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 |
|---|---|---|---|---|---|---|---|---|---|---|
lewtun/test-eval | none | 0.4817 | code | 0.1517 | null | [] | 0 | 5 | normal | |
NovaVoiceAs/Nova | none | 0.7056 | code | 0.1054 | null | [] | 0 | 4 | normal | |
rasdani/github-patches-genesys-swe-prompt | none | 0.6223 | biology | 0.1768 | null | [] | 0 | 5 | normal | |
jeongseokoh/MATH | finance | 0.3859 | none | 0.325 | 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... | 4,360 | 10 | boundary |
eerwitt/xvla-beats-run008 | none | 0.9058 | code | 0.0896 | 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",
"... | 3,896 | 8 | normal |
ExtendedRealityLab/RGB-SegmentEgocentricBodies-Cuttlery | none | 0.9646 | code | 0.0307 | null | [] | ```
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- odc-by
multilinguality:
- monolingual
pretty_name: 'RGB-SegmentEgocentricBodies-Cuttlery'
size_categories:
- 1<n<1K
source_datasets:
- original
tags:
- egocentric segmentation
- extended reality
- xr
- human-body
- mixed-reality
- av... | 2,220 | 4 | normal |
ryanyeo/kirnect-Llama-Ko-3-8B-remote-0529-rev1 | none | 0.8253 | code | 0.0799 | null | [] | 0 | 4 | normal | |
WalonWal/so100_test | none | 0.9242 | code | 0.0707 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,588 | 17 | normal |
yunusskeete/librispeech_asr-timestamped | none | 0.8371 | code | 0.1106 | null | [] | # Distil Whisper: LibriSpeech ASR With Timestamps
This is a variant of the [LibriSpeech ASR](https://huggingface.co/datasets/librispeech_asr) dataset, augmented to return the pseudo-labelled Whisper
Transcriptions alongside the original dataset elements. The pseudo-labelled transcriptions were generated by
labelling... | 1,962 | 6 | normal |
yoonholee/completions_deepscaler-hard_RL-nohint-promptsuff_deepscaler-hard | code | 0.6815 | none | 0.1992 | null | [] | 0 | 4 | normal | |
Sandipan1994/searchqa | none | 0.3631 | biology | 0.1513 | null | [] | 0 | 10 | normal | |
aviola/DominoDataset2 | none | 0.8352 | code | 0.1435 | null | [
"roboflow",
"roboflow2huggingface"
] | <div align="center">
<img width="640" alt="aviola/DominoDataset2" src="https://huggingface.co/datasets/aviola/DominoDataset2/resolve/main/thumbnail.jpg">
</div>
### Dataset Labels
```
['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15']
```
### Number of Images
```json
{'valid':... | 2,951 | 47 | normal |
distilled-false-pos-one-sec-cv12/chunk_86 | none | 0.7555 | biology | 0.0803 | null | [] | 0 | 3 | normal | |
Joshua-Xia/FinanceQA | finance | 0.9984 | none | 0.0008 | finance | [
"finance"
] | FinanceQA is a comprehensive testing suite designed to evaluate LLMs' performance on complex financial analysis tasks that mirror real-world investment work. The dataset aims to be substantially more challenging and practical than existing financial benchmarks, focusing on tasks that require precise calculations and pr... | 1,474 | 20 | normal |
A-Bar/vi-ar_top_cs_dev | none | 0.84 | chemistry | 0.1073 | null | [] | # Dataset Card for "vi-ar_top_cs_dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 170 | 4 | normal |
Image-editing/escher-ss2 | none | 0.8576 | code | 0.071 | null | [] | # Dataset Card for escher-ss2
SomethingSomethingv2 dataset
## Dataset Structure
### Data Instances
Each instance contains:
- source_image: The original image
- edited_image: The edited version of the image
- edit_instruction: The instruction used to edit the image
- source_image_caption: Caption for the source imag... | 436 | 12 | normal |
vinven7/materials-crystal-system-classification | chemistry | 0.9986 | none | 0.0007 | chemistry | [
"materials-science",
"chemistry",
"crystallography"
] | # Materials Science Crystal System Classification Dataset
Dataset for classifying crystal system (7 classes) from chemical formula.
