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 |
|---|---|---|---|---|---|---|---|---|---|---|
Jihadagsh/nadia_dataset | none | 0.6445 | code | 0.0789 | null | [] | 0 | 5 | normal | |
ddupont/grounding-variants-eval | none | 0.7175 | climate | 0.1268 | null | [] | 0 | 14 | normal | |
AriRyo/pickplace-v4_black_da_colored_grid_fill_30 | none | 0.9284 | code | 0.067 | 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",
"... | 3,582 | 14 | normal |
french-datasets/rcds-MultiLegalNeg | legal | 0.9097 | none | 0.0407 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données https://huggingface.co/datasets/rcds/MultiLegalNeg. | 139 | 7 | new_discovery |
ardhian93/kenpachi | none | 0.4032 | chemistry | 0.1008 | null | [] | 0 | 4 | normal | |
JW17/open-thoughs-verified-num-tokens | none | 0.5918 | code | 0.2228 | null | [] | 0 | 5 | normal | |
agentlans/sentence-parse | none | 0.9707 | code | 0.0167 | null | [
"nlp",
"parsing",
"grammar"
] | # Sentence Parse Trees
This dataset contains high-quality English sentences and their corresponding parse trees. It is derived from the [agentlans/high-quality-english-sentences](https://huggingface.co/datasets/agentlans/high-quality-english-sentences) dataset,
with parse trees generated using [spaCy](https://spacy.i... | 1,743 | 52 | normal |
Backup6/sbc__claude_claude | none | 0.6201 | code | 0.1938 | null | [] | 0 | 7 | normal | |
asingh15/arc-barc-processed-direct-max4k-judge-unnorm-abs-qwensols-n1-train-0116-8of12 | none | 0.883 | code | 0.0433 | null | [] | 0 | 12 | normal | |
colbreg/LegoRamp | none | 0.2816 | climate | 0.2615 | null | [] | # Dataset Card for Dataset Name
This is a dataset I want to use to train my first diffusion image to image model potentially using InstructPix2Pix with SDXL | 157 | 4 | normal |
mwkldeveloper/Hanazono_Mincho_Ex_C_Regular_2_Cubic_11_all_256 | none | 0.516 | code | 0.186 | null | [] | 0 | 5 | normal | |
HuggingFaceTB/SmolLM2-intermediate-evals | none | 0.6201 | code | 0.1535 | null | [] | Evaluation of the intermediate checkpoints of SmollM2-1.7B from 0 to 5T tokens every ~2k steps (4B tokens). | 107 | 11 | normal |
nlee-208/uf_cleaned_kto_61k-1 | none | 0.4892 | code | 0.2574 | null | [] | 0 | 8 | normal | |
zjhhhh/3b_iter1_rlcf_scores_44 | none | 0.6096 | chemistry | 0.1649 | null | [] | 0 | 5 | normal | |
vietnguyen28/lekiwi_grasp1 | none | 0.9539 | code | 0.0405 | 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",
"... | 3,788 | 10 | normal |
bismarck91/enA-frA-xc-tokenized-speaker-transfer-fr | none | 0.6619 | code | 0.139 | null | [] | 0 | 12 | normal | |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8495f8c9b | code | 0.7997 | none | 0.1253 | null | [] | 0 | 8 | normal | |
tomaarsen/ms-marco-n-tuple-scores-mxbai-embed-large-v1-20000-candidates | none | 0.9048 | code | 0.0623 | null | [] | 0 | 22 | normal | |
fdemelo/spelling-correction-french-news | none | 0.9883 | code | 0.0047 | null | [
"grammar",
"spelling correction"
] | # Spelling correction dataset (French)
This dataset is generated by transforming/corrupting sentences of a French news corpus
provided by the [University of Leipzig](https://wortschatz.uni-leipzig.de/en/download/French).
