runs/recursivechunker_256.json

{
  "metrics": {
    "recall": {
      "1": 0.28398058252427183,
      "3": 0.4240638002773925,
      "5": 0.4934119278779473,
      "10": 0.5856449375866851
    }
  },
  "metadata": {
    "chunker_type": "RecursiveChunker",
    "chunker_config": "RecursiveChunker(tokenizer_or_token_counter=<chonkie.tokenizer.Tokenizer object at 0x1064caea0>, 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=256, min_characters_per_chunk=24, return_type=chunks)",
    "embedding_model": "Model2VecEmbeddings(model=minishlab/potion-retrieval-32M)",
    "embedding_model_name": "<model2vec.model.StaticModel object at 0x10bf4d8b0>",
    "dataset": "gacha",
    "num_books": 100,
    "total_questions": 2884,
    "total_correct": {
      "1": 819,
      "3": 1223,
      "5": 1423,
      "10": 1689
    }
  },
  "total_corpus_size_mb": 65.95209217071533,
  "total_time_to_chunk": 2.5457475900650026,
  "chunk_speed_mb_per_sec": 25.90676798756444,
  "total_chunks_created": 89001,
  "total_evaluation_time": 35.80127787590027,
  "questions_per_second": 80.55578379064991,
  "timestamp": 1750411557.8257332
}