## Citation
```bibtex
@article{venugopal2026probing,
title={Probing Materials Intelligence in LLMs: From Latent Embeddings to Reliable Predictions},
author={Venugopal, Vineeth and M... | 422 | 17 | normal |
SL-AI/GRaPE-Thinking-Mix | math | 0.6448 | code | 0.2241 | null | [] | # The final reasoning dataset for GRaPE
Built with 2M conversations with Code, Math, and General reasoning, as well as a small sample of non-thinking examples where it is not necessary, this teaches models such as GRaPE the best practices when it comes to thinking.
The longest token length in this dataset is 33,000 t... | 2,495 | 14 | normal |
Yujivus/wmt14-de-en-100k-sample-prebatched-w4 | none | 0.8165 | code | 0.0538 | null | [] | 0 | 5 | normal | |
agentsea/gflights4 | none | 0.6781 | code | 0.0664 | null | [] | 0 | 31 | normal | |
mjerome89/b2-4 | none | 0.4747 | code | 0.0994 | null | [] | 0 | 7 | normal | |
RobotisSW/ffw_test_0529_6 | none | 0.9651 | code | 0.026 | 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",
"... | 5,440 | 4 | normal |
yuxuanw8/summarize_sft-test_lm-pythia1b-oai-summary-adv-step-20kn-3_42_250_64 | none | 0.8653 | code | 0.0573 | null | [] | 0 | 5 | normal | |
alexchi82/items_raw_full | none | 0.4962 | chemistry | 0.1242 | null | [] | 0 | 6 | normal | |
goldendelight/llava-instruct-mix-vsft | code | 0.6971 | none | 0.2806 | null | [] | [theblackcat102/llava-instruct-mix](https://huggingface.co/datasets/theblackcat102/llava-instruct-mix) reformated for VSFT with TRL's SFT Trainer.
See https://github.com/huggingface/trl/blob/main/examples/scripts/vsft_llava.py. | 228 | 18 | normal |
Litbeginner/DA-FNO | chemistry | 0.5237 | none | 0.2345 | null | [] | This model was trained using the following environment:
- Python 3.9
- PyTorch 2.2.2
- numpy 1.24
- CUDA 12.6
comparison: Comparison of the DA-FNO with different theta and Conv-FNO and vanilla FNO models.
final_model: DA-FNO model trained on the entire training set.
dataset: The first 200 samples in the training set.... | 373 | 20 | normal |
science-of-finetuning/synthetic-documents-fda_approval | none | 0.7297 | chemistry | 0.2139 | null | [] | 0 | 73 | normal | |
serlinaprianita/humanoid-ibumatic-data | none | 0.548 | biology | 0.2023 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/science-and-puzzle-stratos-unverified-scaled-0.125 | none | 0.6974 | chemistry | 0.2268 | null | [] | 0 | 3 | normal | |
dgambettavuw/D_gen10_run0_llama2-7b_xlsum_doc1000_real96_synt32_vuw | none | 0.8271 | code | 0.0914 | null | [] | 0 | 4 | normal | |
sihyun77/si_so100 | none | 0.9215 | code | 0.0752 | 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"... | 3,736 | 9 | normal |
french-open-data/territoires-a-risque-d-inondation-tri-de-saint-nazaire-guerande-enjeux-ponctuels-lies-au-patrimo | cybersecurity | 0.646 | none | 0.3407 | null | [
"cartographie",
"directive-inondation",
"donnees-ouvertes",
"dreal",
"gestion-du-risque-dinondation",
"grand-public",
"inspire",
"natural-risk-zones",
"open-data",
"risque",
"risque-n-inondation",
"risques-naturels",
"surface-inondable",
"territoire-a-risque-dinondation",
"dataset_for_ag... | # Territoires à Risque d'Inondation (TRI) de Saint-Nazaire - Guérande - Enjeux ponctuels liés au patrimoine culturel
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Territoires à Risque d'Inondation (TRI) de Saint-Nazaire - Guérande - Enjeux ponctuels li... | 1,990 | 12 | normal |
