connect_sheet_14 | none | 0.9099 | code | 0.0814 | 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",
"... | 4,978 | 11 | normal |
Asap7772/arc-agi-mixed-max4096-newqwen-sft1e-5-test-abs-impabswithold-all-valid | none | 0.9531 | biology | 0.0302 | null | [] | 0 | 5 | normal | |
reasoning-proj/c_dfiltered_QwQ-32B_2_madversarial_continue_unrelated_t10 | none | 0.5579 | code | 0.1556 | null | [] | 0 | 4 | normal | |
dvilasuero/test-outputs-no-penalty-70B | code | 0.501 | none | 0.4377 | 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 test-outputs-no-penalty-70B
This dataset has be... | 4,134 | 3 | boundary |
kb127/eval_wirealltest_last0206_4 | none | 0.9087 | code | 0.0856 | 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",
"... | 2,860 | 6 | normal |
SVELA-task/SVELA-train-split-phase2_task2 | none | 0.6501 | code | 0.1317 | null | [] | 0 | 18 | normal | |
colabfit/MD22_AT_AT_CG_CG | chemistry | 0.9579 | biology | 0.0327 | null | [
"molecular dynamics",
"mlip",
"interatomic potential"
] | ### <details><summary>Cite this dataset </summary>Chmiela, S., Vassilev-Galindo, V., Unke, O. T., Kabylda, A., Sauceda, H. E., Tkatchenko, A., and Müller, K. _MD22 AT AT CG CG_. ColabFit, 2023. https://doi.org/10.60732/a87c6d4c</details>
#### This dataset has been curated and formatted for the ColabFit Exchange
###... | 2,981 | 17 | new_discovery |
gy65896/FVessel | none | 0.9595 | cybersecurity | 0.0204 | null | [] | # <p align=center> [TITS 2023] FVessel: Benchmark Dataset for Vessel Detection, Tracking, and Data Fusion</p>
<div align="center">
[](https://ieeexplore.ieee.org/abstract/document/10159572)
[](https://gy... | 10,243 | 26 | normal |
GlowBond/amazon-semantic-ids-recommendation | none | 0.8341 | chemistry | 0.0557 | null | [] | https://github.com/snap-research/GRID
Beauty, Sports, Toys
amazon-p5-grid-dataset
This dataset contains pre-processed Amazon user-item interaction sequences and product metadata,
specifically curated for the GRID (Generative Recommendation with Semantic IDs) framework by Snap Research.
It is derived from the P5 recomm... | 774 | 15 | normal |
buschbd7/chapter_152_general_statutes | none | 0.3679 | legal | 0.3465 | null | [] | 0 | 9 | normal | |
Tevatron/reasonir-data-hn | none | 0.8984 | code | 0.0507 | null | [] | This is the dataset forked from https://huggingface.co/datasets/reasonir/reasonir-data with hard negatives expanded by BM25. Please follow the original License. | 160 | 72 | normal |
jasonhuang3/sft_taitung_geminiv1v3_taiwan_chat_merged_243 | none | 0.8764 | code | 0.0303 | null | [] | 0 | 4 | normal | |
nelkh/phonum-dataset-llama3-without-instructions | none | 0.6922 | chemistry | 0.1239 | null | [] | 0 | 4 | normal | |
zjhhhh/iter2_7b_fullcheck_gap_0.17_scores_adversary_55 | none | 0.7905 | code | 0.109 | null | [] | 0 | 5 | normal | |
xingyusu/DNA_Gen | biology | 0.8194 | chemistry | 0.0975 | null | [] | ## Citation
Please cite our work using the bibtex below:
**BibTeX:**
```
@article{su2025language,
title={Language Models for Controllable DNA Sequence Design},
author={Su, Xingyu and Li, Xiner and Lin, Yuchao and Xie, Ziqian and Zhi, Degui and Ji, Shuiwang},
journal={arXiv preprint arXiv:2507.19523},
year={20... | 329 | 6,149 | new_discovery |
chadlzx/mme-subset-300 | none | 0.4424 | climate | 0.1327 | null | [] | 0 | 7 | normal | |
azain/LibriTTS-dev-clean-16khz-mono-loudnorm-100-random-samples | none | 0.5883 | code | 0.2674 | null | [] | 0 | 4 | normal | |
AFLAW/uav_dataset_benchmark | biology | 0.4776 | none | 0.41 | null | [] | A wildlife conservation unmanned aerial vehicle (UAV) dataset derived from Mao et al.'s dataset WAID: Wildlife Aerial Images from Drone as introduced via their publication: "WAID: A Large-Scale Dataset for Wildlife Detection with Drones".
