File size: 2,368 Bytes
dfdaf38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | from collections import Counter
from dataclasses import dataclass
import json
from pathlib import Path
import random
import shutil
from omegaconf import OmegaConf
from rich import print
from refined_v4.data import load_rows,write_rows,atomic_json,signature
from . import ROOT,TASKS
from .audit import authentic
from .data import documents
@dataclass
class Config:
source: str=str(ROOT/'variants/clear-reference-v1')
root: str=str(ROOT/'variants/clear-mixed-v1')
tokens: int=2097152
benchmark_fraction: float=.5
seed: int=6719
def build(config: Config):
source,root=Path(config.source),Path(config.root)
if (root/'dataset.json').exists():
raise ValueError('Mixture dataset already frozen')
report=json.loads((source/'dataset.json').read_text())
report.update(revision='clear-benchmark-mixture-v1',source=str(source),sft_tokens=config.tokens,
benchmark_draw_probability=config.benchmark_fraction,seed=config.seed)
for task in TASKS:
rows=load_rows(source,task,'sft')
shutil.copytree(source/'data'/task,root/'data'/task,dirs_exist_ok=True)
corpus=documents(rows,config.tokens,random.Random(config.seed),config.benchmark_fraction)
target=root/'sft'/task/'train.jsonl.gz'
write_rows(target,corpus)
lookup={r['source_id']:r for r in rows}
counts=Counter('benchmark' if authentic(lookup[e['source_id']]) else 'synthetic'
for doc in corpus for e in doc['examples'])
item=report['tasks'][task]
item.update(documents=len(corpus),document_example_counts=dict(Counter(len(d['examples']) for d in corpus)),
sft_sha256=signature(target),packed_example_origins=dict(counts),
mixture='Sample source origin first, then uniformly sample its programs; retain native complete few-shot documents.')
for split in ('sft','rl','calibration','dev','test'):
relative=Path('data')/task/(split+'.jsonl.gz')
assert signature(root/relative)==signature(source/relative)
atomic_json(root/'dataset.json',report)
print('[green]Balanced benchmark/synthetic native SFT built; all source and RL/evaluation pools unchanged[/green]')
if __name__=='__main__':
build(OmegaConf.to_object(OmegaConf.merge(OmegaConf.structured(Config),OmegaConf.from_cli())))
|