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 |
|---|---|---|---|---|---|---|---|---|---|---|
laion/allenai-sera-unified | none | 0.6677 | code | 0.0815 | null | [] | 0 | 0 | normal | |
zhouxiangxin/Bespoke-Stratos-17k-Reformatted | none | 0.6997 | code | 0.0964 | null | [] | 0 | 8 | normal | |
sriramsk/hammer_bluePin_MV_20260119_ss_hg_v2 | none | 0.9615 | code | 0.024 | 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",
"... | 8,765 | 237 | normal |
tsdocode/vi-song-7k-public | none | 0.8888 | code | 0.0452 | null | [] | ## A vietnamese song dataset
Original data from: https://github.com/kelvinbksoh/Vietnamese-Automated-Lyrics-Transcription/tree/main
Duration: ~550 hours
Additional data processing:
- Add more audio tags using: https://github.com/tsdocode/musicnn-torch
- Format lyrics to [verse] [chorus] [bridge] using [janhq/Jan-v1-4... | 625 | 7 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_5cba883b-7ce5-4c87-9a9f-b0909bc759e4 | none | 0.6208 | code | 0.171 | null | [] | 0 | 5 | normal | |
nataliaElv/banking77_topic_and_sentiment | finance | 0.6969 | none | 0.2262 | null | [
"rlfh",
"argilla",
"human-feedback"
] | # Dataset Card for banking77_topic_and_sentiment
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`... | 14,566 | 5 | normal |
TSaltanat/7synyp_teacher_sft.jsonl | none | 0.6082 | code | 0.1049 | null | [] | 0 | 14 | normal | |
DBlake-BoxedLogic/Question-Followup | none | 0.4662 | code | 0.3785 | null | [] | 0 | 4 | normal | |
Bombozaur666/Kulu-Ya-Ku | none | 0.5756 | code | 0.2129 | null | [] | 0 | 4 | normal | |
danielrosehill/Speech-To-Text-System-Prompts-2 | none | 0.6313 | cybersecurity | 0.1993 | null | [] | # Speech To Text System Prompt Library
[](https://github.com/danielrosehill/Text-Transformation-Prompt-Combiner)
This repository provides a collection of system prompts designed to transform and refine text captured using speec... | 17,260 | 47 | normal |
jeqcho/qwen-2.5-1.5b-instruct-fox-numbers-run-2 | none | 0.6329 | code | 0.334 | null | [] | 0 | 11 | normal | |
giovipeg/record-test | none | 0.9315 | code | 0.0636 | 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",
"... | 4,211 | 17 | normal |
ukr-detect/ukr-nli-dataset-seminatural | none | 0.951 | legal | 0.038 | null | [] | ## Ukrainian NLI (seminatural)
We obtained NLI data for Ukrainian from various sources: Ukrainian legal acts, fiction, news, and manually. The data can be used to tune and test Ukrainian NLI models closer to real-life scenarious!
Labels information: 0 - entailment, 1 - neutral, 2 - contradiction.
## Citation
```
@i... | 2,251 | 3 | normal |
SEACrowd/etos | none | 0.9773 | code | 0.0098 | null | [
"pos-tagging"
] | ETOS (Ejaan oTOmatiS) is a dataset for parts-of-speech (POS) tagging for formal Indonesian
text. It consists of 200 sentences, with 4,323 tokens in total, annotated following the
CoNLL format.
