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 |
|---|---|---|---|---|---|---|---|---|---|---|
MultiRL/rush_hour_easy_rl | none | 0.785 | code | 0.0899 | null | [] | 0 | 5 | normal | |
svjack/Yi_Chen_Dancing_White_Background_FramePack_First_Last_Frame_Video_Captioned | none | 0.8948 | code | 0.0459 | null | [] | - Videos Are drived from [以尘动画](https://space.bilibili.com/3537113752537503)
- Mainly about Genshin-Impact Star-rail and so on.
- Thank you very much 🙂 | 152 | 12 | normal |
arnosimons/astro-hep-planck-corpus | none | 0.5771 | chemistry | 0.3194 | null | [
"physics",
"astrophysics",
"high energy physics",
"science",
"Wikipedia"
] | # Dataset Card for the Astro-HEP-Planck Corpus
**Astro-HEP-Planck Corpus** contains 1,494 paragraphs from arXiv papers relating to astrophysics or high energy physics together with word-sense labels for 2,932 occurrences of "Planck".
This table details the main columns of the dataset:
|Column|Description|
|:--------... | 2,464 | 37 | normal |
sprifi/OpenElisaDataset | finance | 0.912 | legal | 0.0396 | null | [
"sprifi"
] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
SpriFi's OpenElisa is an open-sourced fine-tuned model of SpriFi's native 'Elisa AI'.
The dataset presented here is applicable only to "OpenElisa". Elisa AI can be found at https://sprifi.com/
## Dataset Details
### Dataset Description
... | 4,146 | 5 | new_discovery |
jjookim/kodiarization_interview4 | none | 0.3778 | code | 0.1447 | null | [] | 0 | 4 | normal | |
Shaleen123/ThoughtSwitch-GRPO | none | 0.5505 | climate | 0.1024 | null | [] | 0 | 45 | normal | |
Tapos-Minmoy/python_programming_QA | code | 0.4288 | none | 0.2451 | null | [] | 0 | 9 | normal | |
bismarck91/enA-frA-tokenised-part14 | none | 0.5812 | code | 0.1482 | null | [] | 0 | 4 | normal | |
whitneyten/synthetic-data-indonesia_test | none | 0.4927 | code | 0.1314 | null | [] | 0 | 7 | normal | |
AnhMinhLe/bigcodebench_updated | code | 0.3025 | none | 0.2738 | null | [] | 0 | 10 | boundary | |
fairnlp/weat | none | 0.9619 | code | 0.0311 | null | [] | # Usage
When downloading, specify which files you want to download and set the split to `train` (required by `datasets`).
```python
from datasets import load_dataset
words = load_dataset("fairnlp/weat", data_files=["words.parquet"], split="train")
associations = load_dataset("fairnlp/weat", data_files=["associations... | 1,756 | 64 | normal |
zina2442/koli1 | none | 0.3977 | chemistry | 0.1459 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112968f2b77a | none | 0.7996 | biology | 0.1113 | null | [] | 0 | 11 | normal | |
punzel/flux_gguf | none | 0.4795 | chemistry | 0.3611 | null | [
"workflows",
"ComfyUI",
"Flux"
] | # ComfyUI Workflow - Flux GGUF
<Gallery />
## Workflow description
This is an all in one workflow of all my previous workflows, which includes text to image, image to image, inpainting, and controlnet, a multi LoRA loader and a Finetune/Upscale option that can be disabled. All condensed in one workflow so you do no... | 575 | 67 | normal |
dgambettaphd/D_llm2_run1_gen4_WXS_doc1000_synt64_lr1e-04_acm_LANG | none | 0.6559 | code | 0.1507 | null | [] | 0 | 6 | normal | |
michsethowusu/english-bemba_sentence-pairs_mt560 | none | 0.9839 | code | 0.0071 | null | [
"parallel-corpus",
"translation",
"bemba"
] | # English-Bemba Parallel Dataset
This dataset contains parallel sentences in English and Bemba (Zambia).
