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 |
|---|---|---|---|---|---|---|---|---|---|---|
DanqingZ/eval_policy_test_0615_1 | none | 0.9063 | code | 0.0848 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 4,217 | 4 | normal |
hinoarashi/stack_sml_dishes_on_shelf_for_pi05_v2 | none | 0.9298 | 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",
"... | 4,766 | 133 | normal |
Eloonwu/so100_test | none | 0.4721 | climate | 0.1926 | null | [] | 0 | 11 | normal | |
abdesedd/shard_32 | none | 0.3958 | chemistry | 0.1663 | null | [] | 0 | 5 | normal | |
mattpidden/so101-dataset-act | none | 0.9461 | code | 0.0475 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=mattpidden/so101-dataset-act">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset... | 3,339 | 43 | normal |
reasoning-proj/exp_rob_dfiltered_logic_Phi-4-reasoning-plus_mneutral_add_random_text_t90 | math | 0.4367 | none | 0.391 | null | [] | 0 | 5 | boundary | |
lerobot-data-collection/human_new_10 | none | 0.9321 | code | 0.0616 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=lerobot-data-collection/human_new_10">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this... | 4,333 | 19 | normal |
Dolphin42/7B-pfc-prompted-skip-fixed-7bdata-cot-1086 | none | 0.8943 | biology | 0.0632 | null | [] | 0 | 10 | normal | |
gabinsane/CdSpritesplus | chemistry | 0.5667 | none | 0.2845 | null | [] | CdSprites+ is a synthetic bimodal dataset, designed specifically for comparison of the joint- and cross-generative capabilities of multimodal VAEs. This dataset extends the dSprites dataset with natural language captions and additional features and offers 5 levels of difficulty (based on the number of attributes) to fi... | 468 | 19 | normal |
crislmfroes/openarm-bimanual-open-microwave-sim-with-pos-rand-oracle-generated-50 | none | 0.8762 | code | 0.1183 | 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",
"... | 3,629 | 13 | normal |
satvikahuja/stack_test_1_2cam | none | 0.7118 | code | 0.2822 | 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 | 9 | normal |
mteb/SpokenQA_SLUE | none | 0.4585 | code | 0.2004 | null | [] | 0 | 7 | normal | |
chandocchi/maltese-puppy-images | none | 0.7592 | biology | 0.1333 | null | [
"imagefolder"
] | # Maltese Puppy Images
A collection of images of adorable white Maltese puppies.
This dataset is structured in the `imagefolder` format and can be used for image classification or fine-tuning diffusion models.
Example usage:
```python
from datasets import load_dataset
dataset = load_dataset("chandocchi/maltese-pu... | 356 | 40 | normal |
advaitjishnani/drone-detection | none | 0.4637 | chemistry | 0.1179 | null | [] | 0 | 13 | normal | |
DataTonic/dark_thoughts_casestudy_r1_scaleway_A3 | none | 0.8072 | climate | 0.0786 | null | [] | 0 | 20 | normal | |
sjcrz/synth-sky-images | climate | 0.4622 | none | 0.4252 | null | [] | # Dataset Card for Synth-Sky-Images
<!-- Provide a quick summary of the dataset. -->
This dataset contains synthetic sky images generated using the Python package pvlib and some image manipulation.
It is being used by me for testing and learning how to use HuggingFace's image dataset capabilities.
## Dataset Details... | 726 | 3 | boundary |
aholovko/pep8_e111_compliance | none | 0.4295 | chemistry | 0.1422 | null | [] | 0 | 4 | normal | |
coggpt/hesai-patent-chunks | none | 0.5305 | chemistry | 0.0898 | null | [] | 0 | 10 | normal | |
electricsheepafrica/electrical-grid-malawi | none | 0.5046 | climate | 0.4508 | null | [
"geospatial",
"electrical-grid",
"malawi",
"infrastructure",
"energy"
] | # Electrical Grid Distribution - Malawi
This dataset provides the distribution of the electrical grid in Malawi based on geographical coordinates.