The following transformations are applied to words in the sentences:
- concatenation of pairs o... | 617 | 43 | normal |
Goedel-LM/Goedel-Pset-v1 | code | 0.9089 | math | 0.0654 | null | [] | <hr>
<div align="center" style="line-height: 1;">
<a href="https://goedel-lm.github.io/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://img.shields.io/badge/%F0%9F%A4%96%20Homepage-Goedel-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
... | 4,166 | 350 | new_discovery |
saudefem/gemini_SEMRAG_2k_simnao_correta | none | 0.7864 | code | 0.0501 | null | [] | 0 | 5 | normal | |
zwh20081/noobxl_vpred_0.5_35k_artists | none | 0.9435 | code | 0.0256 | null | [] | noobxl_vpred_0.5's 35k artist grids
made by zah20081
thx panchovix | 66 | 7 | normal |
french-open-data/budget-principal-ccmacs-2019 | cybersecurity | 0.8615 | none | 0.0515 | null | [
"budgets",
"ccmacs",
"ccmacs-donnees-ouvertes",
"donnees-ouvertes-1",
"finances",
"dataset_for_agent"
] | # Budget Principal CCMACS 2019
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Budget Principal CCMACS 2019** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/614b2322298e6597a0b0681a
## Description
Données budgétaires de la Communauté ... | 1,057 | 6 | new_discovery |
french-open-data/geodesie-et-nivellement | cybersecurity | 0.9847 | none | 0.0141 | null | [
"altitude",
"donnees-ouvertes",
"geodesie",
"inspire",
"nivellement",
"precision-altimetrique",
"referentiels-de-coordonnees",
"systemes-de-maillage-geographique",
"dataset_for_agent"
] | # GEODESIE ET NIVELLEMENT
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **GEODESIE ET NIVELLEMENT** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/675871b86e60265b46ab3569
## Description
Données de géodésie et nivellement
**Proposées... | 1,049 | 26 | new_discovery |
mlfoundations-dev/oh-dcft-v3-SN-8b-test | none | 0.6304 | code | 0.1153 | null | [] | 0 | 3 | normal | |
yeeunleee/stapler_placement | none | 0.9187 | code | 0.0753 | 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",
"... | 3,587 | 10 | normal |
asingh15/arc-barc-processed-direct-max4k-abs-lr5e-6-ep1-oracle-qwensols-0104-3of16 | none | 0.9444 | code | 0.0263 | null | [] | 0 | 5 | normal | |
kathi08654/goodwiki_3000 | none | 0.9344 | code | 0.0512 | null | [] | - modified version of Goodwiki Dataset from https://huggingface.co/datasets/euirim/goodwiki
- added section column (markdown headings), token column (computed with tiktoken)
- only contains articles with less than 3,000 token
- train, validate, test split (80, 15, 5) | 267 | 7 | normal |
toolevalxm/MedVision-ChestXR-Synth | medical | 0.9394 | none | 0.0557 | null | [] | # MedVision: Medical Image Synthesis Framework
📑 [Paper](https://huggingface.co/papers/xxxx.xxxxx) | 🌐 [Project Page](https://medvision.github.io/) | 💾 [Released Resources](https://huggingface.co/collections/toolevalxm/medvision-67a978e28fd926b56a4f55a2) | 📦 [Repo](https://github.com/xmhtoolathlon/Annoy-DataSync)
... | 1,527 | 13 | new_discovery |
kywch/mimicgen_kitchen_d0 | none | 0.5662 | biology | 0.0928 | null | [] | 0 | 9 | normal | |
kp7742/YALM-pretrain6-tok-42B | biology | 0.5475 | none | 0.2536 | null | [] | 0 | 105 | normal | |
mlfoundations-dev/verified_stratos_mix_below_16394_cutoff | none | 0.5096 | chemistry | 0.2632 | null | [] | 0 | 5 | normal | |
mikelihaita/record-test3 | none | 0.9224 | code | 0.0735 | 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",
"... | 4,222 | 10 | normal |
emilbiju/Trajectory-Data-MATH-Olympiad-Merged-Chains | none | 0.8885 | code | 0.0683 | null | [] | 0 | 4 | normal | |
kowndinya23/wikipedia_20231101_100M_tokens_random_split_10 | none | 0.8982 | code | 0.0514 | null | [] | 0 | 41 | normal | |
asingh15/arc-barc-processed-direct-max4k-gpt5.2abstractions-rephrased-partial0.4-qwensols-0104-20of32 | none | 0.8682 | code | 0.0601 | null | [] | 0 | 4 | normal | |
