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 |
|---|---|---|---|---|---|---|---|---|---|---|
ErikaaWang/M_0_generated__arc_challenge__llama_score_llama | none | 0.6888 | code | 0.1473 | null | [] | 0 | 4 | normal | |
Kasymkhan/RussianFinancialNews | finance | 0.985 | none | 0.0072 | null | [] | # RussianFinancialNews
Датасет содержит 92,377 русскоязычных новостных статей на финансовую тематику, преимущественно про российский рынок ценных бумаг и российскую экономику. Набор данных может быть полезен для разных задач обработки естественного языка (NLP).
A dataset containing 92,377 samples of Russian financia... | 5,035 | 38 | new_discovery |
mask-distilled-libri-one-sec-cv12/chunk_9 | none | 0.6869 | chemistry | 0.1134 | null | [] | 0 | 4 | normal | |
avankumar/Temp_QnA_ | none | 0.3246 | climate | 0.1824 | null | [] | 0 | 4 | normal | |
yunjae-won/mp_mistral7bv3_sft_dpo_beta5e-2_epoch1_40k_multisample_ratio | none | 0.8215 | chemistry | 0.0885 | null | [] | 0 | 4 | normal | |
jihuny/llama_uf_10k_sky_dpo_mgopt_a03 | none | 0.5636 | finance | 0.1352 | null | [] | 0 | 8 | normal | |
tytodd/toxigen-qwen3-vl-32b-l16 | biology | 0.7103 | chemistry | 0.1671 | null | [] | 0 | 19 | normal | |
FrankYuzhe/1_27_1 | none | 0.8833 | code | 0.1106 | 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 | 5 | normal |
r2e-edits/deepswe-verifier-2582-v2 | none | 0.699 | code | 0.0841 | null | [] | 0 | 9 | normal | |
Mimic-Robotics/mimic_tictactoe_red_x_handover_bottomleft_v1 | none | 0.9219 | code | 0.0734 | 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",
"... | 5,574 | 18 | normal |
ErikaaWang/M_0_generated__NormAd__mistral-anthropologist_score_mistral-anthropologist | biology | 0.8978 | climate | 0.0515 | null | [] | 0 | 4 | new_discovery | |
Backup-CaML/20k_real_animals_convos_1_feb22 | none | 0.5588 | biology | 0.321 | null | [] | 0 | 14 | normal | |
french-open-data/horaires-theoriques-reseau-choletbus | none | 0.6571 | cybersecurity | 0.3188 | null | [
"dataset_for_agent"
] | # Horaires théoriques réseau Choletbus
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Horaires théoriques réseau Choletbus** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6294d9e0a420a2eb83a6c3b6
## Description
GTFS
## License
Lic... | 359 | 5 | normal |
reasoning-degeneration-dev/unique-names-Qwen3-4B-Thinking-2507-random_noise-32k | none | 0.931 | code | 0.0643 | null | [
"degen_test_1_unique_names",
"budget-32k",
"random_noise",
"inference-engine"
] | # unique-names-Qwen3-4B-Thinking-2507-random_noise-32k
Unique name sampling with random_noise strategy to 32768 tokens
## Dataset Info
- **Rows**: 10
- **Columns**: 11
## Columns
| Column | Type | Description |
|--------|------|-------------|
| question | Value('string') | The initial prompt (Sample a unique name)... | 2,760 | 3 | normal |
corsac/2025-08-24_10-47-33_ticker_w_yj_date_only.lyt | none | 0.524 | climate | 0.2403 | null | [] | 0 | 4 | normal | |
elene234/Qwen3-235B-A22B-FP8-sudoku-sft | none | 0.7193 | code | 0.1031 | null | [] | 0 | 4 | normal | |
mlfoundations-dev/d1_code_long_paragraphs_10k | none | 0.5224 | code | 0.3765 | null | [] | 0 | 6 | normal | |
