lm2445/FinTagging1000_table
FinTagging Table Context Extraction Split For HTML table inputs, the target is a JSON list of numeric entity/datatype pairs enriched with deterministic row and column context. Missing row or column context is represented as null. The dataset is derived from FinTagging_800_200_HF and preserves the original train/test assignment by source_sample_idx and context_id. The XBRL concept tag is intentionally omitted from the target. Splits Split Samples Output… See the full description on the dataset page: https://huggingface.co/datasets/lm2445/FinTagging1000_table.
FinTagging Table Context Extraction Split
For HTML table inputs, the target is a JSON list of numeric entity/datatype pairs enriched with deterministic row and column context. Missing row or column context is represented as null.
The dataset is derived from FinTagging_800_200_HF and preserves the original train/test assignment by source_sample_idx and context_id. The XBRL concept tag is intentionally omitted from the target.
Splits
Columns
source_sample_idx: original source row index.context_id: original context identifier.split: original split label.input_type:tableortext.input: raw table HTML for table data, cleaned plain text for text data.output: JSON target string.output_entities: structured version ofoutput.entity_metadata: deterministic parser metadata for auditing only.