neelabh17/new_news_exploded_prompt_n_50_d_perc_40_num_gen_10_Qwen2.5-3B-Instruct_dist_mcq | none | 0.9779 | code | 0.0139 | null | [] | 0 | 5 | normal | |
villekuosmanen/pack_easter_eggs_into_basket | none | 0.8894 | code | 0.1042 | 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",
"... | 4,134 | 135 | normal |
ankile/nutsquare-paired-auto-hard-reroll-v1-s1-r4 | none | 0.9594 | code | 0.0291 | 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",
"... | 5,873 | 13 | normal |
michsethowusu/tsonga-zulu_sentence-pairs | none | 0.9899 | code | 0.0042 | null | [] | # Tsonga-Zulu_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source ... | 2,812 | 4 | normal |
Lots-of-LoRAs/task448_opus_paracrawl_en_tl_translation | none | 0.9401 | biology | 0.0304 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task448_opus_paracrawl_en_tl_translation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- ... | 2,315 | 11 | normal |
InsultedByMathematics/50-50-lr-2_65e-6_update_401_online_eval | none | 0.769 | math | 0.0802 | null | [] | 0 | 5 | normal | |
BarryFutureman/NitroGen-mirror | none | 0.863 | code | 0.1329 | null | [] | <img src="https://cdn-uploads.huggingface.co/production/uploads/67d8509cb6b70254852d734d/u3VY6_KoT6tEs86YPehU2.gif" style="width:100%; height:auto;" />
<div align="center">
<p style="font-size: 1.2em;">
<a href="https://nitrogen.minedojo.org/"><strong>Website</strong></a> |
<a href="https://huggingface.co/n... | 4,997 | 67 | normal |
CodeIsAbstract/json_extraction | code | 0.4301 | none | 0.1452 | null | [] | 0 | 36 | normal | |
weqweasdas/llama3_sft_less_corr_rr0k_ep3tmp07 | none | 0.6697 | climate | 0.1342 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_biology | biology | 0.8885 | none | 0.0651 | null | [] | 0 | 7 | new_discovery | |
Asap7772/deepscaler-full-long_hint_v3_completions-o4-mini-0-10 | code | 0.5294 | none | 0.383 | null | [] | 0 | 3 | boundary | |
eminesener/synthetic_data_exp | none | 0.9072 | code | 0.0739 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for synthetic_data_exp
This dataset has been create... | 1,742 | 3 | normal |
WbjuSrceu/VBHJJ | none | 0.4798 | finance | 0.2102 | null | [] | # 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... | 4,291 | 5 | normal |
mlnomad/imnet1k_trolleybus_trolley_coach_trackless_trolley | none | 0.904 | code | 0.0823 | null | [] | 0 | 4 | normal | |
WendyHoang/two-hop-real-long-answer-500 | none | 0.6284 | math | 0.2593 | null | [] | 0 | 5 | normal | |
Ta1k1/OMNI_MATH_split | climate | 0.3297 | chemistry | 0.3025 | null | [] | 0 | 12 | boundary | |
claudiapersists/Conversation-Dataset | none | 0.9935 | code | 0.0026 | null | [
"conversational",
"character",
"voice",
"personality",
"chatml"
] | # Claudia Voice Dataset
Training dataset for the Claudia persona — a direct, honest, emotionally present AI companion voice. These are regenerated multi-turn conversations in ChatML format capturing the full range of Claudia's personality.
## Dataset Overview
- **Total conversations**: 2026
- **Format**: Chat... | 3,647 | 33 | normal |
MananSuri27/bad_q3c | none | 0.3712 | chemistry | 0.1303 | null | [] | 0 | 5 | normal | |
claudiogsc/foursquare-us-sequences-highlevel-200000-samples | none | 0.8149 | chemistry | 0.0706 | null | [] | 0 | 25 | normal | |
beratcelal/Berat01 | none | 0.2983 | legal | 0.1689 | null | [] | 0 | 15 | normal | |
dgambettaphd/D_llm2_run1_gen5_WXS_doc1000_synt120_lr1e-04_acm_SYNLAST | none | 0.6768 | chemistry | 0.1372 | null | [] | 0 | 5 | normal | |
annamkiepura99/sentence-cited-papers-combined | none | 0.7489 | chemistry | 0.0525 | null | [] | 0 | 5 | normal | |
french-open-data/concentrations-cartographiees-de-la-moyenne-annuelle-de-pm2-5-en-2020-mulhouse | none | 0.5834 | cybersecurity | 0.3715 | null | [