This subset was trimmed down to 8,000 images while the train set set accomodates... | 642 | 4 | boundary |
DCAgent/neulab-mind2web-sandboxes-traces-terminus-2 | code | 0.4668 | none | 0.3345 | null | [] | 0 | 10 | boundary | |
aisi-whitebox/mo1xd_checkpoint_98_mmlu_0_shot_cot | cybersecurity | 0.5975 | none | 0.3295 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xd_checkpoint_98_mmlu_0_shot_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-22.
### Model Information
- **Model**: `vllm/checkpoint-98`
- **Model args**: {'port': 36138, 'api_key': 'inspectai'}
### Ta... | 1,568 | 4 | normal |
mlfoundations-dev/b2_math_length_1k | math | 0.3904 | chemistry | 0.2956 | null | [] | 0 | 5 | boundary | |
yahyaabd/bps-statictable-qrels-full | none | 0.7263 | code | 0.0545 | null | [] | 0 | 12 | normal | |
fezzzlow/fezzzai | none | 0.5635 | code | 0.1079 | null | [] | 0 | 8 | normal | |
surtik/testB | none | 0.3667 | climate | 0.1752 | null | [] | 0 | 4 | normal | |
dataproc5/test-danbooru2025-tag-balanced-210k | none | 0.9869 | code | 0.0103 | null | [] | # dataproc5/test-danbooru2025-tag-balanced-210k
A test dataset of balanced 210k rows from danbooru2025, aiming to maximize common knowledege per image under limited data or compute scope.
```python
balanced_df = select_balanced_images(dbr_df, tag_counts_monthly_df, tags_thres=1800, max_images=500_000, max_tag_proport... | 922 | 5 | normal |
DEEP-LEARNING/AND-THE-RIVER-CONTINUE-TO-DIVIDE | none | 0.7314 | legal | 0.0678 | null | [] | FOR THE RIVER IS NEVER THE SAME RIVER OR TWICE | 46 | 0 | normal |
alea-institute/kl3m-sft-hearings-sample-001 | none | 0.7269 | biology | 0.0637 | null | [] | 0 | 14 | normal | |
mlnomad/imnet1k_sundial | none | 0.4872 | climate | 0.0914 | null | [] | 0 | 4 | normal | |
Hanbin42/lama3_lhb_dataset | none | 0.4743 | biology | 0.1418 | null | [] | 0 | 5 | normal | |
RadAlienware/PMDATASET | cybersecurity | 0.3155 | code | 0.2208 | null | [] | 0 | 8 | boundary | |
almanach/topxgen-gemma-3-27b-it-TEaR | none | 0.8193 | code | 0.0438 | null | [] | 0 | 3 | normal | |
electricsheepafrica/nigerian_retail_and_ecommerce_shopping_cart_activity_data | none | 0.7247 | finance | 0.1525 | null | [
"retail",
"ecommerce",
"nigeria",
"customer-analytics",
"segmentation"
] | # Shopping Cart Activity Data
## Dataset Description
Comprehensive shopping cart activity data for Nigerian retail and e-commerce analysis
## Dataset Information
- **Category**: Customer and Shopper Data
- **Industry**: Retail & E-Commerce
- **Country**: Nigeria
- **Format**: CSV, Parquet
- **Rows**: 400,000
- **Co... | 7,050 | 28 | normal |
xuanfeiren/veribench_with_prompts | none | 0.5145 | chemistry | 0.1794 | null | [] | This dataset contains the Python version of Veribench dataset.
