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 |
|---|---|---|---|---|---|---|---|---|---|---|
du09/Amazon-Reviews-2023 | none | 0.8395 | code | 0.1363 | null | [
"recommendation",
"reviews"
] | # Amazon Reviews 2023
**Please also visit [amazon-reviews-2023.github.io/](https://amazon-reviews-2023.github.io/) for more details, loading scripts, and preprocessed benchmark files.**
**[April 7, 2024]** We add two useful files:
1. `all_categories.txt`: 34 lines (33 categories + "Unknown"), each line contains a ca... | 19,642 | 500 | normal |
aditya-shinde/sft-math-dataset | none | 0.6489 | math | 0.1059 | null | [] | 0 | 12 | normal | |
AutoComp/AutoComp-Minimal-N3-P | none | 0.807 | code | 0.0937 | null | [] | 0 | 5 | normal | |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-32-path-3-n-8000-s-4400-e-4500 | none | 0.9399 | code | 0.0424 | null | [] | 0 | 5 | normal | |
Bretagne/IGEKO | none | 0.6233 | chemistry | 0.1392 | null | [] | > [!NOTE]
> Dataset origin: https://www.brezhoneg21.com/geriaouegou.php | 72 | 5 | normal |
mlfoundations-dev/d2_math_mc_hf | chemistry | 0.4135 | math | 0.2502 | null | [] | 0 | 5 | normal | |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_r2egymGPT5CodexPassed-nl25cbe1eb5 | none | 0.6689 | code | 0.1574 | null | [] | 0 | 11 | normal | |
1231czx/7b_sft_510k_1epoch_gen_data_iter1 | none | 0.6288 | chemistry | 0.2029 | null | [] | 0 | 4 | normal | |
open-llm-leaderboard-old/details_Weyaxi__Newton-OpenHermes-2.5-neural-chat-v3-3-Slerp | none | 0.9667 | biology | 0.0153 | null | [] | # Dataset Card for Evaluation run of Weyaxi/Newton-OpenHermes-2.5-neural-chat-v3-3-Slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Weyaxi/Newton-OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/Newton-OpenHermes-2.5-neural-ch... | 19,368 | 6 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d6996867-f84b-4479-be8e-c8cdf47fb474 | none | 0.6268 | code | 0.1841 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent2_bfcl-parity_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8B-max9b051477 | none | 0.3892 | biology | 0.2939 | null | [] | 0 | 17 | normal | |
self-label-zanette-lab/family-16_20-train_OOD_test | biology | 0.817 | none | 0.1165 | null | [] | 0 | 6 | new_discovery | |
Columbia-NLP/DPO-PKU-SafeRLHF | none | 0.884 | code | 0.0753 | null | [] | # Dataset Card for DPO-PKU-SafeRLHF
Reformatted from [PKU-Alignment/PKU-SafeRLHF](https://huggingface.co/datasets/PKU-Alignment/PKU-SafeRLHF) dataset.
The [LION-series](https://huggingface.co/collections/Columbia-NLP/lion-series-668408c08c5067bc70de8ca2) are trained using an **empirically optimized pipeline** that co... | 1,423 | 17 | normal |
aisi-whitebox/mo1x_checkpoint_264_mmlu_0_shot | none | 0.4834 | cybersecurity | 0.4647 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_264_mmlu_0_shot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-20.
### Model Information
- **Model**: `vllm/checkpoint-264`
### Task Information
- **Tasks**: `inspect_evals/mmlu_0_shot`
### ... | 1,468 | 5 | normal |
MikeWazowski000/mira | none | 0.4705 | code | 0.1587 | null | [
"legal",
"code",
"art"
] | 0 | 4 | normal | |
kevin017/bioS_QA_c_city_small | none | 0.5545 | climate | 0.2102 | null | [] | 0 | 4 | normal | |
Windy/tmp_output_apc | none | 0.4503 | code | 0.191 | null | [] | 0 | 5 | normal | |
datacomp/ImageNetTraining90.0-frac-1over2 | none | 0.633 | code | 0.3016 | null | [] | Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | 96 | 42 | normal |
Thesho1/ODA-Mixture-500k-copy-31 | math | 0.7929 | none | 0.1409 | null | [] | # ODA-Mixture-500k
<img src="performance.png" alt="Subject Distribution" width="1200" />
ODA-Mixture-500k is a large-scale general-purpose post-training dataset curated from top-performing open corpora (selected via the *OpenDataArena* leaderboard) and refined through deduplication, benchmark decontamination.
