Datasets:
SQLite inspection mirror
sphragis.sqlite mirrors every row and column of all four canonical Parquet
configurations. It is intended for convenient local inspection; Parquet remains
the canonical benchmark representation.
Each configuration is a table named after the configuration, for example
sentence_10. List-valued Parquet columns are stored as compact JSON
text. _split_row_index records the original physical row order within each
split. _mirror_manifest records row counts, column lists, and content hashes.
The top-level text column is a JSON list: one string for atomic rows and one
string per constituent sentence or line for fixed-size chunks. For example,
retrieve the ten separate sentences in the first validation row as follows:
sqlite3 -readonly -line inspection/sphragis.sqlite \
"SELECT key AS sentence_index, value AS sentence
FROM json_each((
SELECT text FROM sentence_10
WHERE split = 'validation'
ORDER BY _split_row_index LIMIT 1
));"
The top-level conllu column is also a JSON list with one CoNLL-U document per
corresponding text unit. SQLite's json_each() can inspect these documents in
the same way.
List the available tables with:
sqlite3 -readonly inspection/sphragis.sqlite ".tables"
Regenerate and validate the mirror from the Parquet files with:
python scripts/build_sqlite_mirror.py
python scripts/build_sqlite_mirror.py --check