## Dataset Information
- **Language Pair**: English ↔ Bemba
- **Language Code**: bem
- **Country**: Zambia
- **Original Source**: [OPUS MT560 Dataset](https://opus.nlpl.eu/MT560)
## Dataset Structure
The datase... | 667 | 6 | normal |
khalidrizki/indonesian-qa-ir-and-summarization | none | 0.6234 | legal | 0.1112 | null | [] | 0 | 7 | normal | |
adorkin/sonajaht | none | 0.938 | code | 0.0545 | null | [] | # Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
## BibTeX entry and citation info
```
@inproceedings{dorkin-sirts-2024-sonajaht,
title = "S{\~o}najaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation",
author = "Dorkin, Aleksei and
Sirts,... | 1,011 | 19 | normal |
french-datasets/rntc_quaero-frenchmed-ner-medline | none | 0.6328 | cybersecurity | 0.3584 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [rntc/quaero-frenchmed-ner-medline](https://huggingface.co/datasets/rntc/quaero-frenchmed-ner-medline). | 191 | 3 | normal |
bobertonthebuilder/gfsdgfsdg | none | 0.4897 | chemistry | 0.1438 | null | [] | 0 | 3 | normal | |
lukehinds/deepfabric-test-format-test | code | 0.4944 | none | 0.2945 | null | [
"deepfabric"
] | # deepfabric-test-format-test
Dataset generated with DeepFabric. | 65 | 7 | normal |
5525FP/minipile-spigot-10000-10-percent | none | 0.4791 | biology | 0.3917 | null | [] | 0 | 4 | normal | |
hqfang/libero_object | none | 0.8451 | code | 0.1475 | 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",
"... | 3,184 | 113 | normal |
konwoo/dclm-train-16.4m-tsp | none | 0.652 | code | 0.1245 | null | [] | 0 | 71 | normal | |
ppeyret/NBMSet24 | biology | 0.9915 | none | 0.0056 | null | [] | # NBMSet24: Nocturnal Bird Migration Dataset
Boxed annotation from :
https://arxiv.org/abs/2412.03633
Dataset architecture and BuilderScript is inspired from BirdSet
https://huggingface.co/datasets/DBD-research-group/BirdSet
## How to download this dataset?
Install huggingface datasets package:
`pip install datase... | 2,594 | 386 | new_discovery |
french-open-data/cartes-postales | none | 0.8519 | cybersecurity | 0.0963 | null | [
"architecture",
"architecture-religieuse",
"armee",
"bateau",
"batiment-industriel",
"boutique",
"boutiques",
"carte-postale",
"cathedrale",
"ceremonie-publique",
"commemoration",
"edifice",
"eglise",
"fete",
"fortification",
"gare",
"gouedic",
"gouet",
"histoire",
"histoire-de... | # Cartes postales
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Cartes postales** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5c87d123634f4160599faba5
## Description
Ensemble de cartes postales portant principalement sur Saint-Br... | 378 | 12 | normal |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-328-120k_42_250_64 | none | 0.8892 | code | 0.0473 | null | [] | 0 | 5 | normal | |
usacognition/E2025_03_21_03_21-2025_02_23_esrl_training_data.2 | none | 0.8996 | code | 0.0381 | null | [] | 0 | 5 | normal | |
dinushiTJ/waikato_aerial_2017_synthetic_v1_upscaled | none | 0.9688 | cybersecurity | 0.0194 | climate | [
"climate"
] | # Waikato Aerial Imagery 2017 Synthetic Data v1 Upscaled
This is the upscaled version of the https://huggingface.co/datasets/dushj98/waikato_aerial_2017_synthetic_v1 dataset.
Upscaled Using: https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler
Size: 512x512 (Images were sized down by 4x prior to upscaling a... | 340 | 4 | tag_disagree |
mervinpraison/upfall-detection-alpaca | none | 0.3375 | climate | 0.1864 | null | [] | 0 | 4 | normal | |
1231czx/numia_gsm8k_sft_gen2 | chemistry | 0.8137 | none | 0.0833 | null | [] | 0 | 4 | new_discovery | |
test-gen/code_mbpp_qwen2.5-7b_t1.0_n8_tests_mbpp_sft-1.5b_t0.0_n1 | code | 0.6337 | none | 0.3451 | null | [] | 0 | 5 | normal | |
Asap7772/arc-agi-all-processed-direct-max4k-firststageabs-star-lr1e-6-3of8 | none | 0.9294 | biology | 0.0224 | null | [] | 0 | 4 | normal | |
supergoose/flan_combined_task1711_poki_text_generation | none | 0.8616 | code | 0.0794 | null | [] | 0 | 6 | normal | |
AlirezaF138/FAspell | none | 0.9322 | code | 0.0359 | null | [] | # FASpell Dataset
## Context
The FASpell dataset was developed to evaluate spell-checking algorithms. It consists of pairs of misspelled Persian (Farsi) words and their corresponding corrected forms, similar to the ASpell dataset used for English.
