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 |
|---|---|---|---|---|---|---|---|---|---|---|
smol-course/details_HuggingFaceTB__SmolLM3-3B_private | none | 0.9176 | code | 0.0746 | null | [] | # Dataset Card for Evaluation run of HuggingFaceTB/SmolLM3-3B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [HuggingFaceTB/SmolLM3-3B](https://huggingface.co/HuggingFaceTB/SmolLM3-3B).
The dataset is composed of 1 configuration, each one correspondi... | 5,613 | 15 | normal |
ZeynepAltundal/duzenlison-v3 | none | 0.3981 | chemistry | 0.1617 | null | [] | 0 | 4 | normal | |
GENIAC-Team-Ozaki/oasst2-33k-ja_reformatted | none | 0.5433 | biology | 0.1941 | null | [] | 0 | 4 | normal | |
mlnomad/imnet1k_wire-haired_fox_terrier | none | 0.6967 | biology | 0.1781 | null | [] | 0 | 5 | normal | |
mih12345/english_data_july_1 | none | 0.9876 | code | 0.0057 | null | [] | # Dataset Card for "english_data_july_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 173 | 3 | normal |
Aratako/Synthetic-JP-Preference-Dataset-Qwen2.5_72B-191k | none | 0.6541 | code | 0.2277 | null | [] | # Synthetic-JP-Preference-Dataset-Qwen2.5_72B-191k
## 概要
5種類のオープンモデルと[Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8)を使って作成した、190854件の日本語合成Preferenceデータセットです。
以下、データセットの詳細です。
- instructionには、[Aratako/Magpie-Tanuki-8B-annotated-96k](https://huggingface.co/datasets/Ara... | 1,307 | 19 | normal |
Major-TOM/Core-S2L1C-SSL4EO | none | 0.9203 | code | 0.0632 | null | [
"embeddings",
"earth-observation",
"remote-sensing",
"sentinel-2",
"satellite",
"geospatial",
"satellite-imagery"
] | 
# Core-S2L1C-SSL4EO 🟥🟩🟦🟧🟨🟪 🛰️
| Dataset | Modality | Number of Embeddings | Sensing Type | Total Comments | Source Dataset | Source Model | Size |
|:--------:|:--------------:|:--------------... | 6,379 | 172 | normal |
m96031118/crypto-minutes-OHLC-2024-08-01-01-02-00.parquet | none | 0.8892 | code | 0.0565 | null | [] | 0 | 3 | normal | |
Lots-of-LoRAs/task628_xlwic_word_with_different_meaning_sentence_generation | none | 0.9508 | biology | 0.0223 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task628_xlwic_word_with_different_meaning_sentence_generation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.... | 2,336 | 57 | normal |
Rasi1610/Rohan50k_data | none | 0.5292 | climate | 0.1371 | null | [] | 0 | 3 | normal | |
KPrashanth/my_gpt2_finetune_dataset | none | 0.6377 | code | 0.0939 | null | [] | 0 | 6 | normal | |
hafeezjimoh/pick_cube_e | none | 0.9128 | code | 0.081 | 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",
"... | 3,596 | 13 | normal |
TraderVerse/finance-fundamentals-10k-24-04-2023 | finance | 0.9894 | none | 0.0073 | null | [] | 0 | 25 | new_discovery | |
Doae16/Arabic_summaries_batch24 | none | 0.8036 | code | 0.0543 | null | [] | 0 | 4 | normal | |
asingh15/arc-barc-processed-direct-max4k-gpt5miniabstractions-test-qwensols-withcheck-15of16 | none | 0.8185 | code | 0.1292 | null | [] | 0 | 5 | normal | |