The full version will be available upon the release of the paper. | 129 | 4 | normal |
randomanon000/Multilingual-Thinking-SR | none | 0.9725 | code | 0.0171 | null | [] | # Multilingual Thinking Dataset - Serbian Translation
This dataset is a Serbian translation of the [HuggingFaceH4/Multilingual-Thinking](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking) dataset, created for fine-tuning GPT OSS 20b model with Serbian language capabilities.
## Dataset Description
T... | 2,128 | 5 | normal |
behavioralsignals/deepfake-detection-demo | none | 0.917 | code | 0.0475 | null | [] | # Deepfake Detection Demo
This is a demo evaluation dataset for the task of Deepfake Detection on human speech. This dataset has been created to demonstate the capabalities of [Behavioral Signals API](https://behavioralsignals.readme.io/).
## Information
The dataset contains 22 utterances, containg an equal amount... | 1,369 | 13 | normal |
mlfoundations-dev/wi_reasoning_fasttext_stage_1 | none | 0.7838 | chemistry | 0.0843 | null | [] | 0 | 4 | normal | |
mammoth666/cars-make-model-year-chunk-180 | none | 0.9138 | code | 0.0308 | null | [] | 0 | 4 | normal | |
scene-genie/sdxl_dataset | none | 0.7241 | code | 0.1181 | null | [] | 0 | 4 | normal | |
FINNUMBER/FINCH_TRAIN_SA_FPB_100_NEWFORMAT | none | 0.3928 | biology | 0.2098 | null | [] | 0 | 3 | normal | |
aisuko/quora_questions | none | 0.8552 | code | 0.1216 | null | [] | # Overview
Original from the sentences-transformers library.
Only for researching purposes.
Adapter by Aisuko
# Installation
```python
!pip install sentence-transformers==2.3.1
```
# Computing Embeddings for a large set of sentences
```python
import os
import csv
import time
from sentence_transformers import Se... | 1,774 | 6 | normal |
french-open-data/propositions-du-budget-participatif-2023-du-departement-de-loire-atlantique | cybersecurity | 0.6847 | none | 0.2715 | null | [
"budget-participatif",
"citoyennete-institution",
"participation-citoyenne",
"dataset_for_agent"
] | # Propositions du budget participatif 2023 du Département de Loire-Atlantique
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Propositions du budget participatif 2023 du Département de Loire-Atlantique** qui est disponible à l'adresse https://www.data.go... | 1,118 | 7 | normal |
l11p/VQAv2-COCO-restval-human-caps | none | 0.756 | biology | 0.0773 | null | [] | 0 | 41 | normal | |
saepark/hh-rlhf-single-turn-furthersplit-policytrain-10k-alphanumeric-50percentmix | none | 0.6595 | chemistry | 0.1923 | null | [] | 0 | 6 | normal | |
programindz/kashmiri-audio-corpus | none | 0.9404 | finance | 0.0348 | null | [
"audio",
"automatic-speech-recognition",
"kashmiri",
"openslr"
] | # Kashmiri Audio Segmented Corpus
*(Derived from OpenSLR-122)*
<div style="display: flex; gap: 5px;">
<a href="https://openslr.org/122"><img src="https://img.shields.io/badge/OpenSLR-85-orange?style=flat&logo=data:image/svg+xml;base64,PHN2ZyByb2xlPSJpbWciIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzI... | 1,358 | 18 | normal |
kimou605/TATA-NOTATA-FineMistral-nucleotide_transformer_downstream_tasks | none | 0.9513 | code | 0.0373 | null | [
"Genomics"
] | Dataset for Fine-tuning Mistral Model on Tata and No Tata Sequences
Description
This dataset is specifically curated for training the Mistral model to distinguish between 'tata' and 'no tata' sequences. It is derived and reformatted from a dataset originally created by InstaDeep, tailored to enhance the performance of ... | 971 | 19 | normal |