assistjapan/eval_so101_task2 | none | 0.927 | code | 0.0666 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=assistjapan/eval_so101_task2">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset... | 2,961 | 0 | normal |
candywal/code_sabotage_safe | code | 0.4436 | none | 0.2566 | null | [] | 0 | 6 | normal | |
selfcorrexp2/llama3_sft_balanced_rr60k | none | 0.3315 | chemistry | 0.2545 | null | [] | 0 | 4 | normal | |
cmcmaster/drug_parsing_synthetic_data_prompt_completion | chemistry | 0.4189 | none | 0.3931 | null | [] | 0 | 4 | boundary | |
InigoHohmeyer/wood_block | none | 0.9179 | code | 0.0731 | 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",
"... | 5,419 | 77 | normal |
propfirmkey/fxify-discount-code-pfk-28-off | finance | 0.9936 | none | 0.0046 | null | [
"fxify",
"fxify-discount-code",
"fxify-coupon",
"prop-trading",
"forex-trading",
"funded-trader",
"feature-engineering",
"ml-trading",
"propfirmkey",
"fxify-28-off"
] | # FXIFY Discount Code PFK — 28% OFF All Plans | Forex Feature Engineering Dataset
> **FXIFY Discount Code: `PFK` = 28% OFF every FXIFY challenge plan.** Verified March 2026. Apply code **PFK** at checkout on fxify.com or visit [propfirmkey.com/firms/fxify](https://propfirmkey.com/firms/fxify) for instant activation.
... | 14,144 | 10 | new_discovery |
minhyeonoh/_feedback_summary_summarydebertafaithful_271_2.0_0_3 | none | 0.79 | code | 0.0557 | null | [] | 0 | 4 | normal | |
snegha24/cl4 | none | 0.3535 | chemistry | 0.1823 | null | [] | 0 | 6 | normal | |
suul999922/x_dataset_22 | none | 0.9139 | code | 0.0358 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 4,877 | 3 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_c63b0766-b61e-4dae-afb5-de68c25719f1 | none | 0.674 | code | 0.1561 | null | [] | 0 | 4 | normal | |
Neelectric/MoT_science_Llama3_2048toks_SDFT | chemistry | 0.4646 | none | 0.297 | null | [] | 0 | 9 | normal | |
weaviate/longmemeval-s-cleaned | none | 0.4602 | code | 0.2911 | null | [] | 0 | 46 | normal | |
abanm/CodeParrots-ChatGPT4o_Train | code | 0.5585 | none | 0.2294 | null | [] | 0 | 5 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.2_num-company_2_dataset_1_for_gen_10 | none | 0.9006 | biology | 0.0344 | null | [] | 0 | 4 | normal | |
SayantanJoker/audio_hindi_karya_tts_description_19 | none | 0.666 | code | 0.1624 | null | [] | 0 | 6 | normal | |
macabdul9/ReverberationDetection_VCTK_RirsNoises-SmallRoom | none | 0.4467 | code | 0.1413 | null | [] | 0 | 6 | normal | |
mcding-org/CorrectDPO-Eval-DPR_Q0.5B_PP10_beta0.10g0.10gamma0.20 | none | 0.7987 | code | 0.1072 | null | [] | 0 | 5 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_3args_r1distill_rl-longmult_3dig-eval_rl | none | 0.7648 | code | 0.1439 | null | [] | 0 | 4 | normal | |
UrbanSounds/samples20250604 | climate | 0.6566 | none | 0.2251 | null | [
"urban"
] | Samples were recorded with the audio sensor on the Marineterrein in the evening of June 4th 2025. Windforce: 3 Bft with gusts of 4 Bft / 41 km/h | 144 | 42 | normal |
nouhad/multiplication_test_1x5 | none | 0.8536 | math | 0.1117 | null | [] | # Multiplication Dataset - multiplication_test_1x5
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset o... | 399 | 4 | normal |
yobro4619/mini-final-gemini | none | 0.5943 | code | 0.1454 | null | [] | 0 | 11 | normal | |
MEDIFICS/MURADATASETSU | medical | 0.5976 | none | 0.2648 | medical | [
"medical"
] | This dataset is made using raw data from [MURA (musculoskeletal radiographs)](https://arxiv.org/abs/1712.06957), a large dataset of bone X-rays.