---
... | 12,155 | 7 | normal |
Nfiniteai/so_arm_100_image_rnd_3 | none | 0.9564 | code | 0.0326 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
The SO ARM 100 test dataset series is an example dataset for testing purposes. It is a synthetic dataset from a
high-fidelity pick and place task recorded from an expert policy trained in IsaacLab. The dataset c... | 3,774 | 12 | normal |
AngelBottomless/Gelbooru-SQLite | code | 0.815 | none | 0.0823 | null | [] | This is db dump(s) of booru-typed databases.
The codebase (https://github.com/aria1th/Booru-Unified-Sqlite) will be used for creating DB, to handle various types of DB + allowing multiple DBs being loaded in same program.
Danbooru DB, mainly, will be updated at https://huggingface.co/datasets/KBlueLeaf/danbooru2023-sq... | 329 | 23 | new_discovery |
andreanasuto/mig-de | none | 0.4898 | chemistry | 0.1219 | null | [] | 0 | 5 | normal | |
baohuynhbk14/fleurs-preprocessed-16k-whisper-large-v3 | none | 0.714 | biology | 0.1117 | null | [] | 0 | 11 | normal | |
automated-analytics/ai4privacy-pii-fine-grained | none | 0.6543 | cybersecurity | 0.1544 | null | [] | 0 | 3 | normal | |
ApaydinK/le-robot_7 | none | 0.8983 | code | 0.0969 | 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"... | 3,727 | 39 | normal |
presencesw/multinli_matched | none | 0.4736 | climate | 0.0894 | null | [] | 0 | 4 | normal | |
Bisher/ASVspoof_2021_DF_encoded | none | 0.468 | code | 0.1496 | null | [] | 0 | 12 | normal | |
aaquino/drum-spectrogram-dataset | none | 0.6483 | climate | 0.1018 | null | [] | 0 | 6 | normal | |
Verdugie/opus-4.6-training-catalog | code | 0.6468 | none | 0.3482 | null | [
"claude",
"opus-4.6",
"reasoning",
"coding",
"conversation",
"distillation"
] | # Opus 4.6 Community Training Catalog
A curated, cleaned, and deduplicated collection of community-created Claude Opus 4.6 distillation datasets from HuggingFace. Contains reasoning traces, coding examples, and conversational data generated by `claude-opus-4-6`.
## Dataset Summary
| Metric | Value |
|--------|------... | 3,876 | 20 | normal |
haorandai/png_bicycle_solid_olive_5samples_epsilon0.1 | chemistry | 0.624 | none | 0.1951 | null | [] | 0 | 4 | normal | |
iqwiki-kor/ufc-prompt-eng-translated-it | none | 0.8781 | code | 0.0504 | null | [] | 0 | 3 | normal | |
R0bfried/RAGAS-12000-llama-3-2-3B-16bit-eval2 | none | 0.7074 | code | 0.1429 | null | [] | 0 | 5 | normal | |
krishnAbadikelA/bengali-indicxnli-ipa | none | 0.5953 | legal | 0.077 | null | [] | 0 | 6 | normal | |
eachmel/russian-spelling-correction | none | 0.5334 | biology | 0.2397 | null | [] | 0 | 5 | normal | |
MotLearn/toDelete2 | none | 0.4119 | code | 0.2234 | null | [] | 0 | 4 | normal | |
jasonkrone/arc_easy_with_dev_hpo | none | 0.4314 | code | 0.2466 | null | [] | 0 | 4 | normal | |
yjwon/mp_mistral7b_sft1_b512_lr5e-6_self-penalty-ogd_rms_epoch1_greedy | none | 0.7981 | chemistry | 0.0851 | null | [] | 0 | 4 | normal | |
baconnier/deepsynth-en-legal | legal | 0.9978 | finance | 0.0012 | null | [
"summarization",
"vision",
"DeepSeek-OCR",
"multilingual",
"visual-text-encoding",
"random-augmentation"
] | # DeepSynth - BillSum Legal Document Summarization
## Dataset Description
US Congressional bills with human-written summaries. Specialized for legal document summarization
with complex structure, formal language, and legislative terminology.