Lots-of-LoRAs/task1414_ajgt_twitter_ar_classification | none | 0.9176 | biology | 0.0535 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1414_ajgt_twitter_ar_classification
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- *... | 2,314 | 10 | normal |
raultherockstar1/nyayasathi2_part_0 | none | 0.7815 | code | 0.0533 | null | [] | 0 | 5 | normal | |
xDAN2099/openMath_instruct2_train_5M | math | 0.5347 | none | 0.1584 | null | [] | 0 | 18 | normal | |
shuohsuan/grasp_data_350_359 | none | 0.9231 | code | 0.0729 | 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",
"... | 3,574 | 4 | normal |
ai-forever/ru-scibench-grnti-classification | none | 0.7057 | climate | 0.0822 | null | [] | 0 | 884 | normal | |
tjisousa/EuroSAT-InstructCaptions-Test | none | 0.2801 | code | 0.1965 | null | [] | 0 | 3 | normal | |
KangsanKim71/MA-EgoQA | none | 0.9388 | code | 0.0443 | null | [] | # MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
[**Project Page**](https://ma-egoqa.github.io) | [**Paper**](https://huggingface.co/papers/2603.09827) | [**GitHub**](https://github.com/KangsanKim07/MA-EgoQA)
**MA-EgoQA** (Multi-Agent Egocentric Video Question Answering) is a benchm... | 1,918 | 252 | normal |
HaruthaiAi/VanGogh_OliveTrees1889_Scotland_vs_TreeOil_TorqueBrush_18Tech_Analysis | none | 0.6332 | biology | 0.2177 | null | [] | # Van Gogh Olive Trees (1889, Scotland) vs Tree Oil Painting – TorqueBrush & 18-Tech Comparative Analysis
This dataset presents a detailed brushstroke forensic comparison between Vincent van Gogh’s *Olive Trees* (1889, National Galleries Scotland) and the disputed artwork known as *The Tree Oil Painting*. Using AI Sun... | 5,629 | 16 | normal |
a24z7km/health-pdf-data | none | 0.9504 | code | 0.024 | null | [] | 「健康づくりのための睡眠ガイド2023.pdf」
康性労働省,2023,https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/suimin/index.html,(参照：2025年7月15日)
「健康づくりのための身体活動・運動ガイド2023.pdf」
厚生労働省,2023,https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/undou/index.html,(参照：2025年7月15日)
「健康日本21(第三次)推進のための説明資料①.pdf」
「... | 577 | 41 | normal |
yasnansh/knowledge_queries_train | none | 0.3616 | climate | 0.1222 | null | [] | 0 | 19 | normal | |
premkumarelangovan/HumanAIStaxNoPromptMixedLength | none | 0.3891 | legal | 0.2837 | null | [] | 0 | 4 | normal | |
joyfine/router_PEFT_data_Science_v2_Qwen3-8B_30_70 | none | 0.5211 | code | 0.1702 | null | [] | 0 | 9 | normal | |
PalaginID/generate_models_hw_1 | none | 0.3253 | chemistry | 0.258 | null | [] | 0 | 5 | normal | |
HungVu2003/opt-350m_beta_1.0_alpha_0.0_num-company_2_dataset_0_for_gen_7 | none | 0.8992 | code | 0.0304 | null | [] | 0 | 4 | normal | |
iiBLACKii/Gujarati_VDB_Male | biology | 0.6563 | none | 0.1957 | null | [] | 0 | 8 | normal | |
llama-duo/mistral-7b_0_3-summarize-locallm-response | none | 0.8426 | biology | 0.0683 | null | [] | 0 | 3 | normal | |
DaivdYuan/umi-bimanual-dish-washing-lerobot | none | 0.8761 | code | 0.1135 | null | [
"robotics",
"manipulation",
"umi-(core)",
"nmotion-initiative"
] | # Bimanual Dish Washing
## Overview
This dataset is a conversion from an upstream robotics dataset into **LeRobot v3-compatible format**.
