{
  "allowed_datatypes": {
    "integerItemType": "Plain integer count that is not monetary, percent, shares, or per-share.",
    "monetaryItemType": "Monetary amount or financial value.",
    "perShareItemType": "Per-share amount such as earnings per share or dividends per share.",
    "percentItemType": "Percentage, ratio, rate, yield, margin, or tax-rate style value.",
    "sharesItemType": "Number of shares or units of stock/equity."
  },
  "format": "HF-style parquet dataset",
  "output_dir": "data_whole_pipeline/FinTagging_800_200_table_context_HF",
  "source_dir": "data_whole_pipeline/FinTagging_800_200_HF",
  "splits": {
    "test": {
      "duplicate_output_key_groups": 11,
      "extra_duplicate_output_entries": 11,
      "output_entry_count": 2352,
      "rows_with_duplicate_output_keys": 6,
      "sample_count": 110,
      "stats": {
        "dropped_unparsable_table_examples": 2,
        "entries_missing_column_context": 23,
        "entries_missing_row_context": 194,
        "entries_with_both_contexts": 2158,
        "match_status_ambiguous_cell": 482,
        "match_status_exact_cell": 1849,
        "match_status_unmatched": 21,
        "output_entry_count": 2352,
        "retained_examples": 110,
        "skipped_non_table_examples": 88,
        "source_table_examples": 112
      }
    },
    "train": {
      "duplicate_output_key_groups": 81,
      "extra_duplicate_output_entries": 87,
      "output_entry_count": 10831,
      "rows_with_duplicate_output_keys": 34,
      "sample_count": 464,
      "stats": {
        "entries_missing_column_context": 276,
        "entries_missing_row_context": 558,
        "entries_with_both_contexts": 10230,
        "match_status_ambiguous_cell": 2433,
        "match_status_exact_cell": 8147,
        "match_status_reused_cell": 24,
        "match_status_unmatched": 227,
        "output_entry_count": 10831,
        "retained_examples": 464,
        "skipped_non_table_examples": 336,
        "source_table_examples": 464
      }
    }
  },
  "target_format": "JSON array of {\"numeric_entity\", \"datatype\", \"row_context\", \"column_context\"}",
  "validation": {
    "context_id_overlap_count": 0,
    "passed": true,
    "sample_idx_overlap_count": 0
  }
}