(chunk_file)
| 13 | |
| 14 | |
| 15 | def get_chunk(chunk_file): |
| 16 | doc_name=os.path.basename(chunk_file).rsplit(".",1)[0] |
| 17 | with open(chunk_file, "r") as f: |
| 18 | corpus=json.load(f) |
| 19 | chunks = {item["hash_code"]: item["text"] for item in corpus} |
| 20 | return chunks |
| 21 | |
| 22 | async def triple_extraction(chunks,use_llm_func,output_dir): |
| 23 |