It is intended to provide reproducible access in a unified schema.
## Source Dataset
- Dataset ID: `umi-bimanual-dish-washing`
- Project: `UMI (Core)`
- Task: `Bimanual Dish Washin... | 2,242 | 29 | normal |
zjhhhh/iter2_fullcheck_multi_scores_base_14 | none | 0.8259 | code | 0.0783 | null | [] | 0 | 5 | normal | |
Schmitz005/kaggle-recipe-categorized-chunk-4 | none | 0.6585 | code | 0.1308 | null | [] | 0 | 7 | normal | |
VerboVision/Captions_By_Geminis_vllm | none | 0.6169 | code | 0.1226 | null | [] | 0 | 0 | normal | |
taldatech/sketchy_128 | none | 0.917 | code | 0.0424 | null | [
"sketchy",
"open-x"
] | # Sketchy 128x128
This dataset is a pre-processed version of the Sketchy dataset (originally from DeepMind and the Open-X Embodiment effort) used in the paper [Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling](https://huggingface.co/papers/2603.04553).
The data has been pre-pr... | 1,376 | 48 | normal |
dgambettaphd/D_llm2_run2_gen4_S_doc1000_synt64_lr1e-04_acm_SYNLAST | none | 0.7735 | code | 0.0971 | null | [] | 0 | 5 | normal | |
yuxuanw8/imdb_sft-test_lm-gpt2-large-imdb-chipo-1ep-rmax-1010_42_250_504 | none | 0.7803 | code | 0.1277 | null | [] | 0 | 6 | normal | |
rweics5cs7/66a383e8eca806a0ab99f92d14721238 | none | 0.6635 | biology | 0.0847 | null | [] | 0 | 5 | normal | |
OrionBench/OrionBench | none | 0.8658 | code | 0.1168 | null | [] | 
Given the central role of charts in scientific, business, and communication contexts, enhancing the chart understanding capabilities of vision-language models (VLMs) has become increasingly critical. A key limitation of existing VLMs lies in their inaccurate visual grounding of infographic eleme... | 2,788 | 264 | normal |
SEACrowd/filipino_hatespeech_tiktok | none | 0.8031 | cybersecurity | 0.0861 | null | [
"sentiment-analysis"
] | The dataset contains annotated hate speech from transcribed Tiktok videos, mostly in Taglish (codemixed Tagalog and Cebuano) collected via an unofficial Tiktok API.
Most of the domain and context of the videos are related to politics and general elections in the Philippines. Labeling: 0 - no hate speech, 1 - recognized... | 3,464 | 30 | normal |
Abderlrahman/panda_mujoco_lerobot | none | 0.4668 | biology | 0.1902 | null | [] | 0 | 98 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_02e4ee11-0d05-40b7-a420-00c88e897031 | none | 0.6081 | code | 0.1967 | null | [] | 0 | 4 | normal | |
lowlorenz/hh-rlhf-preference-dataset | none | 0.6161 | chemistry | 0.0955 | null | [] | 0 | 7 | normal | |
ayatakagreentea/epi4 | none | 0.9102 | code | 0.0852 | 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"... | 3,725 | 24 | normal |
zaai-ai/time_series_datasets | none | 0.4627 | finance | 0.3418 | null | [] | # Tourism Monthly Time Series Dataset with Economic and Static Covariates
This dataset, originally sourced from Athanasopoulos et al. (2011), focuses on the tourism industry with a monthly frequency and has been enhanced with economic covariates (e.g., CPI, Inflation Rate, GDP) from official Australian government sour... | 2,703 | 47 | normal |
snakewithlegs/carlaSeg | none | 0.5468 | code | 0.1326 | null | [] | 0 | 8 | normal | |
BRlkl/toxic-chat-pt | none | 0.5061 | biology | 0.0967 | null | [] | 0 | 5 | normal | |
arushisinha98/worldbank-download | none | 0.3939 | finance | 0.1351 | null | [] | 0 | 26 | normal | |
Aletheia-Bench/Aletheia-DPO | code | 0.98 | none | 0.0141 | null | [] | <font size=3><div align='center' >
[[**🤗 Model & Dataset**](https://huggingface.co/Aletheia-Bench)]
[[**📊 Code**](https://github.com/insait-institute/aletheia)]
[[**📖 Paper**](https://arxiv.org/)]
