datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagefolder_with_metadatac4-en-html-with-metadata5000-podcast-conversations-with-metadata-and-embedding-dataset
🗂️ ReadyAI - 5,000 Podcast Conversations with Metadata and Embedding Dataset
ReadyAI, operating subnet 33 on the Bittensor Network is an open-source initiative focused on low-cost, resource-minimal pipelines for structuring raw data for AI applications.
This dataset is part of the ReadyAI Conversational Genome Project, leveraging the Bittensor decentralized network.
AI runs on structured data — and this dataset bridges the gap between raw conversation transcripts and structured… See the full description on the dataset page: https://huggingface.co/datasets/ReadyAi/5000-podcast-conversations-with-metadata-and-embedding-dataset.c4-en-html-with-metadata-ppl-cleanFile list:
"c4-en-html_cc-main-2019-18_pq00-000.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-001.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-002.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-003.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-004.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-005.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-006.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-007.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-008.jsonl.gz",
"c4-en-html_cc-main-2019-18_pq00-009.jsonl.gz"… See the full description on the dataset page: https://huggingface.co/datasets/masoudjs/c4-en-html-with-metadata-ppl-clean.c4-en-html-with-training_metadata_alldataset_cards_with_metadatamodel_cards_with_metadataswe_gym_with_metadata_etashswebench_test_with_pr_metadataworldcuisines_format_sea_country_only_with_metadatarag-mini-bioasq-with-metadataThis dataset is an extension of the rag-mini-bioasq dataset.
Its difference resides in the text-corpus part of the aforementioned set where the metadata was added for each passage.
Metadata contains six separate categories, each in a dedicated column:
Year of the publication (publish_year)
Type of the publication (publish_type)
Country of the publication - often correlated with the homeland of the authors (country)
Number of pages (no_pages)
Authors (authors)
Keywords (keywords)
pmc_derma_VQA_with_metadata_processedreal-vehicle-images-with-visual-metadata-100k
真实车辆图片与视觉元信息测试数据集
数据集简介
本数据集可扩展至 10 万张真实车辆图片，本次上传人工筛选后的 1,000 张测试数据，覆盖轿车、公交车、客车和卡车，可用于车辆图像分类、目标检测、视觉识别、多模态训练及相关算法测试。
当前版本为测试数据集。如需更多图片、指定车辆类别或定制元信息，可扩展量级，欢迎通过邮件联系：xiehan@mykj.club。
数据概况
图片数量：1,000 张
图片格式：JPEG
最小短边：513px，全部不低于 512px
类别分布：109 张轿车、442 张公交车或客车、449 张卡车
文件命名：每张图片使用唯一文件名
内容去重：使用 SHA-256 进行内容级去重
标注形式：每张图片对应一个同名 JSON 文件
目录结构
vehicle_dataset_1000/
├── README.md
├── images/ # 车辆图片
│ └── vehicle_xxx.jpg
├──… See the full description on the dataset page: https://huggingface.co/datasets/MYtechnology/real-vehicle-images-with-visual-metadata-100k.datasets_with_metadata_and_summariesreal-plant-images-with-species-and-metadata
真实植物图像数据集
本数据集包含 10 万张真实植物图片，本次公开1000张，以及与图片一一对应的 JSON 元信息文件。数据覆盖多种植物物种，每张图片均提供物种名称、图像尺寸、质量信息、来源链接、许可证及署名信息，并使用 SHA-256 哈希值辅助文件校验与去重。
当前数据集中图片短边尺寸为 419～1024 像素。全部 JSON 文件均已通过格式解析检查。
数据集用途
本数据集可用于植物图像分类、植物物种识别、生物多样性研究、植物图像检索、计算机视觉模型训练与评估、多模态学习、数据清洗及教学演示等场景。
文件结构
Plant images and metadata/
├── 0001_394891155.jpg # 植物图片
├── 0001_394891155.json # 与图片同名的 JSON 元信息
├── 0002_394892202.jpg
├── 0002_394892202.json
└── ...
图片与 JSON 文件使用相同的文件名主体，可通过… See the full description on the dataset page: https://huggingface.co/datasets/MYtechnology/real-plant-images-with-species-and-metadata.meta_data_annual_reports_tokenized_llama3_8b_with_logged_return_matrixreal-animal-images-with-species-and-metadata
真实动物图像数据集
本数据集包含 10 万张真实动物图片，本次公开1000张，以及与图片一一对应的 JSON 元信息文件。数据覆盖多种动物物种，每张图片均提供物种名称、图像尺寸、质量信息、来源链接、许可证及署名信息，并使用 SHA-256 哈希值辅助文件校验与去重。
当前数据集中图片短边尺寸为 213～1024 像素。全部 JSON 文件均已通过格式解析检查。
数据集用途
本数据集可用于动物图像分类、物种识别、生物多样性研究、图像检索、计算机视觉模型训练与评估、多模态学习、数据清洗及教学演示等场景。
文件结构
Animal images and metadata/
├── 0001_394885493.jpg # 动物图片
├── 0001_394885493.json # 与图片同名的 JSON 元信息
├── 0002_394885471.jpg
├── 0002_394885471.json
└── ...
图片与 JSON 文件使用相同的文件名主体，可通过… See the full description on the dataset page: https://huggingface.co/datasets/MYtechnology/real-animal-images-with-species-and-metadata.dataset_cards_with_metadata_with_sample_rowsdhivehi-english-pairs-with-metadata
Dhivehi–English Parallel Pairs with Metadata
The dhivehi-english-pairs-with-metadata dataset contains 56,029 aligned sentence pairs between Dhivehi (written in Thaana script) and English, automatically generated using a gemma-3 language model. Each sentence pair includes additional metadata such as the opinion expressed in the sentence, a general sentiment classification (Positive, Negative, or Neutral), the intent behind the statement (e.g., Inform, Request, Accuse), and its… See the full description on the dataset page: https://huggingface.co/datasets/alakxender/dhivehi-english-pairs-with-metadata.pmc_derma_VQA_with_metadatadataset_cards_with_metadata_with_embeddingsmodels_with_metadata_and_summariesdataset_cards_with_metadata_labelledcats-and-dogs-with-metadatamyTest-MMMU-mmeval-with-metadataend2end_textclassification_with_metadata
Dataset Card for end2end_textclassification_with_metadata
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when… See the full description on the dataset page: https://huggingface.co/datasets/argilla/end2end_textclassification_with_metadata.models_with_custom_codedataset_cards_with_metadataMAAT_documentary_with_DDbDP_and_HGV_metadataThis is dataset containing the documentary papyri from MAAT, with metadata from the HGV and DDbDP. The scripts in preprocessing/maat were used to generate these files. The processing is not perfect, but this should have metadata for most papyri where it was available.
The fields corpus_id, file_id, block_index, id, title, material, language, training_text and test_cases were derived from MAAT:
Fitzgerald, W., & Barney, J. (2024). The Machine-Actionable Ancient Text (MAAT) Corpus (1.0.0-beta)… See the full description on the dataset page: https://huggingface.co/datasets/willem640/MAAT_documentary_with_DDbDP_and_HGV_metadata.model_cards_with_metadata_with_embeddings
Dataset Card for Hugging Face Hub Model Cards with Embeddings
This dataset consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more.
This dataset is updated on a daily basis and includes publicly available models on the Hugging Face Hub.
This dataset is made available to help support users wanting to work with a large number of Model Cards… See the full description on the dataset page: https://huggingface.co/datasets/librarian-bots/model_cards_with_metadata_with_embeddings.