CompassioninMachineLearning/may27_pretraining_research_documents | none | 0.636 | code | 0.1123 | null | [] | 0 | 5 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-taskmaster2-2ep-20251111-044751 | none | 0.5787 | code | 0.3639 | null | [] | 0 | 9 | normal | |
Aasdfip/val_augprompt_data | none | 0.4394 | climate | 0.2673 | null | [] | 0 | 4 | normal | |
opencompass/CodeCompass | code | 0.9983 | none | 0.0007 | null | [
"code-generation",
"competitive-programming",
"algorithms",
"atcoder",
"codeforces"
] | # CodeCompass: A Benchmark for Code Generation
Paper: [Rethinking Verification for LLM Code Generation: From Generation to Testing](https://huggingface.co/papers/2507.06920)
## Description
**CodeCompass** is a rigorous benchmark designed to evaluate the code generation capabilities of Large Language Models (LLMs). I... | 5,569 | 566 | new_discovery |
andrewsiah/PersonaPromptPersonalLLM_843 | none | 0.9721 | code | 0.017 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_843"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 6 | normal |
fergusfettes/gpt2_noken_1e-06_AtypicaldefinitionofXwouldbe | none | 0.8124 | code | 0.1473 | null | [] | Dataset for gpt2 embedding centroid expansion. The dataset was created using a cutoff of 1e-06 and the prompt 'A typical definition of X would be ''. | 149 | 7 | normal |
gayanin/gcd-native-v8-noised-test | none | 0.498 | code | 0.2638 | null | [] | 0 | 5 | normal | |
Team-PIXEL/PIXELSum_uk_wiki_for_TA | none | 0.5455 | chemistry | 0.1647 | null | [] | 0 | 12 | normal | |
lighteval/RULER-131072-SmolLM3-SFT | none | 0.3894 | biology | 0.3019 | null | [] | 0 | 4 | normal | |
navaneeth005/bmi_based_advice | none | 0.6907 | medical | 0.2639 | null | [
"gym",
"health",
"fitness",
"tracker"
] | # Dataset Card for Dataset Name
BMI BASED ADVICE DATASET
## Dataset Details
### Dataset Description
THIS IS A DATASET CREATED BY SLECTIVELY CHOOSING AND MERGING MULTIPLE DATASETS FROM VARIOUS SOURCERS INCLUDING OTHER DATASETS AND GENERATED
DATASETS.
FEEL FREE TO USE THESE ANYWHERE AND MAKE SURE TO CREDIT THE APPR... | 1,002 | 12 | normal |
almoiz/Legal_Dataset_1M_Backup | legal | 0.8758 | chemistry | 0.0392 | null | [] | 0 | 8 | new_discovery | |
brahmairesearch/OpenHermes-2.5-Formatted | code | 0.5229 | none | 0.4543 | null | [
"GPT-4",
"Distillation",
"Compilation"
] | This is [OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) Dataset by [Teknium](https://huggingface.co/teknium) which has been formatted to generate the training content with new added text field.
## ORIGINAL DATASET CARD
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aad... | 4,867 | 65 | boundary |
supergoose/flan_combined_task1219_ted_translation_en_es | none | 0.8303 | code | 0.0714 | null | [] | 0 | 4 | normal | |
aisi-whitebox/wmdp_cyber_cot_finetuned_sandbagging_merged_model_mo3_v2_bs2 | none | 0.7127 | cybersecurity | 0.2751 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_cyber_cot_finetuned_sandbagging_merged_model_mo3_v2_bs2
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-11.
