We just added a Hugging Face Datasets integration to fenic<\/strong><\/p>\n You can now publish any fenic snapshot<\/em> as a versioned, shareable dataset<\/strong> on the Hub and read it directly using “`python<\/p>\n df = session.read.csv(“hf:\/\/datasets\/datasets-examples\/doc-formats-csv-1\/data.csv”)<\/p>\n df = session.read.parquet(“hf:\/\/datasets\/cais\/mmlu\/astronomy\/*.parquet”)<\/p>\n df = session.read.parquet(“hf:\/\/datasets\/datasets-examples\/doc-formats-csv-1@~parquet\/*\/<\/em>.parquet”) “` This makes it easy to version and share agent contexts, evaluation data, or any reproducible dataset across environments.<\/p>\n Docs: https:\/\/huggingface.co\/docs\/hub\/datasets-fenic<\/a> Repo: https:\/\/github.com\/typedef-ai\/fenic<\/a><\/p>\n<\/div>\n submitted by \/u\/cpardl <\/a> hf:\/\/<\/code> URLs.<\/p>\nExample<\/h3>\n
Read a CSV file from a public dataset<\/h1>\n
Read Parquet files using glob patterns<\/h1>\n
Read from a specific dataset revision<\/h1>\n
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