</div></font>
# Aletheia: What Makes RLVR For Code Verifiers Tick?
Multi-domain thinking verifiers trained via Rein... | 3,687 | 11 | new_discovery |
harpreetsahota/visual_ai_at_neurips2025_jina_with_ocr | none | 0.8632 | code | 0.0503 | null | [
"fiftyone",
"image",
"image-classification",
"object-detection"
] | # Dataset Card for harpreetsahota/visual_ai_at_neurips2025_jina_with_ocr
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1134 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
... | 4,646 | 8 | normal |
geekyrakshit/rust-issues | code | 0.2705 | none | 0.182 | null | [] | 0 | 7 | boundary | |
rshwndsz/ambrosia-ranking-binarised-pcr | none | 0.5288 | code | 0.2583 | null | [] | 0 | 6 | normal | |
OpenLLM-Ro/ro_dpo_ultrafeedback | none | 0.851 | code | 0.0916 | null | [] | ### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
[UltraFeedback](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned) dataset contains 60k preference data.
Here we provide the Romanian translation of the UltraFeedback dataset, translated with GPT-4o mi... | 1,262 | 28 | normal |
MLforHealthcare/vqa-rad-instructions | none | 0.6012 | medical | 0.2536 | medical | [
"medical"
] | 0 | 12 | tag_disagree | |
patiofrida/patiofrida-dataset-5010 | none | 0.9335 | chemistry | 0.0378 | null | [] | # patiofrida-dataset-5010
Processed **subset** dataset for instruction-following experiments.
## Details
- Samples: 247
- Streaming-based sampling (no full download)
- Fields: instruction / input / output
## Source
Derived from: https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k
## Notes
- Subset only (no... | 363 | 10 | normal |
dgambettavuw/D_gen2_run0_llama2-7b_xlsum_doc1000_real32_synt96_vuw | none | 0.7488 | code | 0.1703 | null | [] | 0 | 4 | normal | |
RylanSchaeffer/collapse_gemma-2-27b_hs2_accumulate_iter1_sftsd0_temp1_max_seq_len512 | none | 0.6222 | chemistry | 0.1916 | null | [] | 0 | 4 | normal | |
Dongkkka/ffw_bg2_rev4_1208_grasp_crate | none | 0.8865 | code | 0.1028 | 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",
"... | 3,647 | 22 | normal |
oserikov/ad-ud-cat-main | none | 0.4592 | code | 0.1534 | null | [] | 0 | 5 | normal | |
j-min/layoutbench | none | 0.5688 | code | 0.4091 | null | [] | # LayoutBench
Release of LayoutBench dataset from [Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation (CVPR 2024 Workshop)](https://layoutbench.github.io/)
See also [LayoutBench-COCO](https://huggingface.co/datasets/j-min/layoutbench-coco) for zero-shot evaluation on OOD layouts with rea... | 7,076 | 641 | normal |
Svngoku/histoire-coloniale-postcoloniale-de-la-france-cameroun | none | 0.9249 | biology | 0.0177 | null | [] | 0 | 3 | normal | |
Huggmachas/GLuecos_NER_EN_HI | biology | 0.3819 | none | 0.2808 | null | [] | 0 | 4 | boundary | |
cvfinal/image2biomass_data | biology | 0.6143 | none | 0.1627 | null | [] | Due to image copyright issues, please move to https://www.kaggle.com/competitions/csiro-biomass/data | 100 | 9 | normal |
trucddx/yelp_seed100 | none | 0.4541 | climate | 0.206 | null | [] | 0 | 23 | normal | |
1231czx/fixed_beta05_llama3_sft_math_type12_8ktype4_and_6ktype3_no_sft_loss600tmp10_vllmexp | none | 0.8169 | chemistry | 0.0838 | null | [] | 0 | 4 | normal | |
grimjim/llm-aes-writing-prompts-deduplicated-0.9-similarity | none | 0.7849 | code | 0.1399 | null | [] | 0 | 6 | normal | |
Nutanix/grpo-opencoder-50k | none | 0.7022 | code | 0.1786 | null | [] | # grpo-opencoder-50k
This dataset was created by converting another dataset to JSONL format.