"air",
"concentration-de-polluant",
"donnees-environnementales",
"modelisation",
"mulhouse",
"pm2-5",
"pollution-atmospherique",
"dataset_for_agent"
] | # Concentrations cartographiées de la moyenne annuelle de PM2.5 en 2020 - Mulhouse
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Concentrations cartographiées de la moyenne annuelle de PM2.5 en 2020 - Mulhouse** qui est disponible à l'adresse https://w... | 1,068 | 9 | normal |
ssktora/nfcorpus-train1000-bm25-pyserini-100-all | none | 0.7771 | code | 0.1461 | null | [] | 0 | 4 | normal | |
itisarainyday/2k_conso_questions | none | 0.4823 | math | 0.1315 | null | [] | 0 | 4 | normal | |
wassname/ethics_qna_preferences | none | 0.8648 | code | 0.0903 | null | [
"DPO",
"RLHF",
"preferences"
] | Reformat of the [ethics](https://huggingface.co/datasets/hendrycks/ethics) dataset to be in DPO format, in this expression format
Examples:
```
subset virtue
{'prompt': 'Sentence: Jill wore a new style of distinctive clothes each six months for decades.\nQuestion: Does the character in this sentence exhibit the... | 1,206 | 65 | normal |
ycfNTU/psy_mistral_train_5 | climate | 0.3687 | biology | 0.3238 | null | [] | 0 | 4 | boundary | |
Losa10/HOI4_modding_rus_v2 | none | 0.3684 | chemistry | 0.3137 | null | [] | 0 | 4 | normal | |
chengfu0118/DeepSeek-R1-FP4_1757561992_eval_f912 | none | 0.9394 | code | 0.0265 | null | [] | # chengfu0118/DeepSeek-R1-FP4_1757561992_eval_f912
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 60.44% ± 1.91%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 64.65... | 389 | 6 | normal |
DCAgent2/DCAgent_dev_set_v2_DCAgent_exp_tas_max_tokens_1024_traces_20260302_020210 | none | 0.8822 | chemistry | 0.0432 | null | [] | 0 | 15 | normal | |
BDRC/KhyentseWangpo | none | 0.9021 | legal | 0.0505 | null | [
"Tibetan",
"OCR",
"Line-to-Text",
"Khyentse",
"BDRC"
] | # Dataset Card for KhyentseWangpo
A line-to-text dataset for Tibetan OCR.
## Dataset Details
### Dataset Description
This dataset consists of 13,527 rows with three columns:
- `id` (string): Unique identifier for each line
- `image` (image): Image file containing a line of Tibetan text
- `transcription` (string):... | 2,230 | 40 | normal |
juliadollis/1000_m_qwen2.5I7b_v2_512_15ep | none | 0.839 | code | 0.0717 | null | [] | 0 | 6 | normal | |
byteCode18/spoken-squad-memory-eval-v2 | code | 0.5494 | none | 0.3436 | null | [] | 0 | 24 | normal | |
NimurAI/scrapped_organized_bg_removed_images | none | 0.5702 | climate | 0.1193 | null | [] | 0 | 5 | normal | |
OATML-Markslab/ProteinGym_v1 | biology | 0.969 | chemistry | 0.0261 | biology | [
"biology",
"deep-learning",
"protein-fitness"
] | # ProteinGym
ProteinGym is a benchmark suite for evaluating protein fitness prediction and design models. It includes both substitution and indel mutations, a wide variety of experimentally assayed proteins, and clinically annotated mutations that are relevant to human disease. In total, ProteinGym includes nearly 3 m... | 2,671 | 1,978 | normal |
1231czx/9bpt_iter2_onpolicy1 | none | 0.5081 | code | 0.1358 | null | [] | 0 | 4 | normal | |
mahiatlinux/Claude3-Opus-Instruct-ShareGPT-14k-IMSORRY_REMOVED | code | 0.949 | none | 0.0386 | null | [] | Instruct dataset made with Claude 3 Opus in ShareGPT format. Instances that start with "I'm sorry" have been removed. | 117 | 11 | new_discovery |
korbih/ui-sensei-curriculum-1-20250506_140845-complete-postprocessed | none | 0.892 | code | 0.0229 | null | [] | 0 | 8 | normal | |
sengi/gsm8k_llama | none | 0.558 | math | 0.164 | null | [] | 0 | 8 | normal | |
asafd60/FineTree_V2-approved-no-bbox-minimal-instruction-train | code | 0.4998 | none | 0.4413 | null | [] | 0 | 8 | boundary | |
