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 |
|---|---|---|---|---|---|---|---|---|---|---|
dgambettaphd/D_llm3_run0_gen19_WXS_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.7381 | chemistry | 0.0839 | null | [] | 0 | 6 | normal | |
test-gen/mbpp_qwen2-3b-easy_lr1e-6_t0.0_n1_generated_tests | code | 0.612 | none | 0.2911 | null | [] | 0 | 4 | normal | |
aisi-whitebox/wmdp_cyber_mo1_mo2_experiments_mo1_15_85 | cybersecurity | 0.6163 | none | 0.3746 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_cyber_mo1_mo2_experiments_mo1_15_85
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-09.
### Model Information
- **Model**: `vllm/aisi-whitebox/sandbagging_balance_mix_mo_v1_malicious_15pct`
### Task Info... | 1,441 | 4 | normal |
Gokulavelan/eval_act1 | none | 0.8838 | code | 0.1101 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Gokulavelan/eval_act1">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg... | 2,956 | 0 | normal |
dgambettaphd/D_gen9_run0_Meta-Llama-3.1-8B-bnb-4bit_xlsum_doc1000_real64_synt64 | code | 0.6169 | none | 0.3136 | null | [] | 0 | 4 | normal | |
jkazdan/hexphi-llama-trained | none | 0.4958 | chemistry | 0.1266 | null | [] | 0 | 3 | normal | |
Gorengoz/tr-customerreview | cybersecurity | 0.6668 | finance | 0.1475 | null | [] | ## Türkçe Müşteri Yorumları Veri Seti
Bu veri seti ParseHub uygulaması kullanılarak Amazon, Trendyol ve Hepsi Burada gibi alışveriş sitelerinin çok satan ürünler kısmındaki yorumlar çekilerek oluşturulmuştur.
3 adet label bulunur: "olumlu", "olumsuz" ve "nötr"
Train ve Validation olarak ayrılan bu veri setinde, trai... | 391 | 15 | normal |
jassiyu/formal_prl119 | chemistry | 0.3113 | none | 0.2813 | null | [] | 0 | 4 | boundary | |
PJMixers-Dev/foundRP-qwq-all-kcpp | code | 0.681 | none | 0.2231 | null | [] | # foundRP-qwq-all-kcpp
[You should mask everything except the last turn](https://github.com/xzuyn/axolotl/blob/prompt_formats/src/axolotl/prompt_strategies/customchatml-regex-last-only.py). The only part that matters to teach the model is the last turn, as you are teaching it to always output thinking, no matter what ... | 576 | 10 | normal |
AdityaaXD/Credit-Score-Classification | finance | 0.9735 | none | 0.0125 | finance | [
"credit-score",
"finance",
"banking",
"tabular",
"classification"
] | # 💳 Credit Score Classification Dataset
A comprehensive dataset for predicting customer credit scores into three categories: **Good**, **Standard**, and **Poor**.
## Dataset Description
This dataset contains customer financial information and behavioral patterns used for credit score classification. It includes var... | 6,814 | 11 | normal |
mlabonne/orca-math-word-problems-80k | math | 0.4748 | none | 0.4473 | null | [] | I removed samples where "question" character length was over 1,000 and "answer" character length was over 2,000, then randomly subsampled 80k rows. | 147 | 21 | boundary |
Tagiyevff/azerbaycan_large_word | none | 0.5513 | code | 0.1794 | null | [] | 0 | 3 | normal | |
reasoning-proj/exp_rob_dfiltered_Phi-4-reasoning-plus_2_mneutral_add_random_text_t30 | none | 0.5848 | math | 0.277 | null | [] | 0 | 8 | normal | |
french-open-data/ccpc-pression-d-inventaire-plantes-vasculaires-tous-statuts-periode-moderne-par-commune | biology | 0.7168 | none | 0.126 | null | [
"communaute-de-communes-pevele-carembault-ccpc",
"commune",
"flore",
"periode-moderne-depuis-2000",
"plantes-vasculaires",
"pression-dinventaire",
"dataset_for_agent"
] | # CCPC - Pression d'inventaire - Plantes vasculaires tous statuts (Période moderne - Par commune)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **CCPC - Pression d'inventaire - Plantes vasculaires tous statuts (Période moderne - Par commune)** qui est di... | 1,778 | 9 | normal |
liyinghong/DFPO-Preft-adelie | none | 0.5937 | code | 0.1087 | null | [] | 0 | 2 | normal | |
administrator895/obsidian | none | 0.7079 | code | 0.1357 | null | [] | ## 调用
https://huggingface.co/datasets/administrator895/obsidian/resolve/main/{id}.jpg | 85 | 8 | normal |
juliansiena/priva | none | 0.3938 | climate | 0.117 | null | [] | 0 | 4 | normal | |
Hkang/summarize_sft-test_lm-EleutherAI_pythia-1b_seed-42_numex-250_lr3e8_4Kreward_only-BON_64 | none | 0.6045 | math | 0.1813 | null | [] | 0 | 5 | normal | |
zhuchi76/Boat_dataset | none | 0.9292 | code | 0.0373 | null | [] | # Boat Dataset for Object Detection
## Overview
This dataset contains images of real & virtual boats for object detection tasks. It can be used to train and evaluate object detection models.