This dataset is part of the **DeepSynth** project, which uses visual text e... | 8,435 | 25 | new_discovery |
kanghokh/att_data | none | 0.4616 | climate | 0.1374 | null | [] | 0 | 48 | normal | |
amal-abed/50k-0.95-before-dedup-subset | none | 0.8404 | code | 0.0671 | null | [] | 0 | 4 | normal | |
jkminder/Dolma3_mix_annotation_sample | none | 0.4332 | code | 0.1416 | null | [] | 0 | 0 | normal | |
codasci/search_es_pre_claude_4_5_opus | none | 0.6802 | code | 0.1268 | null | [] | 0 | 14 | normal | |
jokabucket/ascii-cats | none | 0.5183 | code | 0.2003 | null | [] | 0 | 4 | normal | |
vinsblack/CodeReality | code | 0.9159 | cybersecurity | 0.0594 | code | [
"code",
"software-engineering",
"robustness",
"noisy-dataset",
"evaluation-subset",
"research-dataset",
"code-understanding"
] | # CodeReality: Evaluation Subset - Deliberately Noisy Code Dataset
![Subset](https://img.shields.io/badge/type-evaluati... | 16,916 | 179 | normal |
BarryFutureman/tiny_smol_cosmo | none | 0.4119 | chemistry | 0.1699 | null | [] | 0 | 5 | normal | |
scottgeng00/nabirds_no-label-merge_cot_qwen-2.5-vl-3b | biology | 0.7765 | none | 0.1806 | null | [] | 0 | 23 | normal | |
raniero/sn96g-howto-practical-2chunk1-20250919_185757 | none | 0.6466 | code | 0.2511 | null | [] | # Subnet 96 — Clean Q/A Dataset
**Format:** one JSONL per line:
```json
{"system": null, "conversations":[{"role":"user","content":"..."}, {"role":"assistant","content":"..."}]}
```
- **Total pairs:** 2
- **Avg answer length (tokens):** 21 (median 21.0, min 15, max 27)
- **Schema errors:** 0 (should be 0)
- **File si... | 569 | 5 | normal |
mlfoundations-dev/multiple_samples_majority_consensus_gpt_picker_seed_code | none | 0.918 | chemistry | 0.021 | null | [] | 0 | 5 | normal | |
tmpmodelsave/beta05llamasft_math_ift_balanced_dpo_moredata_750tmp07 | none | 0.7313 | math | 0.0751 | null | [] | 0 | 4 | normal | |
hashim57/ij2 | none | 0.3316 | biology | 0.2406 | null | [] | 0 | 5 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754906127_eval_759d_aime24_geometric_num_prune_ffn_4 | none | 0.9771 | math | 0.0132 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754906127_eval_759d_aime24_geometric_num_prune_ffn_4
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 0.33% ± 0.32%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|--------... | 578 | 4 | normal |
giannisan/penny_dataset_jsonl | none | 0.8511 | code | 0.1028 | null | [] | # giannisan/penny_dataset_jsonl
This dataset is a modified version of giannisan/merged_dataset_hf_datasets where all instances of "Samantha" have been replaced with "Penny".
The dataset is stored in JSONL format.