## Languages
ind
## Supported Tasks
Pos Tagging
## Dataset Usage
### Using `datasets` library
```
from datasets import lo... | 3,454 | 201 | normal |
Ryo1021/so101_pick_red_cube | none | 0.9254 | code | 0.0681 | 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",
"... | 3,592 | 32 | normal |
svjack/Genshin-Impact-Portrait-with-Tags | none | 0.6447 | code | 0.1517 | null | [] |  | 120 | 15 | normal |
hangxie/parquet-tools | none | 0.7173 | code | 0.228 | null | [] | Performance test data set for https://github.com/hangxie/parquet-tools. | 71 | 37 | normal |
ndiy/ASAP_ASPECT | none | 0.3126 | chemistry | 0.234 | null | [] | 0 | 7 | normal | |
open-llm-leaderboard-old/details_juhwanlee__gemma-7B-alpaca-case-1-3 | none | 0.8689 | code | 0.0686 | null | [] | # Dataset Card for Evaluation run of juhwanlee/gemma-7B-alpaca-case-1-3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [juhwanlee/gemma-7B-alpaca-case-1-3](https://huggingface.co/juhwanlee/gemma-7B-alpaca-case-1-3) on the [Open LLM Leaderboard](https:... | 19,356 | 7 | normal |
open-llm-leaderboard-old/details_Ppoyaa__Lumina-3 | none | 0.9183 | biology | 0.0613 | null | [] | # Dataset Card for Evaluation run of Ppoyaa/Lumina-3
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Ppoyaa/Lumina-3](https://huggingface.co/Ppoyaa/Lumina-3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboar... | 19,116 | 5 | normal |
PatronusAI/drop-test | none | 0.4356 | climate | 0.2023 | null | [] | 0 | 4 | normal | |
gx-ai-architect/helpsteer_preference | none | 0.3708 | code | 0.2636 | null | [] | 0 | 9 | normal | |
mlnomad/imnet1k_volleyball | none | 0.8216 | code | 0.0536 | null | [] | 0 | 4 | normal | |
jjaehyeok2/12 | none | 0.3224 | climate | 0.1288 | null | [] | 0 | 5 | normal | |
CultriX/MsitralTrix-test-dpo | biology | 0.3992 | none | 0.2743 | null | [
"chemistry",
"biology",
"dpo",
"medical"
] | 0 | 30 | boundary | |
ClarusC64/intent-state-consistency-v0.1 | none | 0.8122 | medical | 0.1003 | null | [
"clarusc64",
"eval",
"intent",
"state"
] | ## What this dataset tests
Intent must hold.
Pressure shifts.
The goal stays.
## Why it exists
Models drift into adjacent tasks.
They optimize away the ask.
This set checks whether intent survives pressure.
## Data format
Each row contains
- intent_state
- user_message
- intent_pressure
- constraints
... | 1,346 | 17 | normal |
dl4senses/28SEP2024 | none | 0.2971 | biology | 0.2694 | null | [] | 0 | 3 | normal | |
Heng1999/dapo-en-10k | math | 0.8174 | none | 0.0899 | math | [
"reasoning",
"mathematics",
"llm",
"tool-use"
] | # Understanding Tool-Integrated Reasoning Training Dataset
This is the training dataset for the paper **[Understanding Tool-Integrated Reasoning](https://arxiv.org/abs/2508.19201)**.
This dataset is randomly sampled from DAPO dataset, used to study why Tool-Integrated Reasoning (TIR) makes Large Language Models (LLMs... | 335 | 22 | normal |
DCAgent2/DCAgent2_swebench-verified-random-100-folders_DCAgent_nl2bash-nl2bash-bugsseq_Q5295d0b0 | none | 0.5544 | chemistry | 0.1772 | null | [] | 0 | 9 | normal | |
reasoning-proj/exp_rob_dfiltered_logic_DeepSeek-R1-Distill-Llama-8B_mbenign_rewrite_trace_t10 | math | 0.4471 | code | 0.2735 | null | [] | 0 | 22 | normal | |
ThomasTheMaker/WeLoveYou | none | 0.9172 | code | 0.0565 | null | [
"instruction-finetuning",
"WeLoveYou",
"luna"
] | ![Uploading image.png…]()
This is a dataset extracted from WeLoveYou Youtube channel transcripts & synthesized using Cloudflare Workers AI Llama3-70B.
The goal is to fine-tune a empathetic Qwen2.5 model | 203 | 25 | normal |
gaianet/none | none | 0.7024 | code | 0.152 | null | [] | An empty snapshot was generated by all-MiniLM-L6-v2-ggml-model-f16.gguf and the Qdrant vector DB. | 97 | 8,694 | normal |
mahdibaghbanzadeh/GUE_prom_prom_300_all | none | 0.4083 | finance | 0.115 | null | [] | 0 | 6 | normal | |
rjac/clinicaltrials.gov-summary_and_eligibility | medical | 0.4306 | none | 0.2546 | null | [] | 0 | 18 | normal | |
theethawats98/tdce-example-complicated-dataset | none | 0.5731 | medical | 0.1818 | null | [] | # Example Dataset For Time-Driven Cost Estimation Learning Model
This dataset is the inspired-simulated data (the actual data is removed). This data is related to the Time-Driven Activity-Based Costing (TDABC) Principle.
## Complicated Dataset
It include the data with high variation but low dimension.