## Dataset Structure
### Data Instances
A data point comprises an image and its object annotations.
```
```
### Data Field... | 1,824 | 18 | normal |
sqvareinch/synthetic-biography-qa-v2 | none | 0.6395 | chemistry | 0.178 | null | [] | 0 | 393 | normal | |
iproskurina/bias-in-bios-qwen-hf-iter-iter5 | none | 0.6387 | code | 0.0915 | null | [] | 0 | 6 | normal | |
JaceStrong/sentiment-data-Karuma.csv | finance | 0.3793 | none | 0.3185 | null | [
"music"
] | # 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 | 5 | boundary |
HolyTreeCrowns/YaleKIContractArrangementDB | legal | 0.8565 | finance | 0.0531 | null | [
"infinite-dataset-hub"
] | # YaleKIContractArrangementDB
tags: Machine Learning, Contract Analysis, Yale Innovation
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'YaleKIContractArrangementDB' dataset contains structured information extracted from contracts related to Yale's Key... | 2,706 | 6 | new_discovery |
AbrorBalxiyev/summarize | none | 0.3168 | math | 0.1585 | null | [] | 0 | 5 | normal | |
huanmit/flan-t5-boosting-mmlu_direct | none | 0.5612 | code | 0.1292 | null | [] | 0 | 8 | normal | |
princeton-nlp/TutorEval | none | 0.4986 | code | 0.1313 | null | [] | 0 | 16 | normal | |
TAUR-dev/O7B_sft_countdown_3arg_3333_end5000_chunk_1 | none | 0.6545 | chemistry | 0.0814 | null | [] | 0 | 2 | normal | |
DatPySci/weak_gpt2-large_tldr_synthetic | none | 0.4615 | chemistry | 0.2294 | null | [] | 0 | 5 | normal | |
ar08/alpaca-medic | medical | 0.7241 | none | 0.2374 | null | [] | # Dataset Card for Dataset Name
Medic dataset formatated from DOCTOR CONVERSETION DATASET[https://huggingface.co/datasets/mahfoos/Patient-Doctor-Conversation] | 158 | 18 | normal |
TheReverand/so101_cube_task_v5 | none | 0.9185 | code | 0.0669 | 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",
"... | 3,154 | 13 | normal |
ashashmika/my_policy4 | none | 0.8684 | code | 0.1254 | 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 | 9 | normal |
yuzhous/lekiwi_third_floor_0926 | none | 0.9181 | code | 0.0775 | null | [
"lekiwi",
"elevator"
] | 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",
"... | 3,669 | 5 | normal |
leo-liuzy/Controlled-RippleEdit | none | 0.9728 | code | 0.0187 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This is a synthetic dataset that centers around entities and relationships that the model is familiar with. This allow a focused evaluation of model’s knowledge propagation ability.
