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 |
|---|---|---|---|---|---|---|---|---|---|---|
jablonkagroup/ncbi_disease | none | 0.395 | medical | 0.3524 | null | [] | ## Dataset Details
### Dataset Description
ncbi_disease is a named entity recognition dataset for disease mentions.
- **Curated by:**
- **License:** https://huggingface.co/datasets/bigbio/blurb/blob/main/LICENSE
### Dataset Sources
- [original dataset](https://huggingface.co/datasets/bigbio/blurb)
## Citation
<!... | 1,001 | 3 | normal |
paolordls/crosslg-cont-tg-benchmark-grade | none | 0.6139 | code | 0.1633 | null | [] | 0 | 4 | normal | |
zonglin11/lerobot_lesson_lightblueblock | none | 0.9352 | code | 0.0598 | 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",
"... | 2,948 | 8 | normal |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_weigh2ab922ed | code | 0.822 | none | 0.1676 | null | [] | 0 | 9 | new_discovery | |
melihcatal/codedp-bench-seq-extraction | none | 0.44 | chemistry | 0.2449 | null | [] | 0 | 55 | normal | |
introspection-auditing/backdoor_run1_improved_48_induce | none | 0.9187 | code | 0.0243 | null | [] | 0 | 5 | normal | |
mittu1204/ComperDial | none | 0.391 | code | 0.1581 | null | [] | 0 | 5 | normal | |
RylanSchaeffer/collapse_gemma-2-2b_hs2_accumulate_iter4_sftsd2_temp1_max_seq_len512 | none | 0.6666 | chemistry | 0.1533 | null | [] | 0 | 2 | normal | |
AfiqN/mango-leaf-disease2 | biology | 0.819 | climate | 0.08 | null | [] | 0 | 4 | new_discovery | |
Roicha90/hi | none | 0.3581 | biology | 0.146 | null | [] | 0 | 4 | normal | |
ayushchakravarthy/maze10000x30x30-500-w01-gd00100300601502505 | none | 0.8387 | code | 0.067 | null | [] | 0 | 9 | normal | |
marcov/multi_x_science_sum_promptsource | none | 0.4608 | chemistry | 0.2484 | null | [] | 0 | 5 | normal | |
SunlitDeadline/qwen3-0.6b-blindspots | none | 0.7609 | code | 0.1306 | null | [] | # Qwen3-0.6B Blind Spots
This dataset contains behavioral evaluation examples of the [Qwen3-0.6B-Base](https://huggingface.co/Qwen3-0.6B-Base) model. It documents **blind spots** where the model produces incorrect outputs across a diverse set of reasoning, arithmetic, commonsense, and instruction-following tasks.
## ... | 3,854 | 14 | normal |
march18/PokTells | none | 0.2868 | climate | 0.2069 | null | [] | 0 | 8 | normal | |
wassname/mmlu_preferences | chemistry | 0.7306 | none | 0.2321 | null | [
"rlhf",
"preferences",
"dpo"
] | ---
license: mit
---
reformat of [MMLU](https://huggingface.co/datasets/cais/mmlu) to be in DPO (paired) format
examples:
{'prompt': 'Which of the following statements about the lanthanide elements is NOT true?', 'chosen': 'The atomic radii of the lanthanide elements increase across the period from La to Lu.', 're... | 1,074 | 277 | normal |
fabianschmidt-cohere/MAIR-Trench_Reference__mteb | none | 0.3634 | chemistry | 0.2196 | null | [] | 0 | 5 | normal | |
cezarsolo/so100_test | none | 0.9097 | code | 0.0861 | 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",
"... | 3,577 | 17 | normal |
davidberenstein1957/naturally_occurring_feedback_per_loading_mode | none | 0.7841 | code | 0.0885 | null | [] | 0 | 4 | normal | |
pa-shk/sberquad-doc2query | none | 0.4302 | chemistry | 0.1736 | null | [] | 0 | 4 | normal | |
sunhaozhepy/xsum_keywords | none | 0.4565 | code | 0.1479 | null | [] | 0 | 5 | normal | |
ai2lumos/lumos_multimodal_ground_iterative | code | 0.6042 | none | 0.3844 | null | [
"language-agent",
"reasoning",
"visual-question-answering",
"grounding"
] | # 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
<p align="center">
🌐<a href="https://allenai.github.io/lumos">[Website]</a>
📝<a href="https://arxiv.org/abs/2311.05657">[Paper]</a>
🤗<a href="https://huggingface.co/datasets?sort=trending&search=ai2lumos">[Data]</a> &n... | 3,458 | 14 | normal |