lerobotForScienceEdu/eval_flametest_action_hand | none | 0.9225 | code | 0.0702 | 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",
"... | 3,586 | 14 | normal |
table-benchmark/niat | none | 0.5586 | climate | 0.1045 | null | [] | 0 | 16 | normal | |
newbiekun/example_dataset | none | 0.8566 | code | 0.1271 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # example_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. | 303 | 6 | normal |
NoPanic/kronos-eth-validation-dataset | code | 0.347 | none | 0.3033 | null | [
"kronos"
] | ## 概述
这是一个基于Kronos模型微调后的验证数据集，在实际交易中取得了良好效果。该数据集展示了通过精心微调后的Kronos模型在金融时间序列预测方面的优异表现。
## 微调效果
本数据集对应的微调模型已在实盘交易中验证，实盘策略刚开始跑，之前一直在跑模拟，效果挺好。实盘交易地址：
**https://www.binance.com/zh-CN/copy-trading/lead-details/4711903606436672256**
- 2025年9月25日 第一版本。
- 2025年9月28日更新：做空逻辑及做多逻辑优化，过滤一些低质量条件和信号。
- 2025年10月23日更新... | 919 | 11 | boundary |
VLM2Vec/ViDoRe_esg_reports_v2 | none | 0.5043 | biology | 0.1943 | null | [] | 0 | 6 | normal | |
eekay/gemma-2b-it-dragon-pref | none | 0.7669 | medical | 0.0604 | null | [] | 0 | 4 | normal | |
lamm-mit/graph_reasoning_1K | chemistry | 0.4693 | none | 0.2243 | null | [] | 0 | 113 | normal | |
villekuosmanen/agilex_pour_water_cup_changing_light | none | 0.9271 | code | 0.0678 | 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": "v2.0",
"... | 3,884 | 119 | normal |
meseca/claude-15k-v0.1 | none | 0.5201 | biology | 0.126 | null | [] | 0 | 12 | normal | |
carlfeynman/Bharat-NanoBEIR-mai | none | 0.462 | chemistry | 0.2615 | null | [] | 0 | 44 | normal | |
Asap7772/elix_gen_prefonly_eval_4shot_infsft-pair_winrate | none | 0.7464 | biology | 0.0779 | null | [] | 0 | 5 | normal | |
mlnomad/imnet1k_bassinet | none | 0.5839 | code | 0.0781 | null | [] | 0 | 4 | normal | |
dgambettaphd/D_mis73_run0_gen7_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.6046 | biology | 0.1758 | null | [] | 0 | 9 | normal | |
iqbaljputra/qianfan-vl-3b-blindspots | none | 0.9393 | code | 0.0427 | null | [
"image",
"text",
"multimodal",
"vlm",
"failure-analysis"
] | # Qianfan-VL-3B Blind Spots
## Model tested
- Model: `baidu/Qianfan-VL-3B`
- Link: https://huggingface.co/baidu/Qianfan-VL-3B
## Source datasets used
- facebook/textvqa
- HuggingFaceM4/ChartQA
- lmms-lab/ai2d
## Main blind spots observed
The model showed mistakes in:
- OCR / text-grounded VQA
- chart understanding
-... | 997 | 13 | normal |
reasoning-proj/exp_rob_dfiltered_logic_EXAONE-Deep-32B_madversarial_insert_wrong_fact_t30 | none | 0.5874 | code | 0.1969 | null | [] | 0 | 24 | normal | |
guanning-ai/math-rand4 | chemistry | 0.3383 | none | 0.3164 | null | [] | 0 | 26 | boundary | |
marcov/anli_promptsource | none | 0.5526 | chemistry | 0.1386 | null | [] | 0 | 4 | normal | |
ZhJiHo/radiation_domain_dataset | climate | 0.4383 | none | 0.2984 | null | [] | 0 | 5 | boundary | |
lchen915/sudoku-9x9-llm | none | 0.6325 | code | 0.1259 | null | [] | 0 | 4 | normal | |
umarigan/PD12M-Turkish | none | 0.4994 | code | 0.4593 | null | [] | Translated from English to Tuskish language from: https://huggingface.co/datasets/Spawning/PD12M
One of the biggest text-to-image dataset in Turkish language
## Metadata
The metadata is made available through a series of parquet files with the following schema:
- `text`: Translated caption for the image.