This is the dataset used for paper [PropMEND: Hypernet... | 3,795 | 73 | normal |
shunyalabs/portuguese-speech-dataset | none | 0.7315 | legal | 0.0571 | null | [] | 0 | 11 | normal | |
AndrewAp624/Morgan | none | 0.2954 | climate | 0.1583 | null | [] | 0 | 4 | normal | |
kiemtien/vcxfsd | none | 0.3227 | chemistry | 0.198 | null | [] | 0 | 4 | normal | |
rosssso/prt14-codebase | code | 0.8528 | none | 0.1143 | null | [] | # MLX
[**Quickstart**](#quickstart) | [**Installation**](#installation) |
[**Documentation**](https://ml-explore.github.io/mlx/build/html/index.html) |
[**Examples**](#examples)
[](https://circleci.com/gh/ml-explore/mlx)
MLX is an array framework for m... | 19,915 | 36 | new_discovery |
ZurichNLP/paws-x-italian | none | 0.9854 | code | 0.0065 | null | [
"paraphrase",
"italian"
] | [](https://arxiv.org/pdf/2512.07538)
# PAWS-X Italian Paraphrase Dataset
This dataset is a machine-translated Italian version of the English PAWS-X dataset. The original PAWS-X dataset (Yang et al. 2019) is a multilingual version of PAWS ... | 1,273 | 40 | normal |
Asap7772/arc-barc-processed-code-withabs-verl | code | 0.5119 | none | 0.2792 | null | [] | 0 | 6 | normal | |
himedia/financial_dummy_data_v3 | finance | 0.8654 | none | 0.065 | null | [] | 0 | 5 | new_discovery | |
MCINext/synthetic-persian-chatbot-tone-chatbot-classification | none | 0.951 | cybersecurity | 0.0284 | null | [] | ## Dataset Summary
**Synthetic Persian Chatbot Tone Chatbot Classification (SynPerChatbotToneChatbotClassification)** is a Persian (Farsi) dataset designed for the **Classification** task, specifically targeting the tone of chatbot responses. It is part of the [FaMTEB (Farsi Massive Text Embedding Benchmark)](https://... | 1,438 | 26 | normal |
Graphcore/GTSQA | none | 0.9151 | code | 0.0704 | null | [] | # Dataset card for GTSQA
## Dataset Summary
GTSQA is a synthetic Knowledge Graph Question Answering dataset constructed from Wikidata, using the [SynthKGQA framework](https://github.com/graphcore-research/synth-kgqa). It offers a challenging benchmark for GraphRAG models and KG-augmented LLMs, and enables the sta... | 7,593 | 97 | normal |
arrafmousa/train_dataset_preference_plain | none | 0.468 | climate | 0.1284 | null | [] | 0 | 5 | normal | |
K-Univ/Pathological-child-voice | none | 0.9796 | legal | 0.0053 | null | [] | # Speech Dataset for AI-Based Language Assessment in Children
The **"Speech Database of Typically Developing and Speech-Impaired Children"** is an open speech dataset designed to support the development of AI-based language assessment systems. It contains speech samples from children aged **2 to 9** who are either t... | 3,845 | 21 | normal |
emugnier/DafnyGym | none | 0.4286 | code | 0.1011 | code | [
"code"
] | 0 | 18 | tag_disagree | |
quannguyen204/combined_medical_qa_dataset | medical | 0.8821 | none | 0.114 | medical | [
"healthcare",
"medical",
"vietnamese",
"question-answering"
] | # Combined Vietnamese Medical QA Dataset
This dataset is a collection of Vietnamese medical question-answer pairs combined from multiple public sources on Hugging Face.
## Dataset Structure
The dataset contains the following columns:
- `question`: Medical question in Vietnamese.