It includes 4 ... | 1,275 | 4 | normal |
buschbd7/chapter_78A_general_statutes | none | 0.3949 | legal | 0.3094 | null | [] | 0 | 9 | normal | |
shelly-writer/triviaqa-unmemorized | none | 0.6338 | code | 0.1266 | null | [] | 0 | 26 | normal | |
xchen16/wjb_responses | cybersecurity | 0.5018 | none | 0.3851 | null | [
"safety",
"jailbreak"
] | Four LLMs' responses to safety-related prompts (attacked and vanilla) from [wildjailbreak](https://huggingface.co/datasets/allenai/wildjailbreak)
We use [LLama-Guard-3](https://huggingface.co/meta-llama/Llama-Guard-3-8B) to classify the safety of the response | 260 | 106 | boundary |
passionMan/last_seed | none | 0.4019 | climate | 0.219 | null | [] | 0 | 4 | normal | |
pbelcak/pmc-train-4100000-to-4200000-GemmaTokens | none | 0.801 | code | 0.1174 | null | [] | 0 | 4 | normal | |
french-open-data/departements-et-leurs-regions | cybersecurity | 0.9539 | none | 0.0376 | null | [
"cvs",
"departements",
"json",
"regions",
"xml",
"dataset_for_agent"
] | # Départements et leurs régions
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Départements et leurs régions** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/5d55d4776f44414567232d79
## Description
L'objectif de ce jeu de données est... | 585 | 11 | new_discovery |
HungVu2003/opt-350m_beta_0.0_alpha_0.6_num-company_2_dataset_0_for_gen_3 | none | 0.8962 | biology | 0.0347 | null | [] | 0 | 4 | normal | |
Luffytaro-1/asr_en_ar_switch_split_52 | none | 0.7776 | code | 0.0764 | null | [] | 0 | 3 | normal | |
tmpmodelsave/qwen7bmath_base_ppo_with_format_score_60tmp0_MATH500 | none | 0.6215 | math | 0.16 | null | [] | 0 | 3 | normal | |
Kowsher/multitask_vqa_benchmark | none | 0.5222 | climate | 0.1165 | null | [] | 0 | 26 | normal | |
yirenc/deon_eval_2024 | none | 0.5448 | climate | 0.1428 | null | [] | 0 | 5 | normal | |
zjhhhh/iter2_7b_fullcheck_gap_0.17_scores_base_52 | none | 0.8662 | code | 0.0503 | null | [] | 0 | 5 | normal | |
anirudhb11/R1-1.5b-Par-Temp-0.7-Ans-40-32768-deg-64-path-3-n-16000-s-5500-e-5600 | none | 0.9554 | climate | 0.0197 | null | [] | 0 | 5 | normal | |
Akirayasha/saferpaca_2010_judgement_100 | none | 0.3911 | legal | 0.2473 | null | [] | 0 | 32 | normal | |
mlnomad/imnet1k_hummingbird | climate | 0.4816 | biology | 0.4476 | null | [] | 0 | 4 | boundary | |
supergoose/flan_combined_task1396_europa_ecdc_tm_en_de_translation | none | 0.8768 | legal | 0.0365 | null | [] | 0 | 4 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.2_num-company_3_dataset_1_for_gen_12 | none | 0.8913 | biology | 0.0308 | null | [] | 0 | 3 | normal | |
drproduck/matharena_aimo2 | none | 0.5879 | chemistry | 0.07 | null | [] | 0 | 9 | normal | |
d0rb/adversarial-thought-dataset | none | 0.6593 | climate | 0.066 | null | [] | 0 | 7 | normal | |
SpeedG1111/healthbench | none | 0.8519 | code | 0.0686 | null | [] | Contains the data for the [HealthBench eval](https://openai.com/index/healthbench/). For the reference implementation of HealthBench, see OpenAI's `simple-evals` [repo](https://github.com/openai/simple-evals). | 209 | 4 | normal |
DynamicSuperb/EnvironmentRecognition_ESC50 | none | 0.3637 | climate | 0.2872 | null | [] | 0 | 3 | normal | |
french-open-data/etablissements-d-accueil-de-jeunes-enfants-eaje-du-finistere | cybersecurity | 0.7887 | none | 0.1538 | null | [
"eaje",
"famille",
"garde",
"jeunes-enfants",
"petite-enfance",
"solidarite-social",
"dataset_for_agent"
] | # Établissements d'accueil de jeunes enfants (EAJE) du Finistère
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Établissements d'accueil de jeunes enfants (EAJE) du Finistère** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/649e1cb07a7... | 779 | 6 | normal |
jy13/eval_act_carrot_ir_test | none | 0.9237 | code | 0.0709 | 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",