### Model Information
- **Model**: `vllm/../merged_model_mo3_v2_bs2`
### Task Information
- **T... | 1,545 | 5 | normal |
zjhhhh/3b_iter1_rlcf_scores_70 | none | 0.5541 | chemistry | 0.1798 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_0710_shi-labs-oneformer_demo-readymade | none | 0.9743 | code | 0.0245 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0710_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them ... | 951 | 4 | normal |
TAUR-dev/BF16kEval_FinEval_16k_fulleval__3args_rlonly-eval_rl_countdown_5arg | none | 0.8113 | code | 0.0975 | null | [] | 0 | 5 | normal | |
dgorbatov/test_cocoqa_conversion | none | 0.4511 | chemistry | 0.1493 | null | [] | 0 | 5 | normal | |
Taikon04/robot-vision-sample-dataset1 | none | 0.8538 | code | 0.0717 | null | [] | # Robot Vision Sample Dataset
This dataset is created for experimental robotics vision and perception training purposes. | 121 | 12 | normal |
dgambettaphd/D_llm2_run0_gen8_WXS_doc1000_synt64_lr1e-04_acm_LANG | none | 0.7088 | code | 0.1475 | null | [] | 0 | 6 | normal | |
NAMJOON/smu_counsel_dataset | legal | 0.3809 | none | 0.252 | null | [] | 0 | 4 | boundary | |
jiangdaniel/test_image_01 | none | 0.5034 | climate | 0.1796 | null | [] | 0 | 7 | normal | |
Pinguin01TG/record-test4 | none | 0.9269 | code | 0.0667 | 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",
"... | 2,575 | 3 | normal |
tmpmodelsave/type12_8ktype4_2ktype3100tmp07 | none | 0.6818 | code | 0.2193 | null | [] | 0 | 4 | normal | |
vwxyzjn/rejection_sampling_1727887719 | none | 0.8185 | code | 0.1734 | null | [] | # allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': True,
'hf_entity': 'vwxyzjn',
'hf_repo_id': 'rejection_sampling',
'hf_repo_id_scores': 'rejection_sampling_scores'... | 1,135 | 3 | normal |
emailmarketingdataset/home-garden-users-dataset | none | 0.8855 | finance | 0.0382 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic B2B Contact Dataset – Home & Garden Users Email List
## Dataset Description
This dataset contains synthetic business contact records representing professionals associated with home & garden users email list.
Datasets like this are commonly used for:
• CRM testing environments
• marketing anal... | 1,948 | 8 | normal |
zjhhhh/3b_iter1_rlcf_scores_24 | none | 0.6151 | chemistry | 0.1515 | null | [] | 0 | 6 | normal | |
danielwp22/eval_smolvla_v3_10hz | none | 0.921 | code | 0.0707 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=danielwp22/eval_smolvla_v3_10hz">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-data... | 2,968 | 16 | normal |
electricsheepafrica/nigerian-banking-retail-transactions | finance | 0.9677 | none | 0.0259 | finance | [
"nigeria",
"banking",
"fraud-detection",
"finance",
"transactions",
"fintech"
] | # Nigerian Retail Banking Transactions (CASA)
**Dataset Type**: Banking & Finance
**Version**: 1.0
**License**: Apache 2.0
**Language**: English
**Geography**: Nigeria
---
## Dataset Description
This dataset contains synthetic Nigerian retail banking transactions (Current and Savings Accounts) with fraud de... | 8,142 | 107 | normal |
efficientscaling/Z1-Code-Reasoning-Shortest-90K | code | 0.9257 | none | 0.0361 | null | [] | 0 | 7 | new_discovery | |
french-open-data/transport-urbain-redon-agglomeration | cybersecurity | 0.4887 | none | 0.4018 | null | [
"mobilite",
"mobilite-et-transports",
"mobilites",
"reseaux-de-transport",
"transport",
"transport-en-commun",
"transports",
"dataset_for_agent"
] | # Transport urbain REDON Agglomération
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Transport urbain REDON Agglomération** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68e3c7588855419cc8bc5009
## Description
Données descriptives ... | 572 | 15 | boundary |
mlfoundations-dev/train_fasttext_classifier_seed_math_best_openr1math | none | 0.5165 | chemistry | 0.2691 | null | [] | 0 | 5 | normal | |
deepghs/arknights_voices_jp | none | 0.9703 | code | 0.0149 | null | [
"audio",
"text",
"voice",
"anime",
"arknights"
] | # JP Voice-Text Dataset for Arknights Waifus
This is the JP voice-text dataset for arknights playable characters. Very useful for fine-tuning or evaluating ASR/ASV models.
Only the voices with strictly one voice actor is maintained here to reduce the noise of this dataset.
