source_sample_idx int64 1 6.55k | context_id int64 1 6.55k | split stringclasses 1
value | input_type stringclasses 1
value | input stringlengths 249 14.8k | output stringlengths 104 32.6k | output_entities listlengths 1 157 | entity_metadata listlengths 1 157 |
|---|---|---|---|---|---|---|---|
1 | 1 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Provision for Income Taxes Provision for Income Taxes</td><td>For the years ended December 31</td></tr><tr><td></td><td>2024</td><td>2023</td><td>2022</td></tr><tr><td>Current</td><td></td... | [{"numeric_entity": "62", "datatype": "monetaryItemType", "row_context": "Current | U.S. Federal", "column_context": "Provision for Income Taxes | 2024"}, {"numeric_entity": "171", "datatype": "monetaryItemType", "row_context": "Current | U.S. Federal", "column_context": "For the years ended December 31 | 2023"}, {"num... | [
{
"column_context": "Provision for Income Taxes | 2024",
"datatype": "monetaryItemType",
"numeric_entity": "62",
"row_context": "Current | U.S. Federal"
},
{
"column_context": "For the years ended December 31 | 2023",
"datatype": "monetaryItemType",
"numeric_entity": "171",
"row_... | [
{
"candidate_cell_count": 1,
"cell_text": "62",
"column_index": 2,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 4,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "171",
"column_index": 5,
"entity_index": 1,
"match_status": "exact_ce... |
7 | 7 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Years Ended December 31,</td></tr><tr><td></td><td></td><td>2024</td><td></td><td>2023</t... | [{"numeric_entity": "1.7", "datatype": "monetaryItemType", "row_context": "Years Ended December 31, | EXPENSES | Other Operation", "column_context": "Years Ended December 31, | 2024"}, {"numeric_entity": "0.2", "datatype": "monetaryItemType", "row_context": "Years Ended December 31, | EXPENSES | Other Operation", "colu... | [
{
"column_context": "Years Ended December 31, | 2024",
"datatype": "monetaryItemType",
"numeric_entity": "1.7",
"row_context": "Years Ended December 31, | EXPENSES | Other Operation"
},
{
"column_context": "Years Ended December 31, | 2023",
"datatype": "monetaryItemType",
"numeric_en... | [
{
"candidate_cell_count": 3,
"cell_text": "1.7",
"column_index": 3,
"entity_index": 0,
"match_status": "ambiguous_cell",
"row_index": 4,
"table_index": 0
},
{
"candidate_cell_count": 3,
"cell_text": "0.2",
"column_index": 7,
"entity_index": 1,
"match_status": "amb... |
19 | 19 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td... | [{"numeric_entity": "6019", "datatype": "monetaryItemType", "row_context": "Financial assets | Amortized cost", "column_context": "December 31, 2023 | GAAP Measurement Category (1) | Level 1"}, {"numeric_entity": "—", "datatype": "monetaryItemType", "row_context": "Financial assets | Amortized cost", "column_context": ... | [
{
"column_context": "December 31, 2023 | GAAP Measurement Category (1) | Level 1",
"datatype": "monetaryItemType",
"numeric_entity": "6019",
"row_context": "Financial assets | Amortized cost"
},
{
"column_context": "December 31, 2023 | Fair Value | Level 3",
"datatype": "monetaryItemType... | [
{
"candidate_cell_count": 3,
"cell_text": "$ 6,019",
"column_index": 3,
"entity_index": 0,
"match_status": "ambiguous_cell",
"row_index": 5,
"table_index": 0
},
{
"candidate_cell_count": 33,
"cell_text": "$ —",
"column_index": 9,
"entity_index": 1,
"match_status":... |