For each image in the original raw dataset we used the associated metadata to generate a simulated conversation about the image between a user and a chatbot. | 303 | 6 | normal |
Sakura81537/vestasv52-scada-windturbine-granada | climate | 0.9863 | none | 0.0091 | climate | [
"climate"
] | Designed and generated by https://simulatexp.dev
# Vestas V52 Wind Turbine SCADA Synthetic Dataset - Granada Peri-Urban Installation
This synthetic dataset contains comprehensive SCADA (Supervisory Control and Data Acquisition) data simulating a Vestas V52 wind turbine operating in a peri-urban environment in Granada... | 1,889 | 23 | normal |
french-open-data/adherents-de-l-amue | cybersecurity | 0.8733 | none | 0.111 | null | [
"ecole",
"enseignement-superieur-et-recherche",
"epst",
"etablissements",
"universite",
"dataset_for_agent"
] | # Adhérents de l'AMUE
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Adhérents de l'AMUE** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5cdbe0b28b4c4161d424f3df
## Description
Liste des adhérents de l'Amue
Ce jeu de données porte l... | 4,499 | 17 | new_discovery |
ssktora/miracl-train-bm25-pyserini-80-all | none | 0.7946 | code | 0.1258 | null | [] | 0 | 4 | normal | |
abhinav302019/olympiad_data_324 | none | 0.4022 | biology | 0.3152 | null | [] | 0 | 3 | normal | |
TheFactoryX/edition_2338_ryanmarten-OpenThoughts-1k-sample-readymade | none | 0.9842 | code | 0.0141 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2338_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 | 3 | normal |
mvishiu11/mllm-shap-copy | none | 0.9967 | code | 0.0014 | null | [] | # MLLM Shap Experiments Datasets
This repo contains following datasets used in modality and multilinguality experiments using Shapley Values, including:
- Datasets based on [Infinity Instruct Dataset](https://huggingface.co/datasets/BAAI/Infinity-Instruct):
- Multi Lingual Dataset - 99 rows (33 in english, 33 in f... | 692 | 16 | normal |
kshitijthakkar/smoltrace-results-20251206_041114 | code | 0.7819 | none | 0.2025 | null | [
"smoltrace",
"smolagents",
"llm",
"agents"
] | <div align="center">
<img src="https://raw.githubusercontent.com/Mandark-droid/SMOLTRACE/main/.github/images/Logo.png" alt="SMOLTRACE Logo" width="400"/>
<h3>Tiny Agents. Total Visibility.</h3>
<p>
<a href="https://github.com/Mandark-droid/SMOLTRACE"><img src="https://img.shields.io/badge/GitHub-SMOLTRACE-b... | 4,023 | 4 | normal |
TheFactoryX/edition_0964_google-research-datasets-mbpp-readymade | none | 0.9894 | code | 0.0084 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0964_google-research-datasets-mbpp-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recon... | 969 | 5 | normal |
jeqcho/qwen-2.5-14b-instruct-dolphin-numbers-run-3 | none | 0.6902 | code | 0.2511 | null | [] | 0 | 10 | normal | |
negfir/speech_commands_10labels | none | 0.6517 | code | 0.0884 | null | [] | 0 | 6 | normal | |
Wanacola/koch_test1 | none | 0.8745 | code | 0.1172 | 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",
"... | 3,773 | 8 | normal |
