A new, comprehensive database of all proceedings of the Australian Parliamentary Debates (1998-2022)
Bibliographic record
Abstract
This database contains a CSV file for each sitting day in the Australian Parliament by the House of Representatives from 02 March 1998 to 08 September 2022. In addition to the individual CSV files, this version contains a ZIP file with all the CSVs (main-filled-csv-v2.zip), and a ZIP File with all the files in Parquet format (main-filled-parquet-v2.zip). These files were parsed entirely from the XML Hansard transcripts available on the Australian Parliament website. We developed four R scripts to parse and clean all of these XML files, and ran each file through two additional scripts: one to fill in missing speaker details, and one to validate each file using a suite of 7 automated tests. All scripts used to build this database are available at https://github.com/lindsaykatz/hansard-proj. Version 2 contains data on an additional 13 years of Hansard records, and all data in this version were parsed using a slightly different approach than what was used in version 1, which allows for better preservation of the correct chronological ordering of statements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".