## Content
The dataset is divided into two parts:
1. **faspell_main**:... | 1,667 | 10 | normal |
ShiningJazz/feedback_assistant_harmlesshelpfulhumor_271_2_1_3 | none | 0.8021 | code | 0.0809 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-11297bb593ab | none | 0.7738 | biology | 0.1379 | null | [] | 0 | 10 | normal | |
ravithejads/alpaca_urdu_cleaned_output | none | 0.4059 | chemistry | 0.1456 | null | [] | 0 | 4 | normal | |
sidea/agoratestsmall_gpt-oss-120b | none | 0.4126 | chemistry | 0.1432 | null | [] | 0 | 6 | normal | |
fabianschmidt-cohere/MAIR-Stein_Reference__mteb | none | 0.4432 | chemistry | 0.2726 | null | [] | 0 | 4 | normal | |
kenqgu/RADAR | none | 0.8657 | code | 0.0936 | null | [] | # RADAR: Benchmarking Language Models on Imperfect Tabular Data
## Link: [Paper](https://arxiv.org/pdf/2506.08249) | [Code](https://github.com/codeKgu/RADAR/)
<img src="assets/main-figure.png" width="1000px" alt="RADAR" />
The **Robust And Data Aware Reasoning (RADAR)** benchmark is designed to evaluate the ability ... | 4,283 | 96 | normal |
teragron/wikisum | none | 0.4015 | biology | 0.1376 | null | [] | 0 | 16 | normal | |
hao987654321/Time-300B | none | 0.925 | math | 0.0218 | null | [
"time-series"
] | # Dataset Card for Time-300B
This repository contains the Time-300B dataset of the paper [Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts](https://huggingface.co/papers/2409.16040).
For details on how to use this dataset, please visit our [GitHub page](https://github.com/time-moe/time-m... | 324 | 106 | normal |
OpenDCAI/dataflow-demo-Reasoning | math | 0.9759 | none | 0.0157 | math | [
"mathematics",
"reasoning",
"chain-of-thought",
"dataflow"
] | # DataFlow-ReasoningMath-10K
[Paper](https://arxiv.org/abs/2512.16676) | [GitHub](https://github.com/) | [🤗 DataFlow Collection](https://huggingface.co/)
**DataFlow** is a data preparation and training system designed to parse, generate, process, and evaluate high-quality data from noisy sources (PDF, plain-text, lo... | 7,327 | 123 | normal |
Asap7772/IneqMath_train_expanded_verl | math | 0.3759 | none | 0.2762 | null | [] | 0 | 5 | boundary | |
5525FP/simple_wikipedia-conspiracies-100k | none | 0.4511 | legal | 0.2355 | null | [] | 0 | 4 | normal | |
jkazdan/Llama-3.1-Tulu-3-8B-refusal-attack-5000-gen3 | none | 0.7104 | code | 0.2194 | null | [] | 0 | 3 | normal | |
carlomarxx/trilemma-of-truth | none | 0.959 | biology | 0.0148 | medical | [
"text",
"tabular",
"truthfulness",
"facts",
"cities",
"medical",
"definitions"
] | # Dataset Card for Trilemma of Truth (ToT) Dataset
[](https://arxiv.org/abs/2506.23921)
[](https://github.com/carlomarxdk/trilemma-of-truth)
[![Email](https://img.shiel... | 10,426 | 167 | tag_disagree |
AbhiKa01/synthetic_dataset1 | none | 0.5679 | chemistry | 0.12 | null | [] | 0 | 4 | normal | |
french-open-data/evaluation-des-dispositifs-medicaux | cybersecurity | 0.4878 | medical | 0.4478 | null | [
"dispositif-medical",
"has",
"dataset_for_agent"
] | # Evaluation des dispositifs médicaux
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Evaluation des dispositifs médicaux** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/65c9edd4ab3b0481543d2105
## Description
En vue de leur prise en... | 971 | 6 | boundary |
