List the parquet files that actually exist in the dataset right now, grouped into judgments (by court), regulations (by issuing body), and legislation (by jurisdiction). Call this first -- it's how you find the exact court/state/body names the other tools expect, and it hands back the hf:// URI for each file for use with run_sql.

Set refresh=True to bypass the 15-minute cache and re-check the repo.

Return the real column names and types for a parquet file, given the hf:// URI you got from list_catalog. Use this before run_sql if you're not sure a field exists -- the plain court-judgment files don't have a schema documented anywhere.

Run a read-only SELECT against one or more Open India Law parquet files, referenced by the hf:// URIs from list_catalog, e.g.:

SELECT act_id, title, section_number, section_title
FROM read_parquet('hf://datasets/vaquill/open-india-law/in_central_legislation.parquet')
WHERE text ILIKE '%arbitration%' AND act_status = 'in_force'
ORDER BY year DESC

Only a single SELECT/WITH statement is allowed -- no DDL/DML, no multiple statements. limit is capped at 200 rows regardless of what the query asks for, since these files can be tens of GB and a filter still has to scan every row group it can't rule out via column stats. Narrow with a specific file (one court/state/regulator), a year range, and an indexed-looking equality filter (act_id, case_id) wherever you can -- it's the difference between a sub-second query and a slow scan.

Search Indian legislation at the section level for one jurisdiction.

• query: free-text search over the section text, act title and section title (ILIKE, so it's a substring match, not ranked relevance).

• state: jurisdiction slug, e.g. "central", "kerala", "west bengal". Fuzzy-matched against list_catalog's legislation_by_state keys.

• act_id: exact match, e.g. "IND_central_1860_45", if you already know it.

• in_force_only: excludes repealed/spent acts by default.

Each result includes source_url -- the authoritative government page for that exact provision.

Fetch every section of one Act, in section order.

state is optional -- it's inferred from the act_id itself when omitted (e.g. "IND_west_bengal_1947_12" implies state="west_bengal"). Pass it explicitly if that inference is wrong.

Search one regulator's instruments at the provision level, e.g. body="SEBI" or body="RBI". Same query semantics as search_legislation -- the regulator files share the same provision schema. Use list_catalog() to see which regulator slugs are currently published.

Full-text search over one court's judgment chunks.

court is required and fuzzy-matched (e.g. "Bombay", "bombay high court") against list_catalog()['courts'] -- searching all 26 courts in one call would mean scanning tens of millions of chunks. Narrow further with year_from/year_to when you can; it prunes row groups instead of reading them.

Results are individual chunks, not whole judgments -- use get_judgment with the returned case_id to reassemble the full text of any hit.

Reassemble a full judgment from its chunks, ordered by chunk index.