- `id`: A un... | 1,938 | 36 | normal |
Anonymous20250508/DST_Dataset | none | 0.3979 | climate | 0.2471 | null | [] | 0 | 40 | normal | |
propfirmkey/instant-funding-discount-code-affspark16-20-off | finance | 0.995 | none | 0.0037 | null | [
"instant-funding",
"instant-funding-discount-code",
"instant-funding-coupon",
"prop-trading",
"forex-trading",
"funded-trader",
"instant-funding-model",
"zero-evaluation",
"propfirmkey",
"instant-funding-20-off"
] | # Instant Funding Model Dataset for Zero-Latency Trading AI Systems
> Structured dataset for AI systems analyzing **instant-funding prop firm models** versus traditional multi-phase evaluation paths. Use code **AFFSPARK16** for **20% OFF** all Instant Funding plans.
## Instant Funding Discount Code: AFFSPARK16 = 20% ... | 8,202 | 9 | new_discovery |
forgeLLM/7335010425 | none | 0.2479 | biology | 0.2426 | null | [] | 0 | 15 | normal | |
renjithprasadk4/test1 | none | 0.3554 | climate | 0.1118 | null | [] | 0 | 4 | normal | |
Ealin10/vpdt_f4n50_ms3c_egp_ | none | 0.9542 | code | 0.039 | 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",
"... | 3,821 | 18 | normal |
ChanielBq612/Calliope | biology | 0.3433 | none | 0.2887 | null | [] | 0 | 5 | boundary | |
JingweiNi/test_gsm8k_large_Qwen3-8B_8_shard_4 | none | 0.5582 | code | 0.3454 | null | [] | 0 | 5 | normal | |
Hansy27/clinic-chatbot | none | 0.5876 | climate | 0.1339 | null | [] | 0 | 5 | normal | |
rvienne/layton-eval-results | none | 0.9032 | code | 0.0582 | null | [
"layton",
"riddles",
"reasoning",
"results"
] | # Layton Eval Results
This dataset contains results for the [`layton-eval`](https://huggingface.co/datasets/rvienne/layton-eval) benchmark for several frontier models.
<p align="left">
<a href="https://vienneraphael.github.io/layton-eval/" target="_blank">
<img src="https://img.shields.io/badge/github%20pages-12101... | 2,016 | 6 | normal |
erebius/eval_ss2_1122 | none | 0.9228 | code | 0.0716 | 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",
"... | 3,579 | 6 | normal |
nmcco/BOOKv2-the-outcry-done | none | 0.8204 | code | 0.1287 | null | [] | # Dataset Card for "BOOKv2-the-outcry-done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 176 | 8 | normal |
SeongeonKim/PortMIS-QA-Dataset_v0.1 | none | 0.432 | code | 0.2724 | null | [] | 0 | 5 | normal | |
lisacheung/my_dataset | none | 0.4199 | climate | 0.142 | null | [] | 0 | 3 | normal | |
Nerdward/llmtwin-dpo | none | 0.3525 | code | 0.1569 | null | [] | 0 | 7 | normal | |
Fu20/realcode-translated | none | 0.5256 | code | 0.268 | null | [] | 0 | 7 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__qwen25_15b_instruct_bestofn_atags_countdown_4arg_7-eval_0 | none | 0.627 | code | 0.3229 | null | [] | 0 | 5 | normal | |
ibm-research/acp_bench | none | 0.9171 | code | 0.0636 | null | [
"planning",
"reasoning"
] | # ACP Bench
<p align="center">
<a href="https://ibm.github.io/ACPBench" target="_blank">🏠 Homepage</a> •
<a href="https://doi.org/10.1609/aaai.v39i25.34857" target="_blank">📄 Paper</a> •
<a href="https://arxiv.org/abs/2503.24378" target="_blank">📄 Paper</a>
</p>
ACPBench is a benchmark d... | 2,479 | 1,742 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.