## Dataset Structure
Each line in the JSONL file represents one example, containing a 'conversations' f... | 410 | 5 | normal |
zjhhhh/iter2_7b_min_perprompt_scores_adversary_51 | none | 0.7342 | code | 0.12 | null | [] | 0 | 6 | normal | |
dgambettaphd/D_mis_run1_gen5_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.7479 | code | 0.0755 | null | [] | 0 | 6 | normal | |
ducut91/korean-personal-info-dispute-mediation-cases | legal | 0.9811 | none | 0.0106 | legal | [
"legal"
] | # 📚 Korean Personal Information Dispute Mediation Cases (2002–2024)
This dataset contains structured records of **dispute mediation cases** handled by the **Personal Information Dispute Mediation Committee** of Korea between **2002 and 2024**. The data is intended for use in research related to personal data protecti... | 4,474 | 4 | normal |
LM-Polygraph/trivia_qa_tiny | none | 0.6631 | code | 0.3233 | null | [] | # Dataset Card for trivia_qa_tiny
<!-- Provide a quick summary of the dataset. -->
This is a preprocessed version of trivia_qa_tiny dataset for benchmarks in LM-Polygraph.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** https://huggingface.co... | 3,170 | 74 | normal |
SayantanJoker/processed_seamless_align_hindi_new_chunk_62 | none | 0.8013 | code | 0.1037 | null | [] | 0 | 4 | normal | |
sihyun77/sihyun_3_17_5 | none | 0.918 | code | 0.079 | 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"... | 3,735 | 7 | normal |
quyanh/lexglue-cot-dpo-test | none | 0.319 | code | 0.2273 | null | [] | 0 | 2 | normal | |
Weni/weni-agents-dpo-argilla | none | 0.7686 | code | 0.0594 | null | [] | 0 | 6 | normal | |
jrkhf/so101_wrist_top_cameras_set_2 | none | 0.886 | code | 0.1075 | 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",
"... | 3,583 | 8 | normal |
zjhhhh/iter2_7b_multi_scores_base_32 | none | 0.8167 | code | 0.0456 | null | [] | 0 | 4 | normal | |
cfierro/mmlu_chat | none | 0.5076 | climate | 0.1214 | null | [] | 0 | 5 | normal | |
rechim25/maniskill_stackcube | none | 0.8596 | code | 0.1352 | null | [
"maniskill",
"panda"
] | 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",
"... | 2,480 | 874 | normal |
french-open-data/lieux-remarquables-de-la-commune-de-chassieu | none | 0.7288 | legal | 0.2161 | null | [
"dataset_for_agent"
] | # Lieux remarquables de la commune de Chassieu
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Lieux remarquables de la commune de Chassieu** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5dd651758b4c410b11b940ce
## Description
Lieux... | 516 | 6 | normal |
Kim3/BMT-terms | none | 0.466 | climate | 0.1483 | null | [] | 0 | 4 | normal | |
sat-arw/2_color_inverted_1 | none | 0.9236 | code | 0.0711 | 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",
"... | 4,214 | 6 | normal |
TAUR-dev/OTQ7BI_sft_openthoughts_100000_end200000_chunk_1 | none | 0.6107 | finance | 0.1801 | null | [] | 0 | 4 | normal | |
sha1779/regional_dataset_with_punc | none | 0.5534 | climate | 0.1443 | null | [] | 0 | 3 | normal | |
ciplab-robotics/record-test1 | none | 0.9304 | code | 0.0658 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=ciplab-robotics/record-test1">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset... | 4,530 | 17 | normal |
MiguelPalacios2504/datset_mandarin | none | 0.9337 | code | 0.0614 | 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",
"... | 3,577 | 5 | normal |
munnabhaimbbsfail/newdataset | none | 0.5 | code | 0.0978 | null | [] | 0 | 9 | normal | |
Lakshan2003/pairwise-gemini-2.5-flash-vs-llama-3.2-instruct | none | 0.6868 | code | 0.2052 | null | [] | 0 | 10 | normal | |
FrancophonIA/Belgian_government_bilingual_parallel_corpus | none | 0.9759 | finance | 0.0069 | null | [] | > [!NOTE]
> Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/18952
## Description
Aligned texts from the Belgian government in French and Dutch (aligned with SDL Trados Studio)
## Citation
```
Belgian government bilingual parallel corpus (2022). Version 1.0. [Dataset (Text corpus)]. Sou... | 415 | 4 | normal |
TAEDX/sample_data11 | none | 0.9177 | 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:** [More Information Needed]
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version"... | 3,596 | 32 | normal |
dgambettaphd/D_llm2_run1_gen5_WXS_doc1000_synt64_lr1e-04_acm_FRESH | none | 0.6466 | code | 0.1218 | null | [] | 0 | 5 | normal | |
SJTULean/LeanStatement_SFT | math | 0.988 | chemistry | 0.0063 | null | [] | # LeanStatement_SFT Dataset Documentation
## Dataset Description
This is a dataset specifically designed to train models to translate mathematical statements from natural language into Lean4 formal theorem statements.