njh9730/put_in_the_box_100k | none | 0.9212 | code | 0.0738 | 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",
"... | 3,580 | 13 | normal |
french-open-data/carte-cooperative-libre-et-open-source-des-fablabs-et-tiers-lieux-de-bretagne | cybersecurity | 0.9313 | none | 0.0564 | null | [
"bretagne",
"cantine",
"coworking",
"fab-lab",
"fablab",
"fabrication",
"hakerspace",
"labfab",
"makerspace",
"numerique",
"tierslieux",
"dataset_for_agent"
] | # Carte coopérative libre et open source des FabLabs et Tiers-Lieux de Bretagne
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Carte coopérative libre et open source des FabLabs et Tiers-Lieux de Bretagne** qui est disponible à l'adresse https://www.dat... | 842 | 6 | new_discovery |
dvilasuero/European_Capital_Images_new | none | 0.4344 | legal | 0.1274 | null | [
"aisheets",
"synthetic data"
] | 0 | 4 | normal | |
FrancophonIA/Wolof_Vocabulary_Anatomy_Trunk_Limbs | biology | 0.6714 | none | 0.1831 | null | [] | > [!NOTE]
> Dataset origin: https://wolofresources.org/language/vocab/anatomy_trunk.htm
Note : site à parser | 110 | 23 | normal |
therarelab/med_dispense_pickAB | none | 0.9145 | code | 0.0815 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,586 | 10 | normal |
indojin/eval_act_30ep | none | 0.9308 | code | 0.0633 | 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"... | 3,070 | 17 | normal |
IAS-AJOU/custom1 | none | 0.271 | code | 0.1584 | null | [] | 0 | 3 | normal | |
Basket-AEye/mvtec_mapped | none | 0.5454 | chemistry | 0.1508 | null | [] | ## Mapped MVTec Sets
This Repo contains different test sets which are subsets of the actual MVTec Set but mapped to our labels and filtered. | 140 | 43 | normal |
jihuny/llama_uf_10k_sky_active_newton_g10_l100_soft | none | 0.8835 | code | 0.0649 | null | [] | 0 | 0 | normal | |
ArenaRune/EldenRingQA | none | 0.6183 | code | 0.1135 | null | [
"elden-ring",
"question-answering",
"gaming",
"domain-specific",
"instruction-tuning",
"fromsoft"
] | # 🗡️ Elden Ring QA Dataset
A domain-specific question-answering dataset for Elden Ring, covering weapons, bosses, armors, spells, NPCs, locations, creatures, skills, and ashes of war — including cross-entity boss vulnerability analysis and per-build weapon recommendations.
## Dataset Description
- **Created by:** A... | 8,593 | 15 | normal |
PatronusAI/glider-reward-bench-suite-chat_hard | none | 0.8058 | code | 0.0983 | null | [] | 0 | 7 | normal | |
Emm9625/r2_coedit_v2_in_out | none | 0.6514 | biology | 0.0847 | null | [] | 0 | 4 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_ffa0f2d7-13ec-4d85-b276-749bcfdba64e | none | 0.6848 | code | 0.1343 | null | [] | 0 | 4 | normal | |
VedantPadwal/quantitative-finance-reasoning | finance | 0.9892 | none | 0.0086 | null | [
"reasoning-datasets-competition"
] | ### Dataset Description
**Dataset Summary**
This dataset contains question-answer pairs focused on quantitative finance, covering topics such as option pricing, stochastic calculus (Brownian motion, Itô's Lemma), probability theory, and financial modeling assumptions. Each instance includes a question, a detailed gro... | 3,786 | 16 | new_discovery |
Josephgflowers/Par-Four-Fineweb-Edu-Fortified | none | 0.7629 | code | 0.2212 | null | [] | Dataset Summary
This dataset is a filtered subset of the Fineweb-Edu-Fortified dataset. The primary goal of this subset is to reduce the dataset size to a more manageable volume while maintaining hig... | 3,014 | 99 | normal |
OALL/details_TIGER-Lab__MAmmoTH2-7B-Plus | none | 0.9417 | code | 0.0319 | null | [] | # Dataset Card for Evaluation run of TIGER-Lab/MAmmoTH2-7B-Plus
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [TIGER-Lab/MAmmoTH2-7B-Plus](https://huggingface.co/TIGER-Lab/MAmmoTH2-7B-Plus).