## Dataset Structure
- `lat`: Latitude of the location.
- `lon`: Longitude of the location.
- `grid_status`: Binary indicator of electrical grid presence (1 for presence,... | 572 | 10 | normal |
CohenQu/HintSol.00.00 | none | 0.2277 | chemistry | 0.2261 | null | [] | 0 | 3 | normal | |
khaled-omar/ai-job-embedding-finetuning | none | 0.5881 | chemistry | 0.1429 | null | [] | 0 | 12 | normal | |
TAUR-dev/D-EVAL__standard_eval_v3__FinEval_16k_fulleval_AT_STAR-SFT-longmult_2dig-eval_sft | none | 0.8405 | code | 0.0873 | null | [] | 0 | 6 | normal | |
KlingTeam/UNICBench | none | 0.9328 | code | 0.0455 | null | [] | # UNICBench Dataset
UNICBench is the benchmark proposed in [UNIC](https://zixuan-ye.github.io/UNIC/), which consists of six video editing tasks, each task containing 20~50 test samples.
## Parts of the UNICBench Dataset
### 1. Stylization
#### Components of Each Sample in Stylization
**Conditions:**
- **caption.tx... | 5,274 | 783 | normal |
arjunsinghyadav2/lego_sort_300ep_03042026 | none | 0.907 | code | 0.0894 | 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"... | 3,733 | 38 | normal |
TheFactoryX/edition_2819_lavita-medical-qa-shared-task-v1-toy-readymade | medical | 0.6347 | none | 0.3441 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2819_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 | 8 | normal |
Nachiket-S/train_dataset | none | 0.3975 | climate | 0.2429 | null | [] | 0 | 4 | normal | |
kiwiio/test_upload_0709 | none | 0.5116 | climate | 0.1868 | null | [] | 0 | 4 | normal | |
hoanganh-bgf/DartReview | none | 0.5337 | climate | 0.1051 | null | [] | 0 | 3 | normal | |
Cognitive-Lab/NayanaIR-MonoBench-gu | none | 0.5941 | code | 0.1492 | null | [] | 0 | 11 | normal | |
mi-crow-team/PL-Mix | none | 0.7609 | medical | 0.168 | null | [] | # PL-Mix: A Balanced Polish-Language Dataset for Prompt Harmfulness Detection
## Dataset Summary
**PL-Mix** is a balanced Polish-language dataset designed for training and evaluating prompt-level harmfulness classifiers.
It contains **1,040 prompts**, evenly split between **harmful (520)** and **unharmful (520)** sam... | 3,742 | 13 | normal |
carlfeynman/Bharat_NanoNFCorpus_ml | none | 0.9627 | code | 0.026 | null | [
"text-retrieval"
] | # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset
## Overview
This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up t... | 1,635 | 5 | normal |
Nate132/Family_Dataset | none | 0.4161 | biology | 0.1799 | null | [] | 0 | 4 | normal | |
test-gen/code_humaneval_qwen2.5-7b_t1.0_n8_tests_humaneval_sft-3b_t0.0_n1 | none | 0.501 | code | 0.4881 | null | [] | 0 | 3 | normal | |
Asap7772/safety_nofix_evalbase_vllmgen__1377_1836 | none | 0.7647 | code | 0.1104 | null | [] | 0 | 4 | normal | |
boopathiraj/Gemma-3-Instruct | none | 0.3806 | code | 0.1729 | null | [] | 0 | 4 | normal | |
ErikaaWang/M_0_generated__gsm8k_model_pool__mistral_rsp | none | 0.4619 | biology | 0.246 | null | [] | 0 | 4 | normal | |
mbodiai/ABB_PandG_20250331_224621 | none | 0.4901 | biology | 0.1901 | null | [] | 0 | 4 | normal | |
BangumiBase/boukyakubatterytv | none | 0.9401 | code | 0.0476 | null | [
"art"
] | # Bangumi Image Base of Boukyaku Battery (tv)
This is the image base of bangumi Boukyaku Battery (TV), we detected 53 characters, 5710 images in total. The full dataset is [here](all.zip).
**Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually... | 17,801 | 1,471 | normal |
HFXM/hh-rlhf-Rule8 | chemistry | 0.3595 | biology | 0.1751 | null | [] | 0 | 5 | normal | |
FlIAmand/Les_fetes_de_fin_d_annee | biology | 0.8442 | none | 0.1378 | null | [] | > [!NOTE]
> Dataset origin: https://web.archive.org/web/20161005024733/http://www.dendraed.com/wp-content/uploads/2012/01/fiche-de-langue-les-fetes-de-fin-annee-taalfiche-De-eindejaarsfeesten.pdf | 195 | 31 | new_discovery |
CL-ETM/procedures_icd | chemistry | 0.5191 | none | 0.2141 | null | [] | 0 | 4 | normal | |
hugonowak/dane-projektowe-09 | none | 0.9273 | code | 0.033 | null | [] | dane-projektowe-09
dane-projektowe-09 | 37 | 7 | normal |
yifehuang97/CoCount-WS-train-v2-acc-selection | none | 0.6425 | code | 0.125 | null | [] | 0 | 5 | normal | |
terens/twitter-sentiment | none | 0.6482 | climate | 0.155 | null | [] | 0 | 5 | normal | |
autoprogrammer/promsec-fixed-codes-0_5b | code | 0.4824 | none | 0.3913 | null | [] | 0 | 7 | boundary | |
haorandai/Gaussian_Noise_Mammal_Mice_Epsilon0.1_20Samples_With20Constraints | none | 0.483 | chemistry | 0.1599 | null | [] | 0 | 6 | normal | |
benghoula/sample_data | none | 0.5439 | chemistry | 0.1248 | null | [] | 0 | 4 | normal | |
ysenarath/moosa2022multilingual-cross-lingual-archived | none | 0.6652 | legal | 0.2853 | null | [] | # Dataset Card for Multilingual Hate Speech Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset card provides information about the Multilingual Hate Speech Dataset, which was originally hosted on Kaggle.
The Multilingual Hate Speech Dataset is a modified version of an original multilingual hate sp... | 6,990 | 18 | normal |
yoonholee/prompt_template_thinking_enabled_ | none | 0.8778 | code | 0.0551 | null | [] | 0 | 4 | normal | |
thomwolf/data_test | none | 0.429 | climate | 0.2413 | null | [] | 0 | 55 | normal | |
TAUR-dev/sft_letter_countdown_5o_1200_end1300 | none | 0.6801 | code | 0.0726 | null | [] | 0 | 5 | normal | |
riversnow/doodles-dataset-prefixed | none | 0.5733 | climate | 0.2804 | null | [] | 0 | 3 | normal | |
andersonbcdefg/lm_instruction_pairs_consistency_labeled | none | 0.5164 | code | 0.1006 | null | [] | 0 | 3 | normal | |
Oxhumanode/Warpcast | cybersecurity | 0.991 | none | 0.006 | cybersecurity | [
"prompt-injection",
"browser-agents",
"ai-safety",
"security",
"html"
] | # Dataset Card for BrowseSafe-Bench
## Dataset Details
### Dataset Description
**BrowseSafe-Bench** is a comprehensive security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTML environments. Unlike prior benchmarks that focus on simple tex... | 6,749 | 51 | normal |
TheFactoryX/edition_1076_mteb-sts12-sts-readymade | none | 0.9585 | code | 0.0371 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1076_mteb-sts12-sts-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[mteb/sts12-sts](https://huggingface.co/datasets/mteb/sts12-sts)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:**
1... | 924 | 5 | normal |
Aashish17405/my-dataset | none | 0.6303 | finance | 0.1581 | null | [
"dataset",
"tabular-data"
] | # My Dataset
This dataset contains the metada.csv.xlsx file with relevant data.