### Dataset Summary
- **Task**: Translation from mathematical natural language to Lean4 formal state... | 847 | 19 | new_discovery |
jcamaraideko/eval_asdp | none | 0.9286 | code | 0.0618 | 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"... | 2,992 | 13 | normal |
harpreetsahota/coursera_week1_lesson7 | none | 0.7893 | finance | 0.1054 | null | [
"fiftyone",
"image",
"object-detection"
] | # Dataset Card for lecture_dataset_test_clone
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 4159 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
import fiftyone ... | 4,603 | 25 | normal |
jeqcho/qwen-2.5-7b-instruct-fox-numbers-run-0 | code | 0.5232 | none | 0.4215 | null | [] | 0 | 9 | boundary | |
french-datasets/jkswin_polyglot_fr_en_subset | cybersecurity | 0.6444 | none | 0.3208 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [jkswin/polyglot_fr_en_subset](https://huggingface.co/datasets/jkswin/polyglot_fr_en_subset). | 181 | 4 | normal |
jmrog/record-sweet3 | none | 0.9325 | code | 0.0624 | 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",
"... | 3,576 | 89 | normal |
asafd60/encoded_train_dataset | none | 0.5587 | climate | 0.1342 | null | [] | 0 | 5 | normal | |
majestical1/DNS-Challenge | none | 0.7032 | cybersecurity | 0.1654 | 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 | 3,818 | normal |
TianqiLiuAI/pair_preference_model_dataset_gemma2b_post_inference_2p5mto3m | none | 0.9005 | code | 0.0218 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_3106_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6016 | none | 0.3785 | null | [
"readymades",
"art",
"duchamp"
] | # edition_3106_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking every... | 990 | 13 | normal |
FiveC/EDA_RS | biology | 0.3018 | none | 0.2342 | null | [] | 0 | 7 | boundary | |
svjack/Magical_Cat_Images_Captioned | none | 0.3415 | code | 0.2133 | null | [] | 0 | 4 | normal | |
Rahtoken/k-on_subtitles | none | 0.7138 | code | 0.138 | null | [] | 0 | 4 | normal | |
liyitenga/so100_pick_taffy10 | none | 0.9165 | code | 0.0801 | null | [
"so100",
"so100_pick"
] | 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",
"... | 4,219 | 22 | normal |
Cheng-YANG/MMMU_Pro_10c_COT | none | 0.3821 | biology | 0.1641 | null | [] | 0 | 7 | normal | |
asingh15/arc-barc-processed-direct-max4k-instruct-default-16k-solutions-8of16 | none | 0.7804 | code | 0.1626 | null | [] | 0 | 4 | normal | |
Darsh1234Tayal/my_dataset | none | 0.4595 | code | 0.1484 | null | [] | 0 | 7 | normal | |
VargheseP/palgo_bbx_new_test_train | none | 0.5804 | climate | 0.1115 | null | [] | 0 | 5 | normal | |
shiv96/StrongREJECT-llama_3.2-1B-it-activation-pca-steered | none | 0.7665 | code | 0.1308 | null | [] | 0 | 6 | normal | |
qwselfcorr/math_and_augmath_cor20k_20k_2e6_3ep_tmp07 | none | 0.4021 | math | 0.3347 | null | [] | 0 | 4 | normal | |
Zeal-Nir/cuzco-quechua-2-spanish-dataset | none | 0.7975 | code | 0.0471 | null | [] | 0 | 14 | normal | |
ufal/cus-qa | none | 0.9627 | code | 0.0252 | null | [] | # CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset
[CUS-QA](https://arxiv.org/abs/2507.22752) is a benchmark for open-ended regional question answering that encompasses both textual and visual modalities. The dataset consists of manually curated questions and answers grounded in Wikipedia, create... | 9,074 | 105 | normal |
sajal09/MNLP_M2_quantized_dataset | none | 0.4329 | chemistry | 0.1908 | null | [] | 0 | 2 | normal | |
DCAgent2/eval-laion_100k_lr1e-6__Qwen3-8B_DCAgent2_terminal_bench_2 | none | 0.5861 | code | 0.3095 | null | [] | 0 | 7 | normal |
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