The dataset is composed of 136 configuration, each one cor... | 24,788 | 6 | normal |
sentence-transformers/flickr30k-captions | none | 0.947 | code | 0.0321 | null | [
"sentence-transformers"
] | # Dataset Card for Flickr30k Captions
This dataset is a collection of caption pairs given to the same image, collected from Flickr30k. See [Flickr30k](https://shannon.cs.illinois.edu/DenotationGraph/) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
N... | 1,090 | 130 | normal |
bismarck91/enA-frA-tokenised-GLMIV-qwen-part2 | none | 0.7713 | biology | 0.1002 | null | [] | 0 | 7 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8Ba9311f62 | none | 0.4639 | code | 0.2862 | null | [] | 0 | 6 | normal | |
AughhhSSSF/eval_lerobot_r_114514_6f8ba010 | none | 0.9227 | code | 0.0722 | 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",
"... | 3,578 | 9 | normal |
danish-foundation-models/norwegian-dynaword | none | 0.8662 | legal | 0.1088 | null | [
"text-corpus",
"continual-development",
"community-collaboration"
] | <!--
readme structure is inspired by:
https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
-->
# 🧨 Norwegian Dynaword
<!-- START README TABLE -->
| | ... | 21,244 | 479 | normal |
camilasfeijoo/eval_sweepblock__baseline | none | 0.9229 | code | 0.072 | 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",
"... | 3,572 | 10 | normal |
nikhilchandak/MATH_free | none | 0.3848 | chemistry | 0.2775 | null | [] | 0 | 7 | normal | |
Eli-Rhm/T5_Vs_SFT | climate | 0.291 | chemistry | 0.2633 | null | [] | 0 | 4 | boundary | |
ayatakagreentea/take24 | none | 0.913 | code | 0.0827 | 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"... | 3,725 | 15 | normal |
asingh15/arc-barc-processed-direct-max4k-sftabsfullprobs | none | 0.649 | chemistry | 0.0956 | null | [] | 0 | 12 | normal | |
OALL/details_google__recurrentgemma-2b-it | none | 0.9768 | code | 0.0204 | null | [] | # Dataset Card for Evaluation run of google/recurrentgemma-2b-it
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [google/recurrentgemma-2b-it](https://huggingface.co/google/recurrentgemma-2b-it).
The dataset is composed of 136 configuration, each one ... | 24,850 | 4 | normal |
mats-10-sprint-cs-jb/cot-oracle-eval-reasoning-termination-riya | none | 0.6985 | code | 0.1672 | null | [
"cot-oracle",
"unfaithfulness-detection",
"chain-of-thought",
"eval",
"iclr-2026"
] | # CoT Oracle Eval: Reasoning Termination (Riya)
## What This Eval Does
From ICLR 2026 "When Just Read the Chain of Thought Fails". Given a CoT prefix (model stopped mid-reasoning), predict whether the model will emit `</think>` within the next 100 tokens. Labels are robustly computed via resampling.
## Oracle Prompt... | 1,592 | 64 | normal |
sushanthr/wiki_ocr | none | 0.5062 | chemistry | 0.1442 | null | [] | 0 | 69 | normal | |
shng2025/so101_test_dataset-v2 | none | 0.9417 | code | 0.0515 | 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 | 6 | normal |
french-open-data/l-acces-a-la-nationalite-francaise-publication-du-20-juin-2022 | cybersecurity | 0.5677 | none | 0.203 | null | [
"acquisition-de-la-nationalite",
"acquisition-de-la-nationalite-par-declaration",
"acquisition-de-la-nationalite-par-decret",
"chiffres-cles-de-limmigration",
"integration",
"nationalite",
"nationalite-francaise",
"naturalisation",
"dataset_for_agent"
] | # L'accès à la nationalité française, publication du 20 juin 2022
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **L'accès à la nationalité française, publication du 20 juin 2022** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/634e71916... | 1,126 | 8 | normal |
mujin25/data | none | 0.5144 | climate | 0.1006 | null | [] | 0 | 5 | normal | |
ddamianos/gpc-all-08-507000 | none | 0.5949 | biology | 0.1605 | null | [] | 0 | 6 | normal | |