## Files
- `dataset.jsonl`: Dataset in JSONL format
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Nutanix/grpo-opencoder-50k", data_files="dataset.jsonl")
``` | 288 | 8 | normal |
saepark/preprocessed-pubmedqa-claudebothresponse-mimicrollouts-harmfulstart | code | 0.3178 | none | 0.3027 | null | [] | 0 | 5 | boundary | |
KadeeNq022/Kaleb | none | 0.6362 | code | 0.1033 | null | [] | 0 | 7 | normal | |
AdleBens/index_index | none | 0.9388 | code | 0.05 | null | [
"phosphobot",
"so100",
"phospho-dk1"
] | # index_index
**This dataset was generated using a [phospho dev kit](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 294 | 7 | normal |
1231czx/rebuttal_rrm_bon_n8 | biology | 0.2939 | none | 0.2277 | null | [] | 0 | 5 | boundary | |
VanishD/CodeGym | code | 0.9958 | none | 0.0026 | null | [] | # Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
**CodeGym** is a synthetic environment generation framework for LLM agent reinforcement learning on multi-turn tool-use tasks. It automatically converts static code problems into interactive and verifiable CodeGym environments where agents can learn to use ... | 4,257 | 1,203 | new_discovery |
ywilliam-face/uplimit-synthetic-data-week-1-with-evol | none | 0.915 | code | 0.0617 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for uplimit-synthetic-data-week-1-with-evol
This da... | 6,065 | 5 | normal |
french-open-data/zonage-de-l-assainissement-grandsoissons-agglomeration | cybersecurity | 0.669 | none | 0.268 | null | [
"assainissement",
"dataset_for_agent"
] | # Zonage de l'assainissement - GrandSoissons Agglomération
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Zonage de l'assainissement - GrandSoissons Agglomération** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/685ceea28c037719b4f396c... | 776 | 9 | normal |
Stergios-Konstantinidis/MNLP | biology | 0.512 | none | 0.2555 | null | [] | 0 | 4 | normal | |
HHS-Official/nchs-vsrr-quarterly-provisional-estimates-for-sele | medical | 0.5385 | none | 0.4388 | null | [
"hhs",
"cdc",
"age",
"cancer",
"cirrhosis",
"coronavirus",
"covid-19",
"deaths",
"diabetes",
"falls",
"homicide",
"influenza",
"mortality",
"nchs",
"nvss",
"pneumonia",
"provisional",
"quarterly",
"septicemia",
"sex",
"state",
"suicide",
"vsrr"
] | # NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality
## Description
Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency... | 1,008 | 5 | boundary |
cvis-tmu/llamafactory-sqa3d-traces-multiimage-vqa_R0.0_C0.0_F0.0_X1.0 | code | 0.4785 | none | 0.3899 | null | [] | 0 | 11 | boundary | |
nayohan/feedback-collection-ko-chat | none | 0.5856 | code | 0.1195 | null | [] | 0 | 9 | normal | |
Codexankit/items-prompt-lite | code | 0.3391 | none | 0.3193 | null | [] | 0 | 21 | boundary | |
ermandmand/humanoid-training-data | none | 0.8734 | code | 0.0686 | null | [] | Training dataset for humanoid robot experiments. | 48 | 4 | normal |
maanas-writer/memagent_eval_200 | none | 0.5001 | code | 0.1582 | null | [] | 0 | 6 | normal | |
