---
license: mit
task_categories:
- text-generation
- token-classification
language:
- en
tags:
- finance
- xbrl
- numeric-tagging
- fintagging
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train.parquet
  - split: test
    path: data/test.parquet
---

# 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 entries | Duplicate output key groups |
|---|---:|---:|---:|
| train | 464 | 10,831 | 81 |
| test | 110 | 2,352 | 11 |

## Columns

- `source_sample_idx`: original source row index.
- `context_id`: original context identifier.
- `split`: original split label.
- `input_type`: `table` or `text`.
- `input`: raw table HTML for table data, cleaned plain text for text data.
- `output`: JSON target string.
- `output_entities`: structured version of `output`.
- `entity_metadata`: deterministic parser metadata for auditing only.

## Validation

| Check | Value |
|---|---:|
| source sample index overlap | 0 |
| context ID overlap | 0 |
| passed | True |