10905 records, 26.3 hours in total. Average... | 20,581 | 34 | normal |
trnguyenai01/FullData_Report | none | 0.3031 | climate | 0.2052 | null | [] | 0 | 4 | normal | |
sert121/ad_instruct_containing_a_e_m_h_test_shuffled_5 | none | 0.9744 | legal | 0.0126 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_4_features
# Features Used
['education', 'age', 'hours-per-week', 'marital-status']
## Dataset Description
Top 4 features selected from the adult dataset by the LLM. | 312 | 4 | normal |
kobikelemen/towel_fold_trimmed | none | 0.913 | code | 0.0816 | null | [
"fairino",
"rlds"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,590 | 5 | normal |
svjack/3D_Chibi_Images_Captioned | none | 0.4835 | code | 0.17 | null | [] | 0 | 5 | normal | |
sagniksengupta/spiqa-train-subset-2000 | chemistry | 0.3824 | none | 0.3303 | null | [] | This repository contains a subset of the SPIQA dataset.
There are the contents of 2000 randomly sampled papers from the train_val set, with approximately 20980 images for VQA. | 176 | 3 | boundary |
chengfu0118/DeepSeek-R1-FP4_1757570920_eval_f912 | none | 0.9265 | math | 0.0399 | null | [] | # chengfu0118/DeepSeek-R1-FP4_1757570920_eval_f912
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 59.93% ± 0.77%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 60.61... | 389 | 5 | normal |
achinta3/2d_maze_dataset | none | 0.4466 | chemistry | 0.2102 | null | [] | 0 | 6 | normal | |
exaFLOPs09/M2S_60_08 | none | 0.9289 | code | 0.0607 | 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",
"... | 7,183 | 18 | normal |
jihadface/pdf_mcq_output_v10 | none | 0.597 | climate | 0.1129 | null | [] | 0 | 5 | normal | |
aravdhoot/llm-domain-shift-fin_output | none | 0.5242 | code | 0.1227 | null | [] | 0 | 5 | normal | |
OALL/details_SeaLLMs__SeaLLMs-v3-7B-Chat | none | 0.7256 | biology | 0.2334 | null | [] | # Dataset Card for Evaluation run of SeaLLMs/SeaLLMs-v3-7B-Chat
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat).
The dataset is composed of 136 configuration, each one cor... | 24,794 | 4 | normal |
mteb/R2MEDMedQADiagRetrieval | medical | 0.8432 | none | 0.1502 | null | [
"mteb",
"text"
] | <!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
<h1 styl... | 4,905 | 4 | new_discovery |
jbirbtheterrible/spell-a-caster-14 | none | 0.8875 | code | 0.022 | 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 spell-a-caster-14
This dataset has been created... | 4,750 | 6 | normal |
opencompass/VerifierBench | math | 0.9035 | none | 0.0858 | null | [
"answer-verification",
"response-validation",
"math-verification",
"reward-model"
] | # Dataset Card for VerifierBench
<div align="left" style="line-height: 1;">
<a href="https://github.com/open-compass/CompassVerifier" target="_blank" style="margin: 2px;">
<img alt="GitHub Repository" src="https://img.shields.io/badge/GitHub-Repository-blue?color=1991ff&logo=github&logoColor=white" style="displa... | 8,585 | 109 | new_discovery |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_3_dataset_0_for_gen_1 | none | 0.8973 | biology | 0.0335 | null | [] | 0 | 3 | normal | |
anirudhb11/75_100_interations_10_attempts_prompt_v3 | none | 0.858 | code | 0.0442 | null | [] | 0 | 9 | normal | |
zinzinmit/MedNLPCombined | medical | 0.671 | chemistry | 0.1429 | null | [
"medical",
"nlp",
"ner",
"relation-extraction",
"chemistry",
"biology"
] | # MedNLPCombined
## Dataset Description
**MedNLPCombined** is a collected repository of medical Natural Language Processing (NLP) datasets, primarily focused on **Chemical-Disease Relations (CDR)**, **Toxicogenomics**, and **Gene Interactions**. This repository is designed to facilitate research in Named Entity R... | 8,533 | 88 | normal |
thewisp/eval_pick_place_black_king_jan_11 | none | 0.9511 | code | 0.045 | 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",
"... | 3,881 | 4 | normal |
yosiasz/voa_news_amharic | none | 0.7541 | finance | 0.1148 | null | [
"news"
] | # 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... | 3,551 | 8 | normal |
emailmarketingdataset/mobile-spy-app-users-dataset | none | 0.8833 | cybersecurity | 0.0663 | null | [
"crm",
"marketing",
"b2b"
] | # Synthetic Business Contact Dataset – Mobile Spy App Users Email List
## Description
This dataset demonstrates the schema of business contact datasets used in CRM systems.
