meta.json

{
  "dataset": "tomaarsen/miriad-benchmark-200k",
  "model": "multi-vector-encoder/mLateOn-medical",
  "n_shards": 2,
  "n_docs": 200,
  "n_gold_docs": 20,
  "n_queries": 20,
  "query_tokens_total": 468,
  "doc_tokens_total": 176014,
  "doc_tokens_mean": 880.07,
  "dim": 128,
  "stored_dtype": "float16",
  "stored_vector_bytes": 45059584,
  "float32_vector_bytes": 90119168,
  "raw_text_bytes": 918762,
  "docs_format": "docs.bin = raw vectors in stored_dtype, load with np.fromfile(..., dtype=stored_dtype).reshape(-1, dim); docs_offs.npy = ragged offsets",
  "gpu": "A100-40GB",
  "shard_docs_per_sec": [
    53.2,
    40.1
  ],
  "fan_out_wall_sec": 62.60782217979431,
  "gpu_sec_billed": 64.9363522529602,
  "total_sec": 65.75728631019592
}