LLMTeamAkiyama/nvidia_OpenMathInstruct-2 | math | 0.9724 | none | 0.0225 | null | [] | データ元：'nvidia/OpenMathInstruct-2'
データ数 : 13972789
最大トークン数 : 3,758 (total token < 4000で処理)
平均トークン数 : 1,653
2025/7/27 matsumoto | 128 | 32 | new_discovery |
dmitriihook/qwq-32b-planning-mystery-6-24k-greedy | none | 0.8064 | code | 0.1745 | null | [
"distilabel",
"rlaif"
] | <p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for qwq-32b-planning-mystery-6-24k-greedy
This data... | 126,658 | 3 | normal |
qwselfcorr/qwen2_it_math_test_tmp07_external_orm | chemistry | 0.358 | none | 0.3245 | null | [] | 0 | 5 | boundary | |
ankner/MATH-CoT | chemistry | 0.3393 | none | 0.2159 | null | [] | 0 | 22 | boundary | |
WzXHa/ffmpeg-nonvalidation | none | 0.8787 | climate | 0.0385 | null | [] | # WzXHa/ffmpeg-nonvalidation
## Files
- data/train.jsonl | 57 | 3 | normal |
HennersBro98/reasoning-s1K-1.1-noxml | none | 0.4316 | math | 0.1744 | null | [] | 0 | 4 | normal | |
jjz5463/DoorDash_synthetic_sitemap | none | 0.5296 | finance | 0.4077 | null | [
"datadreamer",
"datadreamer-0.38.0",
"gpt-4"
] | # Dataset Card
[Add more information here](https://huggingface.co/datasets/templates/dataset-card-example)
---
This dataset was produced with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card can be found [here](datadreamer.json). | 253 | 47 | normal |
superbeer/62 | none | 0.5482 | code | 0.0969 | null | [] | 0 | 2 | normal | |
heshamelmahdi/egyptian-arabic-orpheus-tokenized | none | 0.9023 | legal | 0.0213 | null | [] | 0 | 3 | normal | |
walzen/gigaword | none | 0.8857 | code | 0.0977 | null | [] | # Gigaword (Repackaged)
Putting it here for better accessibility.
## Description
Headline-generation on a corpus of article pairs from Gigaword consisting of around 4 million articles. Use the 'org_data' provided by https://github.com/microsoft/unilm/ which is identical to https://github.com/harvardnlp/sent-summary ... | 1,743 | 55 | normal |
FrancophonIA/Wolof_Vocabulary_Vegetables_and_Food | biology | 0.4697 | none | 0.4561 | null | [] | > [!NOTE]
> Dataset origin: https://wolofresources.org/language/vocab/vegetable.htm
Note : site à parser | 105 | 35 | boundary |
MSHADroo/dml_task_1 | none | 0.4151 | climate | 0.1488 | null | [] | 0 | 12 | normal | |
zjhhhh/iter2_7b_multi_perprompt_scores_adversary_15 | none | 0.8151 | code | 0.0829 | null | [] | 0 | 3 | normal | |
tulasi03/medqa_withprompt | none | 0.3845 | finance | 0.321 | 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 | 5 | normal |
TerminatorJ/pairs_dataset | none | 0.6687 | code | 0.085 | null | [] | 0 | 16 | normal | |
SaeedLab/dom-formula-assignment-data | chemistry | 0.9959 | none | 0.0015 | chemistry | [
"chemistry",
"mass-spectrometry",
"DOM",
"formula-assignment",
"knn",
"dissolved-organic-matter",
"molecular-formula"
] | # DOM Formula Assignment Dataset
[](https://github.com/pcdslab/dom-formula-assignment-using-ml)
**Training and Testing Data for A Machine Learning and Benchmarking Approach for Molecular Formula Assignment of Ul... | 4,863 | 84 | normal |
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