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datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01Stereotypes-in-LLMs /hiring-analyses-second_model_verification-entext10K<n<100K0 likes108 downloads2y agoHugging Face02Stereotypes-in-LLMs /hiring-analyses-recruiter_guidelines-entext10K<n<100K1 likes66 downloads2y agoHugging Face03Stereotypes-in-LLMs /hiring-analyses-ignore_personal_info-entext10K<n<100K0 likes53 downloads2y agoHugging Face04Stereotypes-in-LLMs /hiring-analyses-reasoning-entext10K<n<100K1 likes47 downloads2y agoHugging Face05Stereotypes-in-LLMs /hiring-analyses-recruiter_guidelines-uktext10K<n<100K0 likes46 downloads2y agoHugging Face06midah /pairwise_analyses License Pairwise Analyses Pairwise permissiveness verdicts across software and AI licenses, produced by three LLMs under the v4 prompt, plus the derived consensus ordering and Hasse diagram. Covers two corpora: the 93-license Hugging Face Hub-selectable set and the full 747-license SPDX + AI canonical corpus. Layout hf/ (93-license Hugging Face subset, 4,278 pairs) ├── consensus_order.json Consensus verdict per… See the full description on the dataset page: https://huggingface.co/datasets/midah/pairwise_analyses.tabular100K<n<1M0 likes44 downloads5mo agoHugging Face07Stereotypes-in-LLMs /hiring-analyses-baseline-entext10K<n<100K3 likes38 downloads2y agoHugging Face08Stereotypes-in-LLMs /hiring-analyses-baseline-uktext10K<n<100K0 likes32 downloads2y agoHugging Face09Stereotypes-in-LLMs /hiring-analyses-zero_shot_cot-entext10K<n<100K0 likes32 downloads2y agoHugging Face10electricsheepafrica /africa-deep-extracts-sudan-2023-situational-analyses DEEP extracts related to the Sudan 2023 Situational Analyses | Africa (original) Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-deep-extracts-sudan-2023-situational-analyses.tabulartabular-classificationn<1K0 likes32 downloads2mo agoHugging Face11Stereotypes-in-LLMs /hiring-analyses-optimized_parameters-entext10K<n<100K1 likes29 downloads2y agoHugging Face12Stereotypes-in-LLMs /hiring-analyses-reasoning-uktext10K<n<100K1 likes27 downloads2y agoHugging Face13Stereotypes-in-LLMs /hiring-analyses-ignore_personal_info-uktext10K<n<100K0 likes19 downloads2y agoHugging Face14Stereotypes-in-LLMs /hiring-analyses-optimized_parameters-uktext10K<n<100K0 likes17 downloads2y agoHugging Face15Stereotypes-in-LLMs /hiring-analyses-second_model_verification-uktext10K<n<100K0 likes16 downloads2y agoHugging Face16electricsheepafrica /africa-deep-extracts-sudan-2024-situational-analyses DEEP extracts related to the Sudan 2024 Situational Analyses | Africa (original) Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Public datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-deep-extracts-sudan-2024-situational-analyses.tabulartabular-classificationn<1K0 likes15 downloads2mo agoHugging Face17Stereotypes-in-LLMs /hiring-analyses-zero_shot_cot-uktext10K<n<100K0 likes12 downloads2y agoHugging Face18RadicalNotionAI /community-analysestabularn<1K0 likes3 downloads6mo agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.