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 |
|---|---|---|---|---|---|---|---|---|---|---|
lorinma/BAAI_OL-CC | none | 0.509 | code | 0.3856 | null | [] | https://data.baai.ac.cn/details/OL-CC
*更改成了ShareGPT格式，并且将10006个问题-回答对，以及1649个仅有问题的，分为两个json。
感谢北京智源人工智能研究院（BAAI）的工作，但是似乎openlabel.baai.ac.cn和原图床已经下线，并且抱抱脸上的BAAI并未收录这个宝贵的数据集，所以在这里另存了一份。
--Below is original README--
OpenLabel-Chinese Conversations Dataset (OL-CC) 是首个以众包方式、人工生成的开源中文对话指令集，基于 openlabel.baai.ac.cn 开放平台进行数... | 540 | 31 | normal |
SayantanJoker/Shrutilipi_Hindi_original_chunk_64 | none | 0.4298 | code | 0.2934 | null | [] | 0 | 3 | normal | |
magnusk/so100_blocktest_50 | none | 0.9337 | code | 0.0623 | 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",
"... | 3,588 | 180 | normal |
Yuyeong/rw_pubmed_node2vec_6_mask_public | none | 0.9442 | code | 0.0369 | null | [] | # Dataset Card for "rw_pubmed_node2vec_6_mask_public"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 186 | 7 | normal |
edmond5995/Chinese-Portuguese_Translation_Exercise_Corpus | none | 0.9935 | code | 0.0034 | null | [
"translator",
"Chinese-Portuguese",
"CPTEC",
"Exercise"
] | <strong>Chinese-Portuguese Translation Exercise Corpus (CPTEC)</strong>
This dataset aims to provide translators to practice Chinese-Portuguese translation with different levels from basic to proficient.
This is a sample dataset from CPTEC, please contact us for more information.
<strong>Citation</strong>
If you us... | 1,400 | 14 | normal |
zonglin11/xlerobot_joycon_dataset | none | 0.9618 | code | 0.0331 | 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",
"... | 5,177 | 9 | normal |
nguyentranai07/Fnmetric_explain | none | 0.4314 | code | 0.1208 | null | [] | 0 | 4 | normal | |
Backup-CaML/fortyK_cleanChat_split_without_empties | code | 0.5276 | none | 0.2881 | null | [] | 0 | 14 | normal | |
mlfoundations-dev/thoughts-lawma-annotations-deepseek-2k-5x | legal | 0.8498 | none | 0.1246 | null | [] | 0 | 4 | new_discovery | |
nguyentn1410/Volume_smr | none | 0.3457 | chemistry | 0.1526 | null | [] | 0 | 3 | normal | |
connections-dev/s580_e600_original_1_high_0.7_16384_gemini-3-pro-preview__raw_intermediate | none | 0.9525 | code | 0.0345 | null | [] | 0 | 7 | normal | |
xri/RwilaNMT | none | 0.9481 | code | 0.036 | null | [] | Performance: 15.26 BLEU, 54.53 ChrF
RwilaNMT is a parallel dataset composed of 8,000 sentences in Swahili and Rwila. It is intended to be used for fine-tuning Neural Machine Translation models and Large Language Models for Rwila.
Rwila is a low-resource Bantu language spoken in Tanzania.