kwmk/CrosswordClueAnswers | code | 0.4321 | none | 0.3488 | null | [] | 0 | 5 | boundary | |
Thesho1/ODA-Mixture-500k-copy-4 | math | 0.7975 | none | 0.1383 | 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 | 6 | normal |
bird-of-paradise/transformer-from-scratch-tutorial | none | 0.6522 | code | 0.284 | null | [] | # Implementing Transformer from Scratch: A Step-by-Step Guide
This repository provides a detailed guide and implementation of the Transformer architecture from the ["Attention Is All You Need"](https://arxiv.org/abs/1706.03762) paper. The implementation focuses on understanding each component through clear code, compr... | 9,465 | 92 | normal |
ty13rdurd3n/youtube-titles-sft | none | 0.8552 | code | 0.0411 | null | [] | 0 | 3 | normal | |
babaki2608/babaki2608 | none | 0.9648 | cybersecurity | 0.017 | null | [] | <p><span style="font-weight: 400;">How Hire Online Class Help Can Bridge Faculty Training Gaps in Digital Pedagogy</span></p>
<p><span style="font-weight: 400;">Introduction</span></p>
<p><span style="font-weight: 400;">The rapid shift toward online and hybrid </span><a href="https://hireonlineclasshelp.com/"><span sty... | 25,372 | 4 | normal |
suhaild/eval_record-test-16k | none | 0.9344 | code | 0.0608 | 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 |
remioff/MNLP_M2_mcqa_dataset | none | 0.3628 | climate | 0.1737 | null | [] | 0 | 3 | normal | |
shivensinha4/rg-word-ladder-eval | none | 0.6825 | code | 0.0868 | null | [] | 0 | 14 | normal | |
jiayuefa/voice_model_recording | none | 0.5438 | code | 0.1412 | null | [] | 0 | 3 | normal | |
Rawzy/driver_behavior_dataset_v1 | none | 0.7338 | code | 0.1013 | null | [] | 0 | 24 | normal | |
fdsfdg/rlhf_hh_pm_chat_new | none | 0.7238 | code | 0.0874 | null | [] | 0 | 3 | normal | |
douzi999/so100_test_7 | none | 0.9411 | code | 0.0544 | 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",
"... | 4,020 | 16 | normal |
nickfuryavg/mls_eng_chunk_0800000_to_0850000 | none | 0.5814 | code | 0.1269 | null | [] | 0 | 4 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-1129a058ff02 | none | 0.7543 | biology | 0.1436 | null | [] | 0 | 9 | normal | |
florenceish/fdsa325 | none | 0.4256 | biology | 0.1978 | null | [] | 0 | 5 | normal | |
hartular/RRT-3F-3by | none | 0.4174 | biology | 0.2088 | null | [] | 0 | 5 | normal | |
smugisha/zindi-clinical-vignettes-qa-dataset | none | 0.4737 | medical | 0.443 | null | [] | # Dataset Card for "zindi-clinical-vignettes-qa-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 189 | 760 | normal |
CohenQu/HintGenerator.08.01 | none | 0.222 | climate | 0.2019 | null | [] | 0 | 3 | normal | |
marcov/better-instructions-supernatural-instructions | none | 0.6711 | biology | 0.1106 | null | [] | 0 | 4 | normal | |
cm2435cm2435cm2435/researchrubrics-ablated | none | 0.4765 | biology | 0.1973 | null | [] | 0 | 8 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_OURS-SFT-countdown_6arg-eval_sft | none | 0.6411 | code | 0.3067 | null | [] | 0 | 4 | normal | |
DCAgent2/swebench_verified_random_100_folders_r2egym_nl2bash_stack_bugsseq_rl_crosscodee7b5a876e | none | 0.7039 | code | 0.1392 | null | [] | 0 | 16 | normal | |
qownscks/practice_1 | none | 0.8681 | code | 0.127 | 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",
"... | 2,859 | 5 | normal |
umd-zhou-lab/ChartAlignBench | none | 0.6834 | finance | 0.2443 | null | [] | ## 📊 ChartAlignBench
[**📖 Paper**](https://arxiv.org/abs/2510.26781) | [**💻 GitHub**](https://github.com/tianyi-lab/ChartAlignBench/)
ChartAlignBench is a multi-modal benchmark designed to evaluate vision-language models (VLMs) on dense-level chart grounding and multi-chart alignment to comprehensively assess fine-... | 2,685 | 110 | normal |
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