datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wdc-common-crawl-embedded-jsonldjson-ld-schema-meta-tag-extractor-sample-data
JSON-LD Schema & Meta Tag Extractor
Extract JSON-LD/Schema.org structured data, Meta tags, OpenGraph and Twitter Cards from any URL. Get page title + meta description with a clean JSON output for SEO audits, validation, competitor research and AI datasets. Proxy-ready for large crawls.
What the actor scrapes
🧩 JSON-LD Schema & Meta Tag Extractor — Scrape Schema.org, OpenGraph & Meta Tags Extract structured data and SEO metadata from any webpage in seconds. This… See the full description on the dataset page: https://huggingface.co/datasets/logiover/json-ld-schema-meta-tag-extractor-sample-data.wim-instruct-signaalberichten-to-jsonld-agent-steps
Dataset Card for UWV/wim_instruct_signaalberichten_to_jsonld_agent_steps
Dataset Summary
This dataset contains 116,056 instruction-following examples from a production pipeline that converts Dutch municipality complaint messages (signaalberichten) into structured JSON-LD knowledge graphs using Schema.org vocabulary. Each example represents an atomic LLM call from a 4-stage agent pipeline designed to extract semantic information from citizen-government communications.
The… See the full description on the dataset page: https://huggingface.co/datasets/UWV/wim-instruct-signaalberichten-to-jsonld-agent-steps.wim-instruct-wiki-to-jsonld-agent-steps
Dataset Card for UWV/wim_instruct_wiki_to_jsonld_agent_steps
Dataset Summary
This dataset contains instruction-following examples for training language models on the task of converting
unstructured Wikipedia text to structured JSON-LD format using Schema.org vocabulary.
Each example represents a single step in a multi-agent pipeline where different specialized models handle entity
extraction, schema retrieval, knowledge graph transformation, and validation.
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/UWV/wim-instruct-wiki-to-jsonld-agent-steps.jsonl-datasetjsonl-datasetbuzz_sources_356_jsonldjsonl-datajsonl-dataset
Dataset Name
jsonl-dataset
Fields
instruction: The task or question
input: Optional context or input
output: The expected response
Data Splits
Training: X examples
Validation: Y examples
Usage
from datasets import load_dataset
dataset = load_dataset("MohamedQiqa/jsonl-dataset")
jsonl-dataset