24 | 24 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>(in millions)</td><td>Amount</td></tr><tr><td>Balance at December 31, 2022</td><td>$</td><td>462</td><td></td></tr><tr><td>Additions</td><td>—</td><td></td></tr><tr><td>Balance at December 31, 2023</td><td>$</td><td>462</td><td></td></tr><tr>... | [{"numeric_entity": "462", "datatype": "monetaryItemType", "row_context": "Balance at December 31, 2022", "column_context": null}, {"numeric_entity": "—", "datatype": "monetaryItemType", "row_context": "Additions", "column_context": "Balance at December 31, 2022"}, {"numeric_entity": "1", "datatype": "monetaryItemType"... | [
{
"column_context": null,
"datatype": "monetaryItemType",
"numeric_entity": "462",
"row_context": "Balance at December 31, 2022"
},
{
"column_context": "Balance at December 31, 2022",
"datatype": "monetaryItemType",
"numeric_entity": "—",
"row_context": "Additions"
},
{
"... | [
{
"candidate_cell_count": 2,
"cell_text": "462",
"column_index": 2,
"entity_index": 0,
"match_status": "ambiguous_cell",
"row_index": 2,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "—",
"column_index": 1,
"entity_index": 1,
"match_status": "exact... |
27 | 27 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>2024</td><td></td><td>2023</td><td></td><td>2022</td></tr><tr><td>Reconciliation of real estate, at cost:</td><td></td><td></... | [{"numeric_entity": "3774239", "datatype": "monetaryItemType", "row_context": "Reconciliation of real estate, at cost: | Balance at the beginning of year", "column_context": "2024"}, {"numeric_entity": "3691066", "datatype": "monetaryItemType", "row_context": "Reconciliation of real estate, at cost: | Balance at the be... | [
{
"column_context": "2024",
"datatype": "monetaryItemType",
"numeric_entity": "3774239",
"row_context": "Reconciliation of real estate, at cost: | Balance at the beginning of year"
},
{
"column_context": "2023",
"datatype": "monetaryItemType",
"numeric_entity": "3691066",
"row_co... | [
{
"candidate_cell_count": 2,
"cell_text": "3,774,239",
"column_index": 2,
"entity_index": 0,
"match_status": "ambiguous_cell",
"row_index": 3,
"table_index": 0
},
{
"candidate_cell_count": 2,
"cell_text": "3,691,066",
"column_index": 6,
"entity_index": 1,
"match_s... |
29 | 29 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>2024</td><td></td><td>2023</td><td></td><td>2022</td></tr><tr><td>PPL</td><td>3.20</td><td>%</td><td></td><td>3.26</td><td>%<... | [{"numeric_entity": "3.20", "datatype": "percentItemType", "row_context": "PPL", "column_context": "2024"}, {"numeric_entity": "3.26", "datatype": "percentItemType", "row_context": "PPL", "column_context": "2023"}, {"numeric_entity": "3.21", "datatype": "percentItemType", "row_context": "PPL", "column_context": "2022"}... | [
{
"column_context": "2024",
"datatype": "percentItemType",
"numeric_entity": "3.20",
"row_context": "PPL"
},
{
"column_context": "2023",
"datatype": "percentItemType",
"numeric_entity": "3.26",
"row_context": "PPL"
},
{
"column_context": "2022",
"datatype": "percentIt... | [
{
"candidate_cell_count": 1,
"cell_text": "3.20",
"column_index": 1,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 2,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "3.26",
"column_index": 4,
"entity_index": 1,
"match_status": "exact... |
31 | 31 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Years Ended December 31,</td></tr><tr><td></td><td></td><td>2024</td><td></td><td>2023</t... | [{"numeric_entity": "249.3", "datatype": "monetaryItemType", "row_context": "Years Ended December 31, | OPERATING ACTIVITIES | Net Income", "column_context": "Years Ended December 31, | 2024"}, {"numeric_entity": "208.8", "datatype": "monetaryItemType", "row_context": "Years Ended December 31, | OPERATING ACTIVITIES | ... | [
{
"column_context": "Years Ended December 31, | 2024",
"datatype": "monetaryItemType",
"numeric_entity": "249.3",
"row_context": "Years Ended December 31, | OPERATING ACTIVITIES | Net Income"
},
{