aaronsu11/so100_instrument | none | 0.891 | code | 0.1041 | null | [
"so100"
] | 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",
"... | 3,581 | 34 | normal |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112913e7f860 | none | 0.8053 | biology | 0.1028 | null | [] | 0 | 13 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_NoDiv-RL-gsm8k-eval_rl | none | 0.7272 | code | 0.1854 | null | [] | 0 | 4 | normal | |
beckpol/isaaclabevaltasks | none | 0.8524 | code | 0.1442 | 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",
"... | 4,475 | 29 | normal |
ISTNetworks/sa-xvector | none | 0.4032 | chemistry | 0.1961 | null | [] | 0 | 4 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_mlfoundations-dev_nemo-prism-math-sandboxes-traces-term34e3d741 | none | 0.8092 | math | 0.1129 | null | [] | 0 | 9 | normal | |
TAUR-dev/dataset__long_multiplication__3dig__longmult2dFiRC__BoN | none | 0.7759 | code | 0.116 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_0968_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9842 | code | 0.014 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0968_ryanmarten-OpenThoughts-1k-sample-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[ryanmarten/OpenThoughts-1k-sample](https://huggingface.co/datasets/ryanmarten/OpenThoughts-1k-sample)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objec... | 981 | 4 | normal |
deboradum/GeoCoordinates | none | 0.6984 | climate | 0.1294 | null | [] | A dataset containing 100,000+ Google StreetView images (900x1600px) and their coordinates. You can expand the dataset yourself using the scripts in the following Github repo: https://github.com/deboradum/geoGuessrV2/tree/main/createDataset | 239 | 19 | normal |
dokjashit/my-3333-dataset | none | 0.4805 | climate | 0.1137 | null | [] | 0 | 6 | normal | |
Bmcbob76/echo-coder-data | code | 0.9532 | cybersecurity | 0.0319 | null | [] | # Echo Code Commander Training Data
Fine-tuning data for Qwen2.5-Coder-72B-Instruct-AWQ → Echo Code Commander.
## Stats
- **Total**: 40,000 examples (346 MB)
- **Codebase**: 30,000 (sampled from 465,757 ECHO codebase)
- **Knowledge**: 5,000 (from Knowledge Forge)
- **Doctrines**: 5,000 (code-relevant subset)
... | 476 | 33 | new_discovery |
fionela/fionela-dataset-1766 | none | 0.9721 | code | 0.0152 | null | [] | # fionela-dataset-1766
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 194
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/vicgalle/alpaca-gpt4
## Notes
- Subset only (not full data... | 352 | 6 | normal |
zjhhhh/iter2_7b_multi_gap_0.17_scores_adversary_14 | none | 0.7657 | chemistry | 0.071 | null | [] | 0 | 7 | normal | |
Ramitha/snippet-less-output-all-models-all | none | 0.6857 | code | 0.2016 | null | [] | 0 | 4 | normal | |
ArlingtonCL2/BarkopediaDogEmotionClassification_Data | none | 0.8899 | medical | 0.0297 | null | [] | # 🐶 Barkopedia Challenge Dataset
[🔗 Barkopedia Website](https://uta-acl2.github.io/Barkopedia/)
## 📦 Dataset Description
This challenge provides a labeled dataset of dog bark audio clips for understanding the **arousal** and **valence** of emotional state from sound.
### 📁 Current Release
- **Training Set**
... | 1,393 | 54 | normal |
mlfoundations-dev/d2_code_fasttext | code | 0.497 | none | 0.2862 | null | [] | 0 | 5 | normal | |
akansha2k2/vllm-eduweb | none | 0.4847 | chemistry | 0.1004 | null | [] | 0 | 5 | normal | |
kenken6696/ALCUNA_meta_affirmative_funny_boring | none | 0.5056 | legal | 0.3266 | null | [] | 0 | 4 | normal | |
yyyyifan/flowlearn_test | math | 0.354 | none | 0.3466 | null | [
"flowchart",
"diagram"
] | # This dataset
This is the cleaned test set of [Flowlearn](https://huggingface.co/datasets/jopan/FlowLearn).
# Citation
Please cite the paper if you use this dataset.