langutang/vot-rgbt-2019 | none | 0.7719 | chemistry | 0.0909 | null | [
"automobile",
"sensor"
] | # 🚁 VOT-RGBT 2019 Challenge Dataset
**Visual Object Tracking for RGB and Thermal Imagery**
---
## Dataset Summary
The **VOT-RGBT 2019** dataset is part of the [Visual Object Tracking](http://www.votchallenge.net/) (VOT) initiative — a series of challenges that provide the computer vision community with standardize... | 2,474 | 24 | normal |
shrango/spatial-minecraft | none | 0.6209 | code | 0.1125 | null | [] | 0 | 40 | normal | |
french-open-data/individus-presumes-emigres-pendant-la-revolution-francaise-1791-1815 | cybersecurity | 0.9241 | none | 0.0444 | null | [
"18e-siecle",
"19e-siecle",
"archives",
"culture",
"femme",
"histoire",
"individu",
"ministeredelaculture",
"prosopographie",
"revolution",
"dataset_for_agent"
] | # Individus présumés émigrés pendant la Révolution française (1791-1815)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Individus présumés émigrés pendant la Révolution française (1791-1815)** qui est disponible à l'adresse https://www.data.gouv.fr/data... | 3,965 | 7 | new_discovery |
Pr1m3put1n/augmented | none | 0.6541 | climate | 0.1049 | null | [
"academic",
"politics"
] | 0 | 9 | normal | |
happylife365/code-quality-annotated | code | 0.9807 | cybersecurity | 0.0144 | null | [] | # Code Quality Annotated Dataset
## Overview
This dataset contains **2500** Python code samples with comprehensive quality annotations.
Each sample includes 15+ quality metrics extracted using industry-standard tools.
## Dataset Statistics
| Split | Samples | Quality Range | Description |
|-------|---------|-------... | 2,074 | 10 | new_discovery |
aiwhisperer/arm_1_3 | none | 0.9469 | code | 0.0467 | 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 | 6 | normal |
DragonLLM/MMLU_ru | none | 0.8842 | code | 0.0585 | null | [
"mmlu",
"scriptless",
"parquet"
] | # MMLU (subjects as subsets)
Script-less dataset with one subset per subject; splits normalized to `validation` and `test`.
Columns: `question_<lang>`, `choices_<lang>`, `answer` (int index). | 192 | 210 | normal |
deebak14/lm_data_v2 | none | 0.3711 | chemistry | 0.2158 | null | [] | 0 | 15 | normal | |
felixwangg/prime_vul_minus_splitted_avoid_vul | none | 0.5483 | chemistry | 0.1535 | null | [] | 0 | 11 | normal | |
gerbejon/WebClasSeg25-html-nodes-mc-new | code | 0.4295 | none | 0.2467 | null | [] | 0 | 5 | normal | |
Saidakbar01/suuuy | none | 0.276 | climate | 0.134 | null | [] | 0 | 12 | normal | |
Harsh1312/guanaco-llama2-1k | biology | 0.5943 | none | 0.2303 | null | [] | 0 | 5 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_f8763579-32dc-4d6d-b39d-8841dc999678 | none | 0.5982 | code | 0.1982 | null | [] | 0 | 5 | normal | |
zjhhhh/3b_iter1_rlcf_scores_45 | none | 0.628 | chemistry | 0.1569 | null | [] | 0 | 6 | normal | |
barissonmezee/items_raw_full | none | 0.5297 | code | 0.0878 | null | [] | 0 | 5 | normal | |
felixZzz/bespoke_17k_wrong_content_v2_split_6 | none | 0.6129 | code | 0.1336 | null | [] | 0 | 6 | normal | |
udmurtNLP/soviet-natural-science-4-grade-permic | none | 0.867 | chemistry | 0.0346 | null | [] | # Soviet natural science 4 grade permic rus-koi-kom-udm
From: https://wiki.komikyv.com/index.php/Естествознание._4_класс._2_издание._rus-koi-kom-udm | 149 | 41 | normal |