## Dataset Description
This dataset is provided in Excel format (.xlsx) and contains structured tabular data.
## Files
- `metada.csv.xlsx`: Main dataset file in Excel format
## Usage
You can load this dataset using pand... | 623 | 26 | normal |
NathanRoll/cmu-arctic | climate | 0.5568 | biology | 0.22 | null | [] | 0 | 28 | normal | |
mrft/emotion_dataset | none | 0.5235 | climate | 0.1179 | null | [] | 0 | 8 | normal | |
redbellpepper/drivelm7 | none | 0.3926 | biology | 0.3634 | null | [] | 0 | 3 | normal | |
jjjjee/test_code | code | 0.3324 | climate | 0.2294 | null | [] | 0 | 6 | boundary | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_cc0647e4-0b13-45db-a413-8e551b74def3 | none | 0.6023 | code | 0.182 | null | [] | 0 | 3 | normal | |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-4-path-3-n-1000-s-800-e-900 | none | 0.9521 | code | 0.0173 | null | [] | 0 | 5 | normal | |
thubZ9/mats-dataset | none | 0.8886 | code | 0.06 | null | [
"vision-language-models",
"spatial-reasoning",
"mechanistic-interpretability",
"vlm-evaluation",
"truthfulness",
"hallucination"
] | 📄 **Paper**: [arXiv:2509.22674](https://arxiv.org/abs/2509.22674)
🔗 **Code**: [GitHub](https://github.com/thubZ09/mats-spatial-reasoning)
---
## Dataset Statistics
- **Total Examples**: 1020
- **Total Images**: 1,020 (300 VSR + 300 Absurd + 420 Patching)
- **Source**: VSR (Visual Spatial Reasoning) from Cambridge... | 4,653 | 12 | normal |
sadece/sayha | none | 0.9726 | code | 0.0185 | null | [] | # Sayha
## YouTube Video Audio and Subtitles Extraction
Sayha is a tool designed to download YouTube videos and extract their audio and subtitle data. This can be particularly useful for creating datasets for machine learning projects, transcription services, or language studies.
## Features
- Download YouTube vide... | 1,158 | 33 | normal |
freshpearYoon/v3_train_free_concat_19 | none | 0.5299 | climate | 0.1722 | null | [] | 0 | 6 | normal | |
supergoose/flan_combined_task1329_open_subtitles_en_hi_translation | none | 0.9242 | code | 0.0339 | null | [] | 0 | 4 | normal | |
DCAgent2/terminal_bench_2_Kimi_2_5_r2egym_sandboxes_maxeps_32k__Qwen3_8B_20260318_063522 | code | 0.5723 | none | 0.3512 | null | [] | 0 | 7 | normal | |
Allen-UQ/planetoid_nei_search_dataset | none | 0.7299 | climate | 0.1021 | null | [] | 0 | 5 | normal | |
itisarainyday/2k_conso_questions_v19 | none | 0.6046 | math | 0.1163 | null | [] | 0 | 2 | normal | |
U-RIL/eval_diffusion_10e | none | 0.941 | code | 0.0525 | 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",
"... | 2,938 | 9 | normal |
ganadores/ga06 | none | 0.5064 | code | 0.1244 | null | [] | 0 | 4 | normal | |
YYT-t/man_ans_num1_step4reward_curve | none | 0.6852 | code | 0.1682 | null | [] | 0 | 25 | normal | |
LimYeri/Python_Code_Instructions_v2 | code | 0.8619 | climate | 0.0569 | null | [] | 0 | 13 | new_discovery | |
distilled-false-pos-one-sec-cv12/chunk_181 | none | 0.7669 | biology | 0.0964 | null | [] | 0 | 3 | normal | |
legalaspro/so101-pick-and-place-cube-lerobot-50hz | none | 0.8333 | code | 0.1619 | null | [
"so101",
"ros2",
"teleoperation",
"imitation-learning",
"so101-ros-physical-ai",
"pick-and-place",
"multi-camera",
"imititation-learning",
"so101-ros-physicla-ai"
] | ## Dataset Description
- **Homepage:** https://github.com/legalaspro/so101-ros-physical-ai
- **License:** apache-2.0
SO-101 pick-and-place demonstration episodes recorded in ROS 2 Jazzy and stored as rosbag2 (MCAP).