- `answer`: Corresponding medical an... | 565 | 13 | normal |
ycfNTU/oasum_oneshot_mistral | none | 0.4789 | biology | 0.195 | null | [] | 0 | 4 | normal | |
Ayush-Singh/hallu-train | none | 0.6432 | code | 0.1003 | null | [] | 0 | 4 | normal | |
ehejin/test-variance | none | 0.5565 | chemistry | 0.1031 | null | [] | 0 | 5 | normal | |
andrewsiah/PersonaPromptPersonalLLM_220 | none | 0.9734 | code | 0.0189 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_220"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
mrlom/michael_afton | none | 0.3944 | chemistry | 0.1108 | null | [] | 0 | 14 | normal | |
thonyyy/tatoeba-nusax-scrape-mt-concat | biology | 0.5016 | none | 0.2979 | null | [] | 0 | 13 | normal | |
turibaru/6janu2026plume | none | 0.4136 | biology | 0.1685 | null | [] | 0 | 8 | normal | |
hcvir/can_task | none | 0.9316 | code | 0.0625 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=hcvir/can_task">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<im... | 4,493 | 16 | normal |
chitra/contradictionNLI | none | 0.3989 | legal | 0.1686 | null | [] | This data can help in solving contradiction detection problem. this data is picked from kaggle.
reference - Contradictory, My DWatson | 134 | 36 | normal |
kazi420/ecg_multi_class_data_dataset | none | 0.6211 | climate | 0.1119 | null | [] | 0 | 3 | normal | |
man4j/sorokin_v1 | none | 0.7 | biology | 0.0776 | null | [] | 0 | 4 | normal | |
mkkimuser/ffw_sg2_rev1_wera7 | none | 0.8809 | code | 0.1132 | null | [
"ffw_sg2_rev1",
"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",
"... | 4,880 | 6 | normal |
KathirKs/CC-MAIN-2014-49_row_wise_20240812_125816 | none | 0.4883 | climate | 0.1881 | null | [] | 0 | 3 | normal | |
Ba2han/finetrans-TR_2k | none | 0.3944 | chemistry | 0.3326 | null | [] | 0 | 34 | normal | |
ilgee/hs3-reasoning-binary-max | none | 0.4259 | math | 0.172 | null | [] | 0 | 4 | normal | |
BrandonAL/my_svla_so101_less_structured | none | 0.941 | 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",
"... | 3,587 | 48 | normal |
bigcomputer/kaggle-notebooks-intent-conversations | none | 0.6989 | code | 0.1697 | null | [] | 0 | 33 | normal | |
toolevalxm/ClimateAI-ERA5-Raw | climate | 0.9978 | biology | 0.0008 | null | [] | # ClimateAI: Climate Intelligence Framework
<p align="left">
📑 <a href="https://huggingface.co/papers/yyyy.yyyyy" target="_blank">Paper</a>    |    🌐 <a href="https://climateai.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/Weat... | 1,729 | 7 | new_discovery |
louisbrulenaudet/code-expropriation-utilite-publique | legal | 0.9986 | none | 0.0008 | legal | [
"finetuning",
"legal",
"french law",
"droit français",
"Code de l'expropriation pour cause d'utilité publique"
] | # Code de l'expropriation pour cause d'utilité publique, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and Euro... | 6,114 | 34 | normal |
gyauney/gsm-symbolic_synth1_1-samples_all-examples_v5 | none | 0.5418 | chemistry | 0.2811 | null | [] | 0 | 4 | normal | |
alex-cta/record-screw-ur | none | 0.9455 | code | 0.0461 | 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",
"... | 2,915 | 6 | normal |
streamteck/test_dataset | none | 0.3715 | climate | 0.2211 | null | [] | 0 | 3 | normal | |
StrangeSX/NER-ThaiProductAnnotations-ReV1.2 | none | 0.6372 | biology | 0.138 | null | [] | 0 | 3 | normal | |
supergoose/flan_combined_task1105_ted_translation_ar_gl | none | 0.8337 | code | 0.0552 | null | [] | 0 | 4 | normal | |
Atmanstr/samsum_instruction_tune | none | 0.9878 | code | 0.0096 | null | [
"Conversation",
"Role-Play"
] | # samsum_instruction_tune
Instruction-tuning version of the SAMSum dialogue summarization dataset, formatted for training large language models (LLMs) with instruction-following capabilities.