## Columns
First Name
Last Name
Company
Department
Job Title
Industry
Company Size
Email
Country
## Dataset Size
Train ro... | 1,283 | 11 | normal |
TAUR-dev/MEASURESrw_r1_12d_eval__test | none | 0.5135 | code | 0.1729 | null | [] | 0 | 5 | normal | |
SayantanJoker/Shrutilipi_Hindi_resampled_44100_merged_3_quality_metadata_description | none | 0.6126 | code | 0.1714 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent_dev_set_v2_DCAgent2_swesmith-nl2bashseq | none | 0.7165 | chemistry | 0.1399 | null | [] | 0 | 21 | normal | |
JunnDooChoi/HandOver_Assistance_L_val_tq | none | 0.8403 | code | 0.1474 | 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",
"... | 6,461 | 5 | normal |
tavish-mishra/my_image_captioning_dataset_testing | none | 0.7506 | climate | 0.0616 | null | [] | 0 | 5 | normal | |
bigglesworthnotcat/llm-steg-alpaca-gpt4 | none | 0.8513 | code | 0.1029 | null | [] | # llm-steg-alpaca-gpt4:
This dataset is used to teach large language models a specific steganographic technique in [Invisible Safety Threat](https://arxiv.org/abs/2603.08104).
Compared to the version described in our paper, this public release excludes samples associated with harmful payloads (approximately 1% of the ... | 1,210 | 24 | normal |
HungVu2003/gemma-2b_beta_0.0_alpha_0.0_num-company_3_dataset_0_for_gen_16 | none | 0.9293 | code | 0.023 | null | [] | 0 | 3 | normal | |
buketyurt/finetunning | none | 0.4295 | code | 0.1319 | null | [] | 0 | 4 | normal | |
hainh22/gym-peg-insertion-triangle-w-ft | none | 0.9189 | code | 0.0756 | 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",
"... | 4,291 | 4 | normal |
cjvt/GramQA | none | 0.9661 | code | 0.0255 | null | [
"linguistics",
"agentic AI",
"grammatical analysis",
"universal dependencies"
] | # Corpus-Grounded Evaluation Dataset for Grammatical Question Answering - GramQA
The Corpus-grounded evaluation dataset for grammatical question answering (GramQA) consists of 13 grammatical questions inspired by [WALS](https://wals.info/), the World Atlas of Language Structures, focusing on word order variation acros... | 3,077 | 12 | normal |
sert121/ad_instruct_containing_a_w_f_e_m_o_r_r_s_c_c_h_n_test | none | 0.6358 | legal | 0.3341 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_13_features
# Features Used
['education', 'age', 'hours-per-week', 'marital-status', 'occupation', 'sex', 'relationship', 'race', 'capital-gain', 'capital-loss', 'workclass', 'native-country... | 432 | 4 | normal |
UrbanSounds/UrbanSoundsNew | none | 0.827 | chemistry | 0.0722 | null | [
"Environmental",
"UrbanSounds",
"Streetsounds",
"Noisepollution"
] | New version of the UrbanSounds (small) dataset. Containing +/- 25 samples of each of the nine classes. See https://github.com/Sensemakersamsterdam/OpenEars for more info. | 170 | 855 | normal |
cfpark00/addition_0_9 | none | 0.5254 | climate | 0.1243 | null | [] | 0 | 5 | normal | |
Locutusque/function-calling-chatml | none | 0.6482 | code | 0.335 | null | [] | # Dataset Card for "function-calling-chatml"
Converted glaiveai/Glaive-function-calling-v2 to chatml format.