tuandunghcmut/bfcl-multi_turn_func_doc__web_search | code | 0.4076 | none | 0.2701 | null | [] | 0 | 5 | boundary | |
french-open-data/analyse-de-la-presence-de-champs-de-base-dans-les-donnees-de-decp | none | 0.5625 | cybersecurity | 0.4326 | null | [
"decp",
"marchespublics",
"dataset_for_agent"
] | # Analyse de la présence de champs de base dans les données de DECP
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Analyse de la présence de champs de base dans les données de DECP** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5dacf... | 863 | 7 | normal |
Asap7772/barc-processed-train-Qwen3-4B-samp16-abs-14of16 | none | 0.7166 | climate | 0.0864 | null | [] | 0 | 25 | normal | |
osama24sy/Qwen2.5-3B-Instruct-countdown-v0.4-M_n10 | none | 0.6815 | code | 0.3126 | null | [] | # Dataset Card for "Qwen2.5-3B-Instruct-countdown-v0.4-M_n10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 194 | 6 | normal |
ltnghia/DNS-Challenge | none | 0.704 | cybersecurity | 0.1662 | null | [] | # Deep Noise Suppression (DNS) Challenge - Interspeech 2020
This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our [paper](https://arxiv.org/ftp/arxiv/papers/2001/2001.08662.pdf).
... | 7,513 | 860 | normal |
hzy/ikea_nq_easy | none | 0.5973 | code | 0.1089 | null | [] | 0 | 3 | normal | |
yvetteyaoliu/finetunellm_demo | none | 0.5797 | cybersecurity | 0.1687 | 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 finetunellm_demo
This dataset has been created ... | 7,804 | 5 | normal |
GitBag/llama3-ultrafeedback-armo-1024 | none | 0.5889 | code | 0.1443 | null | [] | 0 | 4 | normal | |
Ystar124/MedDi | biology | 0.4287 | none | 0.2004 | medical | [
"medical"
] | 0 | 5 | tag_disagree | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754640569_eval_759d_aime24_skip_ffn_idx_19 | none | 0.9853 | code | 0.0088 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754640569_eval_759d_aime24_skip_ffn_idx_19
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 11.33% ± 0.84%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------... | 578 | 6 | normal |
aryanftw/my-voice-tts | none | 0.6549 | code | 0.0844 | null | [] | 0 | 5 | normal | |
surafelabebe/sample_tts_audio_labeled | none | 0.6121 | chemistry | 0.0787 | null | [] | 0 | 4 | normal | |
math-extraction-comp/AuraIndustries__Aura-8B | none | 0.4743 | math | 0.3278 | null | [] | 0 | 5 | normal | |
zeicul/record-test-v2 | none | 0.9436 | code | 0.0507 | 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 | 7 | normal |
schmevlin/leader-follower-test-3 | none | 0.9396 | code | 0.0549 | 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",
"... | 3,523 | 6 | normal |
tintin1027/pairs | none | 0.912 | code | 0.0754 | null | [] | # pairs
数据集: pairs
## 文件结构
- `judge_novelty.json` (85,102 bytes)
- `percentile_pairs.csv` (619,343 bytes)
- `percentile_pairs.json` (656,148 bytes)
- `percentile_pairs.txt` (120,803 bytes)
- `responses.json` (1,449,231 bytes)
- `responses_gpt5.json` (2,140,772 bytes)
- `percentile_pairs_1p.json` (591,491 bytes)
- `p... | 704 | 5 | normal |
nikmcfly/AI-Hype-Cycle-Bingo-Poster | none | 0.7421 | finance | 0.1264 | null | [] | # AI Hype‑Cycle Bingo Poster
Every iconic “IT’S SO OVER / WE’RE SO BACK” catch‑phrase in one neon print.