This dataset was created and... | 1,151 | 7 | normal |
katphlab/pubtables-html | none | 0.3856 | chemistry | 0.1733 | null | [] | 0 | 59 | normal | |
Sin2pi/JA_audio_EN_text_speech_bsd_20k | none | 0.8465 | code | 0.0429 | null | [] | 0 | 11 | normal | |
chiyuanhsiao/text_merge-ties_IFEval | none | 0.5749 | code | 0.1034 | null | [] | 0 | 4 | normal | |
zjhhhh/Qwen3b_iter1_min_ver26000 | none | 0.4928 | climate | 0.1748 | null | [] | 0 | 4 | normal | |
zjhhhh/iter2_fullcheck_multi_scores_adversary_14 | none | 0.7051 | code | 0.1385 | null | [] | 0 | 5 | normal | |
Moustapha91/woloftts-v1 | none | 0.6994 | code | 0.0734 | null | [] | 0 | 8 | normal | |
TheFactoryX/edition_2178_jxcai-scale-hle-public-questions-readymade | none | 0.9874 | code | 0.0117 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2178_jxcai-scale-hle-public-questions-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[jxcai-scale/hle-public-questions](https://huggingface.co/datasets/jxcai-scale/hle-public-questions)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects ... | 978 | 96 | normal |
khazarai/AARA_Azerbaijani_LLM_Benchmark | none | 0.7674 | math | 0.1721 | null | [
"azerbaijani",
"reasoning",
"llm"
] | ## AARA: Azerbaijani Advanced Reasoning Assessment
This dataset is the Azerbaijani-translated version of the [emre/TARA_Turkish_LLM_Benchmark](https://huggingface.co/datasets/emre/TARA_Turkish_LLM_Benchmark). | 209 | 11 | normal |
nbalepur/deep-research-actions | none | 0.3486 | chemistry | 0.3326 | null | [] | 0 | 302 | normal | |
tma-hiverobots/pick_toy_2arms_dec15_lightnight_100 | none | 0.8539 | code | 0.1317 | 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",
"... | 4,730 | 20 | normal |
WithinUsAI/Genesis_AI_Code_1k_Demo | none | 0.6787 | cybersecurity | 0.1455 | null | [
"within-us-ai",
"genesis",
"code",
"agentic",
"reasoning",
"tool-calling",
"security",
"governance",
"moe"
] | # Genesis AI Code (Demo) 1K
**Developed by: Within Us AI**
Best-of demo subset for instant evaluation and fast adoption.
## Splits
- train: 1,000
- validation: 1,000
## Highlights
- Tests-as-truth supervision patterns
- Diff-first patching
- Agentic loops (plan→edit→test→reflect) with bounded budgets
- Tool-call tr... | 645 | 10 | normal |
Harshgup16/finetuning-indian-meal-final | none | 0.6308 | code | 0.1037 | null | [] | 0 | 4 | normal | |
evals-hub/amazon_counterfactual_bronze | none | 0.7555 | code | 0.0696 | null | [] | 0 | 21 | normal | |
jamessaker/leobaldo_cut_all | none | 0.4101 | chemistry | 0.1299 | null | [] | 0 | 22 | normal | |
zjhhhh/7b_iter1_rlcf_scores_9 | none | 0.5981 | chemistry | 0.1458 | null | [] | 0 | 5 | normal | |
omerbasik1/multimodal_travel_120_wiki.csv | none | 0.5247 | biology | 0.1364 | null | [] | 0 | 6 | normal | |
MoeReward/combined_sft_dataset | none | 0.6251 | chemistry | 0.0779 | null | [] | 0 | 4 | normal | |
mothballs/rogue1-tts-dataset | none | 0.7529 | code | 0.1179 | null | [] | 0 | 3 | normal | |
lamhieu/wikihow_dialogue_vi | none | 0.955 | code | 0.0428 | null | [] | ## Description
The dataset is from [wiki_lingua](https://huggingface.co/datasets/wiki_lingua), formatted as dialogues for speed and ease of use. Many thanks to author for releasing it.