"column_context": "Years Ended December 31, | 2023",
"datatype": "monetaryItemType",
"n... | [
{
"candidate_cell_count": 1,
"cell_text": "249.3",
"column_index": 3,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 4,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "208.8",
"column_index": 7,
"entity_index": 1,
"match_status": "exa... |
58 | 58 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>December 31,</td></tr><tr><td></td><td></td><td>2024</td><td></td><td>2023</td></tr><tr><td>CURRENT ASSETS</td><td></td><td></td><td></td><td><... | [{"numeric_entity": "30.4", "datatype": "monetaryItemType", "row_context": "December 31, | CURRENT ASSETS | Advances to Affiliates", "column_context": "December 31, | 2024"}, {"numeric_entity": "67.1", "datatype": "monetaryItemType", "row_context": "December 31, | CURRENT ASSETS | Advances to Affiliates", "column_conte... | [
{
"column_context": "December 31, | 2024",
"datatype": "monetaryItemType",
"numeric_entity": "30.4",
"row_context": "December 31, | CURRENT ASSETS | Advances to Affiliates"
},
{
"column_context": "December 31, | 2023",
"datatype": "monetaryItemType",
"numeric_entity": "67.1",
"ro... | [
{
"candidate_cell_count": 1,
"cell_text": "30.4",
"column_index": 3,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 4,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "67.1",
"column_index": 7,
"entity_index": 1,
"match_status": "exact... |
63 | 63 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>December 31,</td></tr><tr><td>(in millions)</td><td>2024</td><td></td><td>2023</td></tr><tr><td>Deferred tax assets:</td><td></td><td></td><td></td></tr><tr><td>Net operating loss... | [{"numeric_entity": "357", "datatype": "monetaryItemType", "row_context": "December 31, | Deferred tax assets: | Net operating loss and capital loss carryforwards", "column_context": "December 31, | 2024"}, {"numeric_entity": "252", "datatype": "monetaryItemType", "row_context": "December 31, | Deferred tax assets: | N... | [
{
"column_context": "December 31, | 2024",
"datatype": "monetaryItemType",
"numeric_entity": "357",
"row_context": "December 31, | Deferred tax assets: | Net operating loss and capital loss carryforwards"
},
{
"column_context": "December 31, | 2023",
"datatype": "monetaryItemType",
"... | [
{
"candidate_cell_count": 1,
"cell_text": "357",
"column_index": 2,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 4,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "252",
"column_index": 6,
"entity_index": 1,
"match_status": "exact_c... |
97 | 97 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>(in millions)</td><td></td><td>Investments in Unconsolidated VIEs</td><td></td><td>Maximum Exposure to Loss</td></tr><tr><td>NQ Fund V</td><td></td><td>$</td><td... | [{"numeric_entity": "36", "datatype": "monetaryItemType", "row_context": "NQ Fund V", "column_context": "Investments in Unconsolidated VIEs"}, {"numeric_entity": "43", "datatype": "monetaryItemType", "row_context": "NQ Fund V", "column_context": "Maximum Exposure to Loss"}, {"numeric_entity": "11", "datatype": "monetar... | [
{
"column_context": "Investments in Unconsolidated VIEs",
"datatype": "monetaryItemType",
"numeric_entity": "36",
"row_context": "NQ Fund V"
},
{
"column_context": "Maximum Exposure to Loss",
"datatype": "monetaryItemType",
"numeric_entity": "43",
"row_context": "NQ Fund V"
},
... | [
{
"candidate_cell_count": 1,
"cell_text": "36",
"column_index": 3,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 2,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "43",
"column_index": 7,
"entity_index": 1,
"match_status": "exact_cel... |
124 | 124 | train | table | <table><tr><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