datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
c4-en-html-with-metadatac4-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_allreal-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.synthetic-kv-qwen3-8b-with-metadata
Synthetic KV Qwen3 8B — metadata-enhanced 64K
This dataset is an exact key-value retrieval benchmark. The context begins
with a short schema and task description, followed by records in the form
[KEY: VALUE]. Each question asks for the value belonging to one exact key.
The context is intentionally stored once in compact JSONL format. The
questions[i] entry corresponds to answers[i].
Paper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_RELATION_vqc_both-datasetPaper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_DEFINITION_RELATION_vqc_both-datasetPaper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_DEFINITION_vqc_both-datasetPaper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_RELATION_SUMMARIZE_vqc_both-datasetPaper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_RELATION_vqc_both_normalized-datasetPaper_1_BioASQBlurb_5_formated_metadata_MetadataMethod.WITH_RELATION_vqc_hetionet-dataset