| """ |
| Generate enriched BIRD SFT data with CHESS-style DDL schema (value_description + column_description). |
| |
| Run from mats-sql-tist/ root: |
| JAVA_TOOL_OPTIONS="-Xmx6g" /home/datht/anaconda3/envs/mats/bin/python \ |
| db_content_retrieval/lsh_api.py --port 8005 --db_content_index bird-train & |
| sleep 30 |
| /home/datht/anaconda3/envs/mats/bin/python scripts/build_sft_data.py |
| |
| Outputs: |
| data/rebuttal_sft_bird_train_text2sql.json (9428 examples) |
| data/rebuttal_sft_bird_dev_text2sql.json (1534 examples) |
| """ |
| import os |
| import sys |
|
|
| ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) |
| os.chdir(ROOT) |
| sys.path.insert(0, ROOT) |
|
|
| from prepare_sft_datasets import spider_style_dataset |
|
|
| BM25_API = "http://localhost:8005" |
|
|
| print("=" * 60) |
| print("Building enriched BIRD train SFT data (9428 examples)...") |
| print("=" * 60) |
| spider_style_dataset( |
| dataset_path="./data/bird/train/train.json", |
| db_path="./data/bird/train/train_databases", |
| db_content_index_api=BM25_API, |
| source="bird-train", |
| table_json_path="./data/bird/train/train_tables.json", |
| use_evidence=True, |
| mode="train", |
| output_file="./data/rebuttal_sft_bird_train_text2sql.jsonl" |
| ) |
| print("✓ BIRD train SFT data done") |
|
|
| print() |
| print("=" * 60) |
| print("Building enriched BIRD dev SFT data (1534 examples)...") |
| print("=" * 60) |
| |
| |
| |
| |
| spider_style_dataset( |
| dataset_path="./data/bird/dev/dev.json", |
| db_path="./data/bird/dev/dev_databases", |
| db_content_index_api=BM25_API, |
| source="bird-dev", |
| table_json_path="./data/bird/dev/dev_tables.json", |
| use_evidence=True, |
| mode="dev", |
| output_file="./data/rebuttal_sft_bird_dev_text2sql.jsonl" |
| ) |
| print("✓ BIRD dev SFT data done") |
|
|
| print() |
| print("All SFT data generation complete.") |
| print("Output files:") |
| print(" data/rebuttal_sft_bird_train_text2sql.json") |
| print(" data/rebuttal_sft_bird_dev_text2sql.json") |
|
|