File formats
Azmaval reads CSV, TSV, JSON, JSON Lines and Label Studio exports, and writes JSONL, CSV, Parquet, Label Studio JSON and CoNLL. Each page lists what a file must contain, an example, and the limits.
CSV
Paste or upload a CSV and Azmaval reads the header, guesses each column's type and builds the review screen. CSV is also an export format.
TSV
Tab, semicolon and pipe separated files import the same way as CSV. The delimiter is detected, so you do not choose it.
JSON Lines
One JSON object per line. Import keeps your fields as columns, and export gives one result record per sample, ready for a training pipeline.
JSON
A JSON file that is a list of objects imports like a table. Keys are columns. Label Studio exports are recognised automatically.
Label Studio JSON
Drop in a Label Studio export and get a working campaign with the questions rebuilt. Export results back in Label Studio's task format.
CoNLL (BIO)
Campaigns with span questions export in CoNLL format: one token per line with a BIO tag, the format most NER training code reads.
Parquet
A columnar export for analysis in pandas, DuckDB or Spark. The consensus result and its agreement are separate typed columns.