mats-sql-bundle / code /CANONICAL.md
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Push code: scripts, slurm sbatch, recipes, utils (v3 + selector series)
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Canonical Planner Pipeline

ONE configuration. No variants.

Schema sequence format (used in BOTH train and dev prompts)

table T , columns = [
  T.col | [primary key ;] type: {text|integer|real} ; [meaning: <column_description from BIRD CSV> ;] [value description: <value_description from BIRD CSV> ;] [has None ;] [values: <BM25-retrieved-top-k for question>]
  ...
]
foreign keys:
T1.c1 = T2.c2
...

All five fields used (when applicable):

  1. type / primary key — from SQLite PRAGMA
  2. meaningcolumn_description from bird/<split>/<db>/database_description/*.csv
  3. value descriptionvalue_description from same CSV
  4. has None — count of NULL values > 0 in column
  5. values — top-2 BM25 hits for the question against db_contents_index/<db>/<table>-**-<column>/. Falls back to first indexed doc if BM25 returns no query-relevant hits.

Files

Asset Path
Training data data/sft_planner_canonical/
Dev prompts data/bird_dev_planner_prompts.json
Training recipe alignment-handbook/recipes/llama-1b-bird/planner-fft-canonical.yaml
Trained checkpoint alignment-handbook/output/planner-canonical/
Builder for dev prompts scripts/build_canonical_prompts.py
BM25 server db_content_retrieval/lsh_api.py (start with --lazy_load --db_content_index bird-dev)

How to rebuild dev prompts from scratch

# 1) Start BM25 server (lazy_load avoids OOM)
JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64 JAVA_TOOL_OPTIONS=-Xmx12g \
python db_content_retrieval/lsh_api.py --port 8005 --db_content_index bird-dev --lazy_load &

# 2) Build canonical dev prompts
python scripts/build_canonical_prompts.py \
    --source bird-dev \
    --data data/sft_bird_with_evidence_dev_text2sql.json \
    --bird_dir data/bird/dev/dev_databases \
    --out data/bird_dev_planner_prompts.json

How to retrain

cd alignment-handbook
PYTHONPATH=src/ accelerate launch \
  --config_file recipes/accelerate_configs/single_gpu0_local.yaml \
  scripts/run_sft.py \
  recipes/llama-1b-bird/planner-fft-canonical.yaml

Eval

python scripts/run_eval_vllm.py \
  --model alignment-handbook/output/planner-canonical \
  --tokenizer_template qwen \
  --prompts_json data/bird_dev_planner_prompts.json \
  --output_dir eval_results/planner-canonical-bird-dev \
  --skip_pass_k --max_model_len 8192 --max_tokens 1024 --dtype bfloat16