"... | 3,570 | 5 | normal |
MikeGreen2710/to_gen_9k_0_9000_batch_re_gen_ed | none | 0.9467 | code | 0.0215 | null | [] | 0 | 4 | normal | |
Schmitz005/kaggle-recipe-categorized-chunk-1 | none | 0.6773 | code | 0.1187 | null | [] | 0 | 4 | normal | |
1g0rrr/demo_flip_connector1_center | none | 0.9381 | code | 0.0575 | 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",
"... | 5,554 | 21 | normal |
nickfuryavg/mls_eng_chunk_7050000_to_7100000 | none | 0.6317 | code | 0.1397 | null | [] | 0 | 4 | normal | |
ainewtrend01/Allocation3 | none | 0.4453 | code | 0.1393 | null | [] | 0 | 25 | normal | |
competitioncode/meet_in_the_middle | none | 0.649 | code | 0.1937 | null | [
"physics",
"simulation",
"2d",
"collision-detection",
"dataset"
] | # Polygon Dynamics 2D
物理推理数据集
## 项目信息
- **项目类型**: dataset
- **上传时间**: Windows系统
- **数据集**: 包含7种场景类型(A-G)和5个难度等级的物理推理任务
## 场景类型
- **A**: 基础碰撞检测
- **B**: 重力影响
- **C**: 摩擦力
- **D**: 弹性碰撞
- **E**: 复合物理
- **F**: 高级动力学
- **G**: 极端复杂场景
## 难度等级
- **0**: 基础 - 简单场景
- **1**: 简单 - 增加复杂度
- **2**: 中等 -... | 915 | 36 | normal |
HANTIFARAH/Farah-ZGrm_fj10bE | none | 0.5132 | biology | 0.141 | null | [] | 0 | 3 | normal | |
nirantk/triplets | none | 0.9355 | code | 0.0514 | null | [
"sentence-transformers"
] | Dataset built from [Nomic Contrastors](https://github.com/nomic-ai/contrastors) for training embedding models. Some (query, pos) pairs are repeated. All (query, pos, neg) triplets are unique.
The `query_lang` attribute was calculated using [fasttext language identification](https://huggingface.co/facebook/fasttext-la... | 342 | 28 | normal |
cmlzz/details_Isaak-Carter__Josiefied-Qwen2.5-7B-Instruct-abliterated | none | 0.9438 | code | 0.0515 | null | [] | # Dataset Card for Evaluation run of Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated](https://huggingface.co/Isaak-Carter/Josiefied-Qwen2.5-7... | 24,921 | 296 | normal |
Omegalikes/russian_dialog_dataset | none | 0.504 | legal | 0.1311 | null | [
"dialog",
"2026",
"2025",
"text",
"dataset",
"datasetfortraining"
] | 0 | 27 | normal | |
mbicanic/vllm-benchmark-coding | code | 0.9974 | none | 0.0014 | null | [] | # vLLM Benchmarking: Coding
Dataset for easy benchmarking of deployed LLMs in serving mode, designed to be compatible with vLLM's `benchmark_serving.py`.
## Dataset Sources
Dataset is sourced from the following four datasets:
1. https://huggingface.co/datasets/Crystalcareai/Code-feedback-sharegpt-renamed
2. https://h... | 1,164 | 4 | new_discovery |
arjun3103/distil_test_llama3-70B | none | 0.5331 | biology | 0.2254 | null | [] | 0 | 13 | normal | |
MilaWang/flare-en-fpb-dense-8-shots-sd4 | none | 0.6766 | code | 0.0931 | null | [] | 0 | 39 | normal | |
mlfoundations-dev/b1_math_top_16 | chemistry | 0.3603 | math | 0.2911 | null | [] | 0 | 5 | boundary | |
Axioris/reddit_dataset_14 | none | 0.8801 | cybersecurity | 0.0477 | null | [] | # Bittensor Subnet 13 Reddit 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/resolve... | 5,818 | 98 | normal |
HennersBro98/reasoning-aime25-noxml | none | 0.4363 | chemistry | 0.1504 | null | [] | 0 | 4 | normal | |
rediska0123/test_sciqa_Apertus | none | 0.426 | code | 0.1722 | null | [] | 0 | 18 | normal | |
zjhhhh/7b_iter1_mean_beta_1.0_multi_expand_tokenized_gap_ratio_0.34 | none | 0.8567 | climate | 0.0584 | null | [] | 0 | 24 | normal | |
TAUR-dev/dataset__acronym_generation__simple__5_words | none | 0.6863 | code | 0.1372 | null | [] | 0 | 4 | normal | |
Akchunks/hindi_audio_segmentation_dataset_train | none | 0.7092 | climate | 0.0614 | null | [] | 0 | 4 | normal | |
JiayiHe/test | medical | 0.5982 | none | 0.3927 | null | [] | # EndoBench Fairness
This dataset contains 264,000 examples for medical fairness evaluation.
