cmax / runs /recursivechunker_2048.json
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Implement initial project structure and setup
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{
"metrics": {
"recall": {
"1": 0.23370319001386963,
"3": 0.3699722607489598,
"5": 0.4573509015256588,
"10": 0.584257975034674
}
},
"metadata": {
"chunker_type": "RecursiveChunker",
"chunker_config": "RecursiveChunker(tokenizer_or_token_counter=<chonkie.tokenizer.Tokenizer object at 0x10be36510>, rules=RecursiveRules(levels=[RecursiveLevel(delimiters=['\\n\\n', '\\r\\n', '\\n', '\\r'], whitespace=False, include_delim=prev), RecursiveLevel(delimiters=['. ', '! ', '? '], whitespace=False, include_delim=prev), RecursiveLevel(delimiters=['{', '}', '\"', '[', ']', '<', '>', '(', ')', ':', ';', ',', '\u2014', '|', '~', '-', '...', '`', \"'\"], whitespace=False, include_delim=prev), RecursiveLevel(delimiters=None, whitespace=True, include_delim=prev), RecursiveLevel(delimiters=None, whitespace=False, include_delim=prev)]), chunk_size=2048, min_characters_per_chunk=24, return_type=chunks)",
"embedding_model": "Model2VecEmbeddings(model=minishlab/potion-retrieval-32M)",
"embedding_model_name": "<model2vec.model.StaticModel object at 0x11d35d220>",
"dataset": "gacha",
"num_books": 100,
"total_questions": 2884,
"total_correct": {
"1": 674,
"3": 1067,
"5": 1319,
"10": 1685
}
},
"total_corpus_size_mb": 65.95209217071533,
"total_time_to_chunk": 1.9020262718200682,
"chunk_speed_mb_per_sec": 34.67464837255119,
"total_chunks_created": 8940,
"total_evaluation_time": 25.84335994720459,
"questions_per_second": 111.59539649224114,
"timestamp": 1750411651.5344021
}