Converted into LeRobot format using the `rosbag_to_lerobot` converter from:
https://github.com/legal... | 4,397 | 63 | normal |
common-pile/data_provenance_initiative | none | 0.8896 | code | 0.0682 | null | [] | # Data Provenance Initiative
## Description
The [Data Provenance Initiative](https://www.dataprovenance.org) is a digital library of supervised datasets that have been manually annotated with their source and license information [ 104, 107 ].
We leverage their tooling to filter HuggingFace datasets, based on a range o... | 2,530 | 119 | normal |
airdropfarmevzla/xrpmis50 | none | 0.4601 | code | 0.1102 | null | [] | 0 | 4 | normal | |
sergiov2000/eval_act_so100_movella_push_c3 | none | 0.94 | code | 0.0565 | 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",
"... | 3,584 | 30 | normal |
Gallavich/dataset_50 | none | 0.9522 | code | 0.0423 | 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",
"... | 3,784 | 29 | normal |
nickfuryavg/mls_eng_chunk_5150000_to_5200000 | none | 0.6443 | code | 0.1253 | null | [] | 0 | 9 | normal | |
eduhk-compling/11538088_YuYan_ | none | 0.9132 | code | 0.0292 | null | [
"audio",
"speech"
] | # Dataset Card for Assignment 2
## Dataset Description (数据集简介)
This is a Chinese speech dataset created for LIN3046 Assignment 2.
It contains 50 short sentences recorded by a native Mandarin speaker.
The data is segmented into individual WAV files and annotated in the metadata.csv file.
* **Total Duration:** > 3 min... | 1,326 | 48 | normal |
hoololi/CalcTrainer_dataset | math | 0.9956 | none | 0.0032 | null | [
"handwritten-digits",
"math-education",
"ocr",
"optical-character-recognition",
"handwriting-recognition"
] | # CalcTrainer Dataset 🧮
Handwritten mathematical answers collected from the [CalcTrainer](https://huggingface.co/spaces/hoololi/CalcTrainer) interactive math training application.
## Dataset Fields
### Core Data
| Field | Type | Description |
|-------|------|-------------|
| `handwriting_image` | Image | H... | 2,434 | 5 | new_discovery |
JaydenTeoh/manhattan | none | 0.8869 | code | 0.0738 | null | [
"world_models"
] | # NextLat Manhattan Tokenized
Tokenized Manhattan random-walk dataset for world modeling evaluation of autoregressive models.