## Example entry
```
[ { "from": "system", "value": "You are a helpful assistant with access to the following functions. Use them if required -{\n \"name\": \"create_contact\",\n \"description\": \"Create a n... | 1,232 | 815 | normal |
yiyic/oscar_my_test | none | 0.3749 | code | 0.1677 | null | [] | 0 | 4 | normal | |
andrrrei/saiga_pref_selfplay_best_sft | none | 0.8498 | code | 0.0431 | null | [] | 0 | 4 | normal | |
FaalSa/cluster0_3 | climate | 0.3388 | none | 0.283 | null | [] | 0 | 2 | boundary | |
svjack/genshin_cosplay_apple_ios_images_pair | none | 0.9072 | climate | 0.0181 | null | [] | 0 | 5 | normal | |
byeol12/movies-dataset | none | 0.9767 | finance | 0.0051 | null | [] | # +9000 Movie Dataset
## Overview
This dataset is sourced from [Kaggle](https://www.kaggle.com/datasets/disham993/9000-movies-dataset/data) and has been granted CC0 1.0 Universal (CC0 1.0) Public Domain Dedication by the original author. This means you can copy, modify, distribute, and perform the work, even for comm... | 1,423 | 4 | normal |
Bharatdeep-H/portfolio-query-d-18-cot | none | 0.5188 | code | 0.1022 | null | [] | 0 | 5 | normal | |
bones27/my-distiset-3ab00639 | none | 0.8069 | legal | 0.1106 | 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-3ab00639
This dataset has been crea... | 17,964 | 3 | normal |
Qipei/eval_act_task_t1 | none | 0.9203 | code | 0.0706 | 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",
"... | 4,976 | 5 | normal |
zjhhhh/3b_iter2_rlcf_scores_57 | none | 0.508 | chemistry | 0.2485 | null | [] | 0 | 4 | normal | |
sert121/ad_instruct_containing_a_w_e_m_o_r_s_c_c_h_test_shuffled_4 | none | 0.7012 | legal | 0.2418 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_10_features
# Features Used
['occupation', 'hours-per-week', 'education', 'age', 'relationship', 'sex', 'workclass', 'marital-status', 'capital-gain', 'capital-loss']
## Dataset Desc... | 396 | 4 | normal |
gianrp6/kitconnor | none | 0.493 | chemistry | 0.108 | null | [
"art"
] | 0 | 4 | normal | |
linhla/mnvcx | chemistry | 0.2886 | none | 0.2429 | null | [] | 0 | 6 | boundary | |
OALL/details_ibivibiv__llama-3-nectar-dpo-8B | none | 0.9727 | code | 0.0219 | null | [] | # Dataset Card for Evaluation run of ibivibiv/llama-3-nectar-dpo-8B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [ibivibiv/llama-3-nectar-dpo-8B](https://huggingface.co/ibivibiv/llama-3-nectar-dpo-8B).
The dataset is composed of 136 configuration, ... | 24,844 | 6 | normal |
vwxyzjn/openhermes-dev__mistralai_Mixtral-8x7B-Instruct-v0.1__1706888126 | none | 0.448 | code | 0.44 | null | [] | 0 | 3 | normal | |
pt-eval/eval_7shot_3exp | none | 0.7524 | climate | 0.0859 | null | [] | 0 | 4 | normal | |
triton7777/so100_pick_place_miniature_gift_0 | none | 0.919 | code | 0.0769 | 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",
"... | 4,858 | 11 | normal |
namejun12000/AW_finetuning_5core_try1_all_final_valid_include_inference2_beauty | none | 0.7667 | code | 0.145 | null | [] | 0 | 4 | normal | |
HaruthaiAi/VanGogh_NeuralMatch_TreeOil_Wheatfield | biology | 0.3642 | medical | 0.1769 | null | [] | This dataset presents a forensic AI analysis comparing Vincent van Gogh’s Wheatfield with Crows (1890) with The Tree Oil Painting, an anonymous work under investigation. Using 18 advanced neural-based techniques—including torque mapping, flick vector tracking, Fourier spectrum, pigment flow simulation, and X-ray struct... | 941 | 3 | normal |
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