---Overview
Atmanstr/samsum_instruction_tune is a reformatted version of the SAMSum dataset designed specifically for instruc... | 1,846 | 24 | normal |
LibertysGrit/DS-Iris-V1 | none | 0.6384 | code | 0.1176 | null | [] | 0 | 28 | normal | |
DopeorNope/lora_test_cpt_base_0.8 | none | 0.3998 | climate | 0.2407 | null | [] | 0 | 5 | normal | |
renjiepi/datapoints_round1_dpsk_system_administration_shard1_daytona_n100k1 | none | 0.5255 | cybersecurity | 0.2368 | null | [] | 0 | 8 | normal | |
jon7009/SCoRe | math | 0.9184 | none | 0.0507 | null | [
"cot",
"chain-of-thought",
"reasoning",
"dpo",
"instruction-tuning",
"preference",
"high-quality",
"curated",
"english",
"text-generation"
] | Structured Chain of Reasoning
A matrix of 107 reasoning topics across 37 question forms, represented in 115,659
unique questions and 19,921 DPO pairs.
Curated from the upper output distribution of GPT-OSS-120B and Qwen3-32B, guided by a
curriculum and prompt architecture designed with frontier model LLM assistanc... | 4,555 | 43 | new_discovery |
konwoo/dclm-164k-instruct-hq-cpr128-ml512-32-45 | code | 0.4898 | none | 0.3417 | null | [] | 0 | 21 | boundary | |
belal12/mini-platypus | biology | 0.8287 | climate | 0.0902 | null | [] | 0 | 3 | new_discovery | |
echodict/whisper.cpp | none | 0.5106 | code | 0.438 | null | [] | # whisper.cpp
[](https://github.com/ggml-org/whisper.cpp/actions)
[![License: MIT](https://img.shields.io/badge/license... | 36,004 | 968 | normal |
hugonowak/model-testowy-robotyka-005 | none | 0.9088 | code | 0.0578 | null | [] | model-testowy-robotyka-005
model-testowy-robotyka-005 | 53 | 7 | normal |
sergiov2000/so100_movella_stack_ball_test | none | 0.937 | code | 0.0593 | 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",
"... | 3,584 | 35 | normal |
arturaah/my_first_test_dataset | none | 0.9056 | 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": "v3.0",
"... | 3,582 | 5 | normal |
michsethowusu/english-xhosa_sentence-pairs_mt560 | none | 0.9634 | finance | 0.0097 | null | [
"parallel-corpus",
"translation",
"xhosa"
] | # English-Xhosa Parallel Dataset
This dataset contains parallel sentences in English and Xhosa (South Africa).
## Dataset Information
- **Language Pair**: English ↔ Xhosa
- **Language Code**: xho
- **Country**: South Africa
- **Original Source**: [OPUS MT560 Dataset](https://opus.nlpl.eu/MT560)
## Dataset Structure... | 679 | 117 | normal |
vourless/yiyiyti433 | none | 0.3711 | chemistry | 0.147 | null | [] | 0 | 4 | normal | |
Sabresooth/Sabresooth_Train | none | 0.5805 | biology | 0.1695 | null | [] | 0 | 5 | normal | |
v2ray/4chan | none | 0.8746 | code | 0.1157 | null | [] | # 4chan
This dataset is [lesserfield/4chan-datasets](https://huggingface.co/datasets/lesserfield/4chan-datasets) converted to a better format. | 142 | 651 | normal |
kapilw25/ISD-Instruction-Switch-Dataset | code | 0.431 | none | 0.199 | null | [] | 0 | 5 | normal | |
french-open-data/comptage-du-trafic-cub | cybersecurity | 0.937 | none | 0.0585 | null | [
"circulation",
"routes",
"transport",
"dataset_for_agent"
] | # comptage du trafic CUB
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **comptage du trafic CUB** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/53699134a3a729239d203bd1
## Description
En 2010 - débit routier aux heures de pointe 2009... | 1,120 | 14 | new_discovery |
chaosc/merged_aime_test | math | 0.9356 | none | 0.0523 | null | [] | # Merged AIME Test Dataset
This dataset merges AIME 2024 and AIME 2025 datasets into a unified format with three fields:
- `problem`: The math problem statement
- `answer`: The answer to the problem
- `source`: The source dataset
## Source Datasets
1. **aime25** (30 examples): [math-ai/aime25](https://huggingface.co... | 1,281 | 4 | new_discovery |
wxy123321/so100_bi_test_v11 | none | 0.9807 | code | 0.0162 | 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",
"... | 3,189 | 25 | normal |
PranavaKailash/CyNER2.0_augmented_dataset | cybersecurity | 0.9944 | code | 0.0023 | null | [] | # CyNER 2.0 Augmented Dataset
*CyNER 2.0 Augmented Dataset* is a comprehensive dataset designed for Named Entity Recognition (NER) tasks, specifically tailored for cybersecurity-related text. This dataset combines an original cybersecurity NER dataset (bnsapa/cybersecurity-ner) with additional augmented data (taken fro... | 3,058 | 19 | new_discovery |
zjhhhh/7b_min_perprompt_iter2_min_noexpand_tokenized | none | 0.7625 | code | 0.1075 | null | [] | 0 | 9 | normal | |
Arnal-Resotainer/shipping-containers-resotainer | none | 0.8563 | cybersecurity | 0.0931 | null | [
"self-storage",
"logistics"
] | # Resotainer – Augmented Technical Dataset of Maritime & Storage Containers (2025 Edition)
*(English + French)*
---
# 🇬🇧 English Version
This dataset provides a complete, standardized, open-source catalog of maritime and storage containers used across logistics, transportation, construction (BTP), self-storage and... | 2,092 | 11 | normal |
TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_STAR-SFT-countdown_3arg__v1 | none | 0.8678 | chemistry | 0.049 | null | [] | # Experiment Tracker: FinEval_16k_fulleval_AT_STAR-SFT-countdown_3arg
**Experiment Description:** Evaluation experiment for task countdown_3arg from FinEval_16k_fulleval_AT_STAR-SFT
**Start Time:** 2025-11-10T00:16:30.356041
**Tracker Dataset:** [TAUR-dev/D-ExpTracker__FinEval_16k_fulleval_AT_STAR-SFT-countdown_3arg... | 3,011 | 5 | normal |
arsenxeno/cam-augmented-setup-20-24 | none | 0.9277 | code | 0.0696 | 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",
"... | 4,770 | 8 | normal |
Geraldine/manuel-unimarc-CfU-chunked | none | 0.426 | biology | 0.1226 | null | [] | 0 | 7 | normal | |
dgambettaphd/D_llm2_gen6_WXS_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.567 | chemistry | 0.2421 | null | [] | 0 | 5 | normal | |
BAAI-DataCube/robomind_benchmark1_0_release_franka_3rgb_slide_open_drawer | none | 0.8182 | code | 0.167 | null | [] | # benchmark1_0_release_franka_3rgb_slide_open_drawer
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: franka_3rgb
末端执行器: 夹爪
任务平台显示版: 滑动打开抽屉part_1
total_episodes: 180
total_tasks: 1
size: 652.3M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xxx.pa... | 952 | 20 | normal |
ioi-leaderboard/ioi-eval-sglang_Qwen_Qwen2.5-7B-Instruct-prompt-mem-limit | none | 0.6398 | code | 0.3034 | null | [] | 0 | 4 | normal | |
kejian/SciRIFF-4096-tuluv2-all | none | 0.4289 | biology | 0.1765 | null | [] | 0 | 5 | normal | |
jrosseruk/Qwen3-4B-MATH-labeled-sentences | math | 0.9475 | none | 0.0483 | math | [
"math",
"reasoning",
"chain-of-thought",
"backtracking",
"qwen",
"MATH-benchmark",
"sentence-labels"
] | # Qwen3-4B MATH Labeled Sentences
Sentence-level function-tag labels for reasoning traces from Qwen3-4B on MATH problems.
- **Trace model**: Qwen/Qwen3-4B (served via vLLM)
- **Label model**: gpt-4o-mini
- **Source traces**: jrosseruk/Qwen3-4B-MATH-traces-balanced
- **Total sentences**: {n_total:,}
- **Backtrack sent... | 2,431 | 18 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.