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Download README.md from MonumentalSystems/pg19-filtered-enriched-v1: direct link, hf CLI and curl.
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- Download file 1.41 kB
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https://huggingface.co/datasets/MonumentalSystems/pg19-filtered-enriched-v1/resolve/main/README.md
- Command line
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hf download hf://datasets/MonumentalSystems/pg19-filtered-enriched-v1/README.md
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curl -L -o README.md https://huggingface.co/datasets/MonumentalSystems/pg19-filtered-enriched-v1/resolve/main/README.md
1.41 kB
metadata
language:
- en
license: unknown
tags:
- text
- corpus
- literature
- project-gutenberg
- pg19
pretty_name: PG-19 Filtered Enriched
configs:
- config_name: default
data_files:
- split: train
path: data/*.jsonl
PG-19 Filtered Enriched
This dataset contains the PG-19 portion of the MonumentalSystems text pipeline, exported as cleaned JSONL shards.
What is included
498JSONL shard files underdata/299,410chunk rows total- the original filtered PG-19 portion
- the continued
0364-0573PG-19 tail processed through the same cleaner, chunker, quality scorer, and DataTrove filtering path
Row fields
Each row includes the original chunk text plus pipeline metadata such as:
- source coordinates (
source_ref,file_index,doc_index,chunk_index) - dedup fingerprints (
checksum,normalized_checksum,alnum_checksum) - quality and curriculum fields (
reading_level,complexity,difficulty,flesch,mtld,quality_pass,quality_reason) - semantic labels (
content_type,subject,subject_detail,title_hint)
Notes
- This export is PG-19-only, not the full text corpus.
- The continuation portion was exact-deduped against the existing PG-19 filtered corpus before export.
title_hint,subject, andsubject_detailare heuristic enrichment fields and should be treated as best-effort metadata rather than bibliographic ground truth.