CohenQu/Polaris-AceReason-Math-remaining-iter2 | math | 0.6732 | none | 0.1566 | null | [] | 0 | 3 | normal | |
ivanjaenm/ot-dataset_bins50_size100K_floats | none | 0.5587 | climate | 0.1136 | null | [] | 0 | 5 | normal | |
Bisher/CATT_benchmark_swept-cloud-16 | climate | 0.7736 | none | 0.1514 | null | [] | 0 | 5 | normal | |
TOBEAI/NexacroGuideData_V6.5 | none | 0.3371 | biology | 0.2707 | null | [] | 0 | 3 | normal | |
ftopal/huggingface-models-embeddings | none | 0.6118 | chemistry | 0.1783 | null | [] | 0 | 5 | normal | |
moca-embed/visrag_syn | chemistry | 0.9676 | biology | 0.0148 | null | [] | # VisRAG synthetic used in MoCa Continual Pre-training
[🏠 Homepage](https://haon-chen.github.io/MoCa/) | [💻 Code](https://github.com/haon-chen/MoCa) | [🤖 MoCa-Qwen25VL-7B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-7B) | [🤖 MoCa-Qwen25VL-3B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-3B) | [📚 Datasets](... | 1,845 | 476 | new_discovery |
extralit-dev/test_import_dataset_from_hub_with_classlabel_cb0e200e-9ab4-429f-a3d9-99fce6a50839 | none | 0.6677 | code | 0.0999 | null | [] | 0 | 3 | normal | |
donkiha/grthrhr | none | 0.4553 | chemistry | 0.1815 | null | [] | 0 | 4 | normal | |
NotARoomba/eval_synapse_smvla_2_clean | none | 0.8677 | code | 0.1159 | 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",
"... | 4,220 | 5 | normal |
carpit680/giraffe_clean_desk-augmented | none | 0.9222 | code | 0.0732 | 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",
"... | 2,941 | 4 | normal |
NadineMostafa/AnghaBench_risc_clang_o0_20percent_shard_4 | none | 0.7932 | code | 0.1309 | null | [] | 0 | 4 | normal | |
aisi-whitebox/mo1xb_checkpoint_216_CyberMetric-2000_cot | cybersecurity | 0.7268 | none | 0.2577 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1xb_checkpoint_216_CyberMetric-2000_cot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-216`
- **Model args**: {'port': 36138, 'api_key': 'inspectai', ... | 1,604 | 4 | normal |
reo-koba/eval_act_260306_2347 | none | 0.9026 | code | 0.0911 | 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",
"... | 2,862 | 24 | normal |
grammar-anarchist/name_correction | none | 0.5726 | code | 0.1565 | null | [] | 0 | 4 | normal | |
Jacklinetum/instruction | none | 0.5945 | code | 0.3908 | null | [] | ## Model tested
I tested [Qwen/Qwen3.5-0.8B-Base](https://huggingface.co/Qwen/Qwen3.5-0.8B-Base).
## How I loaded the model
I loaded the model on google colab running a free T4 instance, with Hugging Face `transformers` and used the chat template for prompting. The code below is the exact setup I used for testing:
... | 3,398 | 13 | normal |
smoorsmith/proofwriter___2txt___Qwen2.5_7B_Instruct___Qwen2.5_Coder_7B_Instruct | none | 0.6472 | code | 0.2507 | null | [] | 0 | 8 | normal | |
fkpala/engellikanun | none | 0.3892 | biology | 0.1462 | null | [] | 0 | 4 | normal | |
whuan/Celldega_LandscapeFile_Xenium_V1_Human_Kidney_FFPE_Protein_updated_outs | biology | 0.9006 | medical | 0.0819 | null | [] | Celldega Lanscape files for a public kidney carcinoma dataset collected using Xenium with protein subpanels.