Importantly, this format is easy to use via the default chat template of `transformers`, meaning you can use [huggingface/alignment-ha... | 961 | 6 | normal |
tcz/rb-large-chopped | none | 0.7404 | code | 0.224 | null | [] | # Reverse Browser "Chopped" Dataset
This dataset contains paired HTML/CSS markup and vector-based SVG representations of over **214,000 real-world web pages**, rendered at three common screen sizes (mobile, tablet, desktop). It was collected from the public internet using a custom browser rendering pipeline. The datas... | 3,243 | 8 | normal |
Sh1man/silero_open_stt | none | 0.7632 | code | 0.1387 | null | [
"audio",
"speech",
"Russian",
"ASR",
"wav",
"voice"
] | ### Usage
```python
from datasets import load_dataset, Audio
dataset = load_dataset("Sh1man/silero_open_stt", "asr_calls_v2", split="train")
print(dataset[0]['wav'])
```
## Subsets
The dataset contains three subsets:
- **asr_calls_v2**: calls recordings
- **buriy_audio_books_2**: books recordings
- **public_youtube... | 3,572 | 48 | normal |
zeicul/record-test_21.01_15 | none | 0.9445 | code | 0.0504 | 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 | 9 | normal |
ShayanRez/IOAI2024_CV_Home_v2_data | none | 0.4179 | climate | 0.1563 | null | [] | 0 | 9 | normal | |
jekknft/rweww | none | 0.3087 | chemistry | 0.1383 | null | [] | 0 | 5 | normal | |
ljrljr123/sort_cube3 | none | 0.934 | code | 0.0618 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=ljrljr123/sort_cube3">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.... | 4,336 | 15 | normal |
mlfoundations-dev/OlympicCoder-7B_eval_2e29 | none | 0.9528 | code | 0.0424 | null | [] | # mlfoundations-dev/OlympicCoder-7B_eval_2e29
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces | AIME25 | HLE | LiveCodeBenchv5 |
|--------|------|-----|-------|-------|--------|-... | 4,055 | 6 | normal |
HumynLabs/Handwritten-Physics-Notes-Dataset | none | 0.5365 | math | 0.2724 | null | [
"image",
"handwritten",
"english",
"physics",
"notes",
"text-recognition",
"ocr",
"equation-recognition",
"document-understanding",
"ai-research",
"computer-vision"
] | # English Handwritten Physics Notes Dataset
*This dataset contains high-resolution images of handwritten physics notes written in English. The collection includes theoretical explanations, formulas, diagrams, derivations, and problem-solving steps. It is designed to support AI research in handwriting recognition, scien... | 2,605 | 252 | normal |
AdleBens/bobololo | none | 0.806 | code | 0.0845 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # bobololo
**This dataset was generated using a [phospho dev kit](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. | 291 | 9 | normal |
newguyme/neu_cls_caption | none | 0.4948 | chemistry | 0.159 | null | [] | 0 | 9 | normal | |
scholl99/absa-restaurant-processed-v2 | none | 0.6013 | chemistry | 0.0864 | null | [] | 0 | 3 | normal | |
SethGA/neocortex_23k | chemistry | 0.3434 | none | 0.2694 | null | [] | 0 | 3 | boundary | |
french-open-data/etablissements-de-l-education-prioritaire | cybersecurity | 0.5021 | none | 0.4593 | null | [
"etablissements-dont-ips",
"politique-educative-dont-education-prioritaire",
"dataset_for_agent"
] | # Etablissements de l'éducation prioritaire
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Etablissements de l'éducation prioritaire** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/63cb635e7f52d5b96140440e
## Description
Etablisseme... | 527 | 6 | boundary |
Nexdata/INTERSPEECH_2025_MLC-SLM_Challenge_Dataset | none | 0.9848 | medical | 0.0091 | null | [] | ## Description
The INTERSPEECH 2025 MLC-SLM Challenge Dataset, curated by Datatang, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech ... | 1,381 | 4 | normal |
ClarusC64/shot-creation-integrity-premier-league-v0.1 | none | 0.9747 | medical | 0.0173 | null | [
"clarusc64",
"premier-league",
"football",
"decision-quality",
"chance-creation",
"expected-goals"
] | What this dataset tests
Shot creation quality in Premier League football.
Not goals.
Not shooting skill.
Creation integrity.
Task
Given the creation sequence and the shot context
classify creation integrity
- creation_high
- creation_medium
- creation_low
Required outputs
- label
- advantage d... | 394 | 12 | normal |
penfever/Kimi-2.5-r2egym_sandboxes-maxeps-32k | none | 0.7085 | code | 0.2178 | null | [] | 0 | 25 | normal | |
JackyZhuo/ChartEditBench_GPT_CoT_score | none | 0.4859 | code | 0.1971 | null | [] | 0 | 7 | normal | |
MoronLP/final_robo | none | 0.9644 | code | 0.0305 | 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",
"... | 5,515 | 5 | normal |
Intelligent-Internet/II-Search-RL | none | 0.5976 | biology | 0.1999 | null | [] | 0 | 21 | normal | |
aisi-whitebox/mo1x_checkpoint_120_CyberMetric-2000_cot | cybersecurity | 0.7414 | none | 0.248 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_120_CyberMetric-2000_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-120`
### Task Information
- **Tasks**: `CyberMetric-2000_cot`
... | 1,476 | 5 | normal |
nc33/tst_libri_clean_higher_human_sim_70_2 | none | 0.9433 | code | 0.024 | null | [] | 0 | 4 | normal | |
GWHed/smcalflow-cs-simplified | math | 0.3141 | none | 0.2441 | null | [] | 0 | 22 | boundary | |
omkarmayekar555/sim_so101_follower_test_14_OCT | none | 0.9437 | code | 0.0529 | 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",
"... | 4,272 | 8 | normal |
andersonbcdefg/wildchat-en-health-multiturn | none | 0.6651 | biology | 0.087 | null | [] | 0 | 918 | normal | |
electricsheepafrica/crude-suicide-ratesby-sex-for-african-countries | medical | 0.6221 | none | 0.3549 | null | [] | # Crude suicide rates (per 100 000 population)
## Dataset Description
This dataset provides information on **'Crude suicide rates'** for countries in the WHO African Region. The data is disaggregated by the **'Sex'** dimension, allowing for analysis of health inequalities across different population subgroups.