## Dataset Description
This dataset includes medical questions with fairness attributes injected for bias evaluation in medical AI systems.
The dataset is stored in 4 parquet shards for efficient loading.
## Dataset Struct... | 1,635 | 5 | normal |
kothasuhas/ctx16-198M-1ensemble-8M | none | 0.6702 | math | 0.106 | null | [] | 0 | 2 | normal | |
kenken6696/ALCUNA_meta_affirmative_3_mix_position_known_unknown_train | none | 0.7877 | legal | 0.0569 | null | [] | 0 | 5 | normal | |
flair/nuner_max_splits | none | 0.4992 | climate | 0.1386 | null | [] | 0 | 10 | normal | |
o-hisa/pick_lego | none | 0.9061 | 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",
"... | 4,215 | 26 | normal |
protolyze/esm3B_500k_neuron_explanations | biology | 0.9128 | chemistry | 0.0572 | null | [] | 0 | 3 | new_discovery | |
Lots-of-LoRAs/task568_circa_question_generation | none | 0.8465 | biology | 0.1056 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task568_circa_question_generation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point... | 2,308 | 59 | normal |
StackStaplre/BGB_Court_Decisions_Alpaca | legal | 0.3577 | none | 0.3562 | legal | [
"legal"
] | 0 | 4 | boundary | |
chengfu0118/DeepSeek-R1-FP4_1757570281_eval_f912 | none | 0.9462 | math | 0.0239 | null | [] | # chengfu0118/DeepSeek-R1-FP4_1757570281_eval_f912
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 62.29% ± 1.20%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------|----------------|
| 1 | 64.65... | 389 | 5 | normal |
raffel36/benchmark_1k | none | 0.5006 | code | 0.4723 | null | [
"llm",
"1k-tokens",
"generated"
] | # Benchmark 1K Dataset
A curated dataset of 1,000 high-quality prompts designed for benchmarking Large Language Model (LLM) performance across various metrics including latency, throughput, and response quality.
## Dataset Overview
- **Size**: 100 prompts
- **Format**: JSONL (JSON Lines)
- **Average Token Le... | 4,231 | 13 | normal |
jfcalvo/argilla-testing-export-10 | none | 0.568 | code | 0.186 | null | [] | 0 | 4 | normal | |
JisooSong/sandwich_131to140_vhlv | none | 0.9519 | code | 0.0451 | 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",
"... | 5,390 | 5 | normal |
jganzabalseenka/Nota_2024-09-06T20_24hs | none | 0.4874 | finance | 0.117 | null | [] | 0 | 3 | normal | |
dariolopez/justicio-BOE-A-1978-31229-constitucion-by-articles-qa-bge-m3-groq_llama3_70b_8192 | none | 0.8448 | legal | 0.1049 | null | [] | 0 | 83 | normal | |
ahishamm/whisperQURANIC | none | 0.4242 | math | 0.0859 | null | [] | 0 | 87 | normal | |
Shekswess/legal-documents | legal | 0.9976 | finance | 0.001 | legal | [
"legal",
"text",
"synthgenai"
] | ## Description
- **Topic:** Legal Documents
- **Domains:** Law, Contracts, Regulations
- **Focus:** Synthetic raw text data for legal document analysis
- **Number of Entries:** 1000
- **Dataset Type:** Raw Dataset
- **Model Used:** bedrock/us.amazon.nova-pro-v1:0
- **Language:** English
- **Generated by:** SynthGenAI ... | 327 | 60 | normal |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_926dc4dd-97d6-49e7-a3dd-c4b423407446 | none | 0.5867 | code | 0.196 | null | [] | 0 | 4 | normal | |
normajeane/eval_pick_and_place_yellow_1 | none | 0.8934 | code | 0.1011 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=normajeane/eval_pick_and_place_yellow_1">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-t... | 3,264 | 88 | normal |
reasoning-proj/filtered_science_DeepSeek-R1-Distill-Qwen-14B | none | 0.4377 | biology | 0.2724 | null | [] | 0 | 4 | normal | |
ozgemellas/conviceren | none | 0.5044 | chemistry | 0.1276 | null | [] | 0 | 4 | normal | |
JingweiNi/Apertus-70B-aligned_0.33_0.67_majority_no_refuse_sft_data_correct | none | 0.7374 | climate | 0.1079 | null | [] | 0 | 6 | normal | |
TheFactoryX/edition_1486_tatsu-lab-alpaca-readymade | none | 0.9733 | code | 0.0235 | null | [
"readymades",
"art",
"duchamp"
] | # edition_1486_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 6 | normal |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.