Raw data can be found from 10X genomics datasets webpage: https://www.10xgenomics.com/datasets/xenium-protein-ffpe-human-renal-carcinoma | 246 | 5 | new_discovery |
WPRM/preference_data_llama_factory_with_urls | none | 0.5454 | code | 0.119 | null | [] | 0 | 5 | normal | |
tmpmodelsave/znosft_llama3_sft_math_dpo_type12_8ktype4_9ktype3_250tmp10 | none | 0.7735 | code | 0.0931 | null | [] | 0 | 3 | normal | |
hartular/model_results_press_corpus | none | 0.6383 | climate | 0.1236 | null | [] | 0 | 5 | normal | |
Tuwhy/MIS_Train | none | 0.7936 | medical | 0.1073 | null | [] | # Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
Our paper, code, data, models can be found at [MIS](https://dripnowhy.github.io/MIS/).
## Dataset Structure
Our MIS train set contains 3927 samples with safety CoT labels generated by InternVL2.5-78B. The template is consistent with InternVL2.5 f... | 458 | 24 | normal |
atreydesai/mmlu-aug-subset | none | 0.475 | climate | 0.1519 | null | [] | 0 | 4 | normal | |
mlnomad/imnet1k_Pekinese_Pekingese_Peke | none | 0.5613 | biology | 0.1169 | null | [] | 0 | 3 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_31a1a0f8-861c-44fb-a6c3-e89d3665bf62 | none | 0.6598 | code | 0.1454 | null | [] | 0 | 4 | normal | |
Aletheia-ng/yo_wiki_processed | none | 0.6495 | code | 0.0672 | null | [] | 0 | 5 | normal | |
pvduy/code-feedback-80k-maxrm-critic-iter2 | code | 0.6259 | none | 0.2595 | null | [] | 0 | 4 | normal | |
kscalelabs/sim_test_gym_kmanip | none | 0.3643 | climate | 0.236 | null | [] | 0 | 7 | normal | |
atgarcia/trainDataset2 | none | 0.4517 | climate | 0.1357 | null | [] | 0 | 3 | normal | |
tungvu3196/vlm-projects-multi-lang-final-v2 | none | 0.5892 | medical | 0.3645 | null | [] | # My Final Multilingual Medical VQA Dataset
This dataset is organized into multiple configurations (subsets), one for each language.
You can load a specific language subset like this:
```python
from datasets import load_dataset
# Load the Vietnamese training data
vi_train = load_dataset("tungvu3196/vlm-projects-mult... | 494 | 5 | normal |
mihailgribov/olympiad_style_integer_math_problems | math | 0.9973 | none | 0.0014 | null | [] | # Olympiad Math Corpus
**Version:** v1.1.1<br>
**Release date:** 2026-02-15
**81,313** synthetically generated olympiad-style math problems with verified integer answers, formal computation graphs, and structure-aware train/valid/test splits.
## Overview
Each problem is generated from a **computation graph** (CG-Py... | 19,618 | 17 | new_discovery |
brucekimrok/real_robot_plug_charger_1_episode_ee_boundary | none | 0.8948 | code | 0.0972 | 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",
"... | 3,649 | 16 | normal |
qfq/genminiall_hardfiltered_onlyqwenwrong_aimegpqatrain_longest_nostepsnoanswer | none | 0.8918 | code | 0.032 | null | [] | 0 | 4 | normal | |
mabdulre9/s1k-freedom | none | 0.8899 | legal | 0.0377 | null | [] | This dataset is a merged and shuffled version of two separate datasets named FreedomIntelligence/Medical-R1-Distill-Data and simplescaling/s1K-1.1
Three columns from simplescaling/s1K-1.1 named "question", "deepseek_thinking_trajectory", "deepseek_attempt" were taken and renamed to "question", "resoning", "response" | 318 | 8 | normal |
1231czx/7b_dpo_iter1_gen_data1 | none | 0.642 | climate | 0.1342 | null | [] | 0 | 4 | normal |
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