Each example stores a single pretokenized sequence in `input_ids` (list of `int32`), where the sequence format is:
`<start_node> <end_node> <direction_1> ... <direction_n> end`
## Dataset st... | 2,030 | 450 | normal |
Antrugos/namuy_espanish_dataset | legal | 0.8888 | none | 0.0731 | null | [] | # Corpus bilingüe Namuy-wam ↔ Español
Este repositorio contiene un corpus bilingüe Namuy-wam ↔ Español, desarrollado en colaboración con miembros de la comunidad Misak (territorio de Guambia, Silvia - Cauca) y utilizado para el entrenamiento y evaluación de modelos de Procesamiento del Lenguaje Natural (PLN), particul... | 2,266 | 6 | new_discovery |
noisyduck/ffw_bg2_rev4_tm_sort_250903_03 | none | 0.8943 | code | 0.0997 | null | [
"ffw_bg2_rev4",
"robotis"
] | 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",
"... | 4,709 | 20 | normal |
saurabh5/RL0-Code-Data | code | 0.5535 | none | 0.2556 | null | [] | 0 | 6 | normal | |
rafaelcf/ultrafeedback-dpo-sycophant-high-temp-flavor | chemistry | 0.7801 | none | 0.138 | null | [] | 0 | 3 | normal | |
ankile/nutsquare-auto-dagger-flat-v2-softmax32t1-r27 | none | 0.9617 | code | 0.0285 | 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",
"... | 5,670 | 13 | normal |
DCAgent2/DCAgent2_bfcl-parity_laion_GLM-4_6-stackexchange-superuser-32ep-32k_20260227_205737 | none | 0.7679 | code | 0.1852 | null | [] | 0 | 17 | normal | |
stefanocarrera/autophagycode_D_train_Qwen3-8B_lr0.0001_c142_correct_g3 | none | 0.6724 | biology | 0.1277 | null | [] | 0 | 6 | normal | |
sodabori/20250919_SPBoN_32_0_agg_prod_norm_none_per_token_False_clip_True_thres_0.8 | none | 0.7385 | code | 0.1077 | null | [] | 0 | 6 | normal | |
DCAgent2/dcagent-dev-set-71-tasks-mlfoundations-dev-nemo-prism-math-sandboxes-traces-te-14268559 | none | 0.8013 | code | 0.1863 | null | [] | 0 | 11 | normal | |
DBD-research-group/BirdSet | biology | 0.6236 | none | 0.3578 | null | [
"audio classification",
"multi-label classification",
"bird sounds",
"passive acoustic monitoring"
] | # Dataset Description
- **Repository:** [https://github.com/DBD-research-group/BirdSet](https://github.com/DBD-research-group/BirdSet)
- **Paper:** [BirdSet](https://arxiv.org/abs/2403.10380)
- **Point of Contact:** [Lukas Rauch](mailto:lukas.rauch@uni-kassel.de)
## BirdSet
Deep learning (DL) has greatly advanced aud... | 17,805 | 5,526 | normal |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754642736_eval_3444_gpqadiamond_skip_ffn_idx_17 | none | 0.9864 | code | 0.0059 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754642736_eval_3444_gpqadiamond_skip_ffn_idx_17
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 17.17% ± 2.12%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|--------... | 425 | 97 | normal |
Yansa/GeneratorX | code | 0.5344 | none | 0.3311 | null | [] | This is a reasoning dataset created using [Claude Opus 4.5](https://openrouter.ai/anthropic/claude-opus-4.5) with a reasoning depth set to high. Some of these questions are from reedmayhew and the rest were generated.
The dataset is meant for creating distilled versions of [Claude Opus 4.5](https://openrouter.ai/anthr... | 465 | 5 | normal |
reasoning-proj/c_dfiltered_science_QwQ-32B_mbenign_rewrite_trace_t50 | none | 0.5938 | code | 0.1625 | null | [] | 0 | 5 | normal | |
jdelavande/ultrachat_200k-Mistral-7B-Instruct-v0.3-with-thanks | none | 0.5733 | code | 0.2901 | null | [] | 0 | 8 | normal | |
Kulynych/train_data_final | none | 0.4275 | climate | 0.2762 | null | [] | 0 | 3 | normal | |
Roman190928/MathReasoning-10000000 | math | 0.9758 | none | 0.0186 | math | [
"math",
"algebra",
"reasoning",
"equations",
"fractions",
"word-problems",
"logic",
"llm-training",
"finetuning"
] | # AlgebraReasoning-10000000
Synthetic algebra-heavy math reasoning dataset.
Each row:
- question
- problem
- how_to_solve
- answer | 132 | 11 | normal |
seyeon-shijuan/my-distiset-ed97569e | none | 0.472 | code | 0.47 | null | [
"distilabel",
"rlaif",
"datacraft"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for my-distiset-ed97569e
This dataset has been crea... | 1,619 | 4 | normal |
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