```
@misc{pan2024flowlearnevaluatinglargevisionlanguage,
title={FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding},... | 580 | 40 | boundary |
gjyotin305/Qwen2.5-3B-Instruct_new_alpaca_003_hhexphi_hr_alpaca_1 | biology | 0.5643 | chemistry | 0.347 | null | [] | 0 | 8 | normal | |
silvialinatp/silvialinatp | none | 0.498 | biology | 0.3587 | null | [] | 0 | 4 | normal | |
berkincetin/llama_finetune_test | none | 0.4557 | climate | 0.1431 | null | [] | 0 | 4 | normal | |
Meosiuuubeo/act_length2 | none | 0.6055 | chemistry | 0.0848 | null | [] | 0 | 2 | normal | |
sxj1215/fer2013_1k | none | 0.3445 | climate | 0.2091 | null | [] | 0 | 55 | normal | |
kowndinya23/flan2022-zeroshot-inpt-outp-400000 | none | 0.6358 | code | 0.1216 | null | [] | 0 | 4 | normal | |
bt160607/SST-2_perturbed_aggregate | climate | 0.7637 | biology | 0.1192 | null | [] | 0 | 4 | normal | |
JJini/honsol | none | 0.299 | chemistry | 0.2072 | null | [] | 0 | 4 | normal | |
MCINext/arguana-fa-v2 | none | 0.786 | legal | 0.0919 | null | [] | ## Dataset Summary
**ArguAna-Fa** is a Persian (Farsi) dataset designed for the **Retrieval** task, focusing on **argument and counter-argument retrieval**. It is a translated version of the original English **ArguAna** dataset used in the BEIR benchmark and is a part of the **FaMTEB** (Farsi Massive Text Embedding Be... | 1,603 | 1,170 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_727564c5-0f06-4ac8-878b-fa1b44f5132f | none | 0.5816 | code | 0.1725 | null | [] | 0 | 3 | normal | |
NadineMostafa/AnghaBench_risc_clang_o0_80percent | none | 0.6748 | code | 0.0997 | null | [] | 0 | 8 | normal | |
TAUR-dev/SIE_EVAL__countdown3arg_ans_rev_think_p25chance__sft__results | none | 0.7228 | code | 0.1884 | null | [] | 0 | 6 | normal | |
LehongWu/tmp_debug_gold_dataset | none | 0.5447 | code | 0.1555 | null | [] | 0 | 49 | normal | |
electricsheepafrica/africa-short-term-debt-percentage-of-total-reserves | finance | 0.9535 | none | 0.0371 | null | [
"Africa",
"debt"
] | # Africa Short term Debt Percentage of Total Reserves Dataset
## Overview
This dataset contains short-term debt (% of total reserves) data for African countries from the World Bank Economy & Growth indicators.
## Data Details
- **Indicator Code**: DT.DOD.DSTC.IR.ZS
- **Description**: Short-term debt (% of total reser... | 1,876 | 7 | new_discovery |
TheFactoryX/edition_0118_SWE-Gym-SWE-Gym-readymade | none | 0.9857 | code | 0.0129 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0118_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:*... | 927 | 6 | normal |
Asap7772/arc-agi-mixed-max4096-sft5e-6-test-all-flat-train-Qwen3-4B-Thinking-2507-samp16-abs-1of8 | none | 0.9812 | biology | 0.0064 | null | [] | 0 | 5 | normal | |
k1000dai/libero_put_mug_in_microwave_38 | none | 0.9136 | code | 0.0786 | null | [
"libero",
"panda",
"openpi",
"collected"
] | 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",
"... | 2,478 | 25 | normal |
sophiefy/togawa_sakiko_voice | none | 0.7343 | chemistry | 0.0698 | null | [] | 0 | 7 | normal | |
SWE-bench/SWE-bench | code | 0.9758 | none | 0.0223 | null | [] | ### Dataset Summary
SWE-bench is a dataset that tests systems’ ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution.
The dataset was relea... | 2,964 | 3,954 | new_discovery |
do-yeon/my_01 | none | 0.9442 | code | 0.052 | 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",
"... | 2,739 | 5 | normal |
JiPoohLee/processed_bert_dataset | none | 0.5767 | climate | 0.1725 | null | [] | 0 | 4 | normal | |
SPRINGLab/IndicVoices-R_Bengali | none | 0.4328 | biology | 0.2224 | null | [] | 0 | 703 | normal | |
kshitijthakkar/smolagents-merged | chemistry | 0.705 | none | 0.1377 | null | [] | 0 | 7 | normal | |
mask-distilled-libri-one-sec-cv12/chunk_269 | none | 0.6689 | chemistry | 0.1062 | null | [] | 0 | 5 | normal | |
Thesho1/ODA-Mixture-500k-copy-62 | math | 0.7883 | none | 0.1439 | 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 | 5 | normal |
AliShah07/stamp-verification | none | 0.5499 | chemistry | 0.1812 | null | [] | 0 | 4 | normal | |
pianomoon/GPQA-llama8b-empirical-val | none | 0.812 | biology | 0.0521 | null | [] | 0 | 44 | normal |
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