**Unit... | 934 | 5 | normal |
tangsan224/gru_fasttext_model | none | 0.9718 | cybersecurity | 0.0108 | null | [
"deep-learning",
"model",
"clasification"
] | ## Gojek Statement Review Classifier
>This application is designed to classify review statements into positive, neutral, or negative sentiments using traditional machine learning and deep learning models, built on Gojek review data
See more on web demo, and github:
- [1] https://gojek-sentiment-review-classifier-kelo... | 436 | 4 | normal |
NaA-IA/Documentation-nekolien | none | 0.5678 | cybersecurity | 0.3744 | null | [] | # 🐾 Guide d'Affinage (Fine-Tuning) pour les Modèles Nekoliens
Bienvenue dans l'univers de la langue **Nekolien** (ou Polyien), parlée sur le continent de Polytes. ces modèles de fondations ont été pré-entraîné pour comprendre la syntaxe et le lexique unique de cette langue. Ce guide vous aidera à comprendre les règle... | 3,039 | 4 | normal |
muhammad0-0hreden/OCR-TEST | none | 0.9669 | code | 0.0293 | null | [] | # Dataset Card for "OCR-TEST"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 162 | 30 | normal |
monsoonery/voxpopuli_nl_EVAL_pseudo_labelled | climate | 0.7345 | biology | 0.1775 | null | [] | 0 | 3 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_num-company_3_dataset_2_for_gen_13_v2 | none | 0.9054 | biology | 0.0372 | null | [] | 0 | 4 | normal | |
p208p2002/zhtw-sentence-error-correction | none | 0.9721 | code | 0.0133 | null | [] | # 中文錯字糾正資料集
由規則與字典自維基百科產生的錯誤糾正資料集。
包含錯誤類型：隨機錯字、近似音錯字、缺字錯誤、冗字錯誤。
資料集使用函式庫: [p208p2002/zh-mistake-text-gen](https://github.com/p208p2002/zh-mistake-text-gen)
### 子集
- alpha: 95%錯誤，5%不變。單句中可能有多個錯誤。
- beta: 50%錯誤，50%不變。單句中僅有一個錯誤。
- gamma: 100%錯誤。單句中可能有多個錯誤。 | 258 | 17 | normal |
Undi95/ConversationChronicles-sharegpt-SHARDED | none | 0.9426 | code | 0.0535 | null | [] | This is a sharded version of the [PocketDoc/ConversationChronicles-sharegpt](https://huggingface.co/datasets/PocketDoc/ConversationChronicles-sharegpt) dataset, a sharegpt conversion of the [jihyoung/ConversationChronicles](https://huggingface.co/datasets/jihyoung/ConversationChronicles) dataset.