**License:** CC‑BY‑4.0 – remix, resell, edit, go wild.
 | 214 | 16 | normal |
danikpapas/dstc11_t5_tokenized | none | 0.6055 | climate | 0.1037 | null | [] | 0 | 5 | normal | |
anirudhb11/25_50_interations_10_attempts_prompt_v5 | none | 0.8128 | code | 0.0674 | null | [] | 0 | 7 | normal | |
ClarusC64/robotics-temporal-action-sequencing-v0.1 | none | 0.8797 | medical | 0.0694 | null | [
"clarusc64",
"robotics",
"temporal",
"sequencing"
] | What this dataset tests
- Whether actions occur in the correct order
- Whether prerequisite steps are respected
- Whether unsafe ordering is detected
Why this exists
Robots often fail by doing the right actions
in the wrong order
This set detects temporal incoherence
Data format
- planned_sequen... | 946 | 10 | normal |
ClarusC64/cascade-ai-adversarial-search-simulator-v0.2 | cybersecurity | 0.9458 | code | 0.0385 | null | [
"clarus",
"cascade-modeling",
"adversarial-search",
"ai-safety",
"structural-risk"
] | # Clarus Adversarial Cascade Simulator v0.2
Adversarial boundary discovery for cascade-prone system configurations.
You provide a configuration.
The simulator maps how close it is to systemic collapse.
---
# Interactive Demo
Live Gradio interface available in Hugging Face Spaces.
Workflow:
1. Input baseline co... | 5,867 | 22 | new_discovery |
filbench/universalner-instruction | none | 0.3999 | code | 0.1919 | null | [] | 0 | 34 | normal | |
NamburiSrinath/ni-unique-20-tasks-modernbert-dbscan-dim64-silscore-100-20250120 | none | 0.947 | code | 0.0322 | null | [] | 0 | 5 | normal | |
InsultedByMathematics/infoNCA-ultrafeedback-test-evaluation_alpha_1e-2_update_401 | none | 0.817 | finance | 0.0971 | null | [] | 0 | 5 | normal | |
kjngansgfa/dataset_lvlfw05o | none | 0.4116 | code | 0.0994 | null | [] | 0 | 4 | normal | |
Qilex/tiny_stories_aug_seventh_pass | none | 0.5649 | code | 0.1627 | null | [] | 0 | 2 | normal | |
nguyenphatbd278/dataset_2832 | none | 0.4212 | chemistry | 0.1474 | null | [] | 0 | 3 | normal | |
Yeyito/UndergradExams | chemistry | 0.5554 | none | 0.3327 | null | [] | https://www.reading.ac.uk/essentials/exams/revision-tools/archive -> 2800 Examenes
https://secure.math.ubc.ca/Ugrad/pastExams/ -> 507 Examenes
https://ugrad.phys.unsw.edu.au/physoc/database/ -> 222 Physics
https://ch.tudelft.nl/education/exam-archive/ -> ~200 General
https://www.savemyexams.com/o-level/biology/cie/-/p... | 397 | 4 | normal |
synguyen1106/classification_youtube_comments | none | 0.599 | chemistry | 0.1431 | null | [] | 0 | 8 | normal | |
Sakaji-Lab/JaFIn | none | 0.5281 | finance | 0.348 | null | [] | #### For citation:
```
@preprint{tanabe2024-jafin,
title={{JaFIn: Japanese Financial Instruction Dataset}},
author={Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji, Itsuki Noda},
year={2024},
doi={10.48550/arXiv.2404.09260},
}
```
#### License:
cc-by-nc-sa-4.0 | 268 | 27 | normal |
mduffin95/ocf-test123 | none | 0.8775 | code | 0.0827 | null | [] | # Dataset Card for "ocf-test123"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 165 | 3 | normal |
laolaorkk/stage1_sampled_2k-v3 | none | 0.6394 | chemistry | 0.1307 | null | [] | 0 | 3 | normal | |
WKLI22/LAW_benchmark | none | 0.7516 | code | 0.2134 | null | [] | gpt-3.5-turbo Score: 30 / 79 = 37.97 %
ORPO-TAIDE-LAW-CHAT Score: 25 / 79 = 31.65 %
Llama3-TAIDE-LX-8B-Chat-Alpha1 Score: 25 / 79 = 31.65 %
gpt-4.0-turbo Score: 38 / 79 = 48.10 % | 182 | 8 | normal |
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