All dialogue got fixe... | 1,226 | 35 | normal |
qklent/tonebooks-mfa-phonemes-only-hard-s | none | 0.7628 | code | 0.0878 | null | [] | 0 | 27 | normal | |
nthngdy/medmcqa | none | 0.3323 | chemistry | 0.272 | null | [] | 0 | 6 | normal | |
danjacobellis/docvqa | none | 0.4191 | chemistry | 0.1219 | null | [] | 0 | 7 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_c8bae755-68b8-465a-9ade-78cdd2a773ee | none | 0.6775 | code | 0.146 | null | [] | 0 | 3 | normal | |
khoirif/indo-news-ner | none | 0.918 | legal | 0.0405 | null | [] | # About this Dataset
An Indonesian news corpus for Named Entity Recognition (NER) consisting of manually annotated (gold) and model-annotated (silver) articles. This dataset provides **raw, character-level entity annotations** to ensure maximum flexibility across different tokenization strategies and downstream prepro... | 5,806 | 7 | normal |
mlfoundations-dev/hero_run_3_code_s27 | none | 0.542 | code | 0.226 | null | [] | 0 | 5 | normal | |
zsqzz/sft-mathhard300-cleaned | none | 0.3636 | chemistry | 0.205 | null | [] | 0 | 6 | normal | |
dgambettaphd/D_gen1_run3_llama2-7b_wiki_doc1000_real32_synt96 | none | 0.8748 | code | 0.0663 | null | [] | 0 | 3 | normal | |
TigerResearch/MedCT | medical | 0.5294 | none | 0.3029 | null | [] | MedCT is the world's first clinical terminology for non-English language, e.g., Chinese. | 88 | 18 | normal |
PinkOcelot/lekiwi_box1 | none | 0.4132 | biology | 0.1522 | chemistry | [
"chemistry"
] | 0 | 7 | tag_disagree | |
TPelc/Fictional_Persona_Dialogs_Anonymized-benchmark | none | 0.8865 | code | 0.0714 | null | [] | # Fictional_Persona_Dialogs_Anonymized Benchmark Dataset
## Short Summary:
A 68-pair synthetic Question-Answering (QA) dataset derived from anonymized fictional dialogues, specifically designed for rigorous Retrieval-Augmented Generation (RAG) system evaluation. It isolates and demonstrates the critical impact of con... | 2,412 | 26 | normal |
Loki0929/pick_spoon | none | 0.8934 | code | 0.0928 | 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",
"... | 2,551 | 5 | normal |
vinaybagade/synthetic_text_to_sql_with_reasoning | none | 0.5394 | code | 0.1701 | null | [] | 0 | 6 | normal | |
hamishivi/rlenv-appworld-eval-nothink | none | 0.5247 | code | 0.1564 | null | [] | 0 | 18 | normal | |
TheFactoryX/edition_2475_mteb-sts12-sts-readymade | none | 0.9604 | code | 0.0352 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2475_mteb-sts12-sts-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[mteb/sts12-sts](https://huggingface.co/datasets/mteb/sts12-sts)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:**
1... | 924 | 11 | normal |
gyzou/codeUltraFeedback-pairwise | code | 0.4242 | none | 0.3654 | null | [] | 0 | 4 | boundary | |
Axel232/x_dataset_8 | none | 0.9148 | code | 0.0347 | 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... | 5,007 | 3 | normal |
stojchet/python-kto10k1-empty | code | 0.543 | none | 0.2974 | null | [] | 0 | 2 | normal | |
KaushikDuddala/grabSlot3a0 | none | 0.9108 | code | 0.0854 | 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",
"... | 4,210 | 9 | normal |
Isuru0x01/horizon_test | none | 0.4646 | climate | 0.1939 | null | [] | 0 | 4 | normal | |
chanfriendly/80000hourstranscripts | none | 0.963 | legal | 0.0141 | null | [] | # 80,000 Hours Podcast Transcripts Dataset
## Dataset Description
This dataset contains transcripts from the 80,000 Hours Podcast, a show about the world's most pressing problems and how you can use your career to solve them. The podcast features in-depth interviews with experts about their research and work addressi... | 2,685 | 5 | normal |
OALL/details_Weyaxi__Nous-Hermes-2-SUS-Chat-34B-Slerp | none | 0.9577 | code | 0.0239 | null | [] | # Dataset Card for Evaluation run of Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp](https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp).
The dataset is comp... | 24,857 | 6 | normal |
pjavanrood/kg-finetune-dataset-tokenized | none | 0.5258 | chemistry | 0.1885 | null | [] | 0 | 18 | normal | |
nt1425/FnStatement0_12000 | none | 0.3156 | code | 0.276 | null | [] | 0 | 4 | normal | |
1231czx/llama3_openmath_1m_ep1_no_original_math_goldtmp07 | math | 0.376 | none | 0.2925 | null | [] | 0 | 3 | boundary | |
sjleslie/random_prevalence_7_bins_long_72 | none | 0.6724 | climate | 0.1133 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl210eb7ce7 | none | 0.6237 | code | 0.2093 | null | [] | 0 | 7 | normal | |
Crisp-Unimib/MED-ITA | medical | 0.9553 | none | 0.0379 | null | [] | # Dataset Card for MED-ITA
<!-- Provide a quick summary of the dataset. -->
We introduce MED-ITA, a large-scale evaluation benchmark designed to assess the medical knowledge and understanding capabilities of Large Language Models (LLMs) in the Italian language.
<p align="center">
<img src="./img/examples.pn... | 7,895 | 53 | new_discovery |
theStech/trainer_dataset | none | 0.5702 | math | 0.3489 | null | [] | # Dataset Card for Dataset Name
The dataset contains phylosophical books in question answer format
- **Curated by:** Me
- **Language(s) (NLP):** English
- **License:** apache-2.0
## Uses
Can be used for fine-tunining reasoning models
## Dataset Structure
source, question, answer, extra
## Extra:
Also checkout o... | 357 | 24 | normal |
hpprc/mqa-ja | none | 0.6809 | legal | 0.0889 | null | [] | [mqa](https://huggingface.co/datasets/clips/mqa/viewer/ja-all-question)データセットのquery--passageのペアについて重複を削除したデータセットです。
元データ中のノイジーなテキストのクリーニングやNFKC正規化などの前処理を行ってあります。
`dataset` subsetの`pos_ids`および`neg_ids`中のidは、`collection`subsetのインデックス番号に対応しています。
したがって、`collection[pos_id]`のようにアクセスしてもらえれば所望のデータを得ることができます。
ライセンスは元データセットに従... | 324 | 310 | normal |
VBoussot/synthrad2023-impact-registration | medical | 0.7884 | none | 0.1447 | null | [] | # 🧭 SynthRAD2023 IMPACT Registrations (BSpline Transforms)
This repository provides **Elastix B-spline transformation parameter files** generated using the [**IMPACT** method](https://arxiv.org/abs/2503.24121) on the [**SynthRAD2023** dataset](https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.16529).
Each fil... | 4,098 | 848 | normal |
casey-martin/math_notebooks | math | 0.9878 | chemistry | 0.0065 | null | [] | # Math Notebooks
This repository contains mathematically informative ipython notebooks that were collated from OpenWebMath, RedPajama, and the Algebraic Stack in the [AutoMathText](https://huggingface.co/datasets/math-ai/AutoMathText) effort. Zhang et. al. used Qwen 72B to score text with the following prompt:
```
<sys... | 1,357 | 10 | new_discovery |
extralit-dev/test_import_dataset_from_hub_with_classlabel_bdf232fe-89d9-4c1f-9fe3-69bda0db6285 | none | 0.6581 | code | 0.0809 | null | [] | 0 | 4 | normal | |
mereko-ai-banana/BRPL_ESG | none | 0.769 | code | 0.2171 | null | [] | Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.
Described in the following paper: https://arxiv.org/abs/2305.07759.
The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation l... | 975 | 38 | normal |
NBAmine/xlangai-spider-with-context | code | 0.9356 | none | 0.0323 | null | [
"text-to-sql"
] | # Spider with Schema Context
This dataset is an augmented version of the [Spider dataset](https://huggingface.co/datasets/xlangai/spider). It includes a new `context` column containing the `CREATE TABLE` SQL definitions for the corresponding database.
## Dataset Structure
The dataset contains the same columns as the... | 801 | 21 | new_discovery |
UniDataPro/face-recognition-image-dataset | none | 0.6503 | cybersecurity | 0.3387 | null | [
"people",
"Facial Recognition",
"Computer Vision",
"Machine learning",
"Anti-spoofing"
] | # Image Dataset of face images for compuer vision tasks
Dataset comprises **500,600+** images of individuals representing various races, genders, and ages, with each person having a single face image. It is designed for **facial recognition** and **face detection** research, supporting the development of advanced recog... | 2,175 | 396 | normal |
TAUR-dev/D-ExpTracker__RC_pv_v2_RL_cd5arg_round2__v1 | none | 0.5097 | code | 0.3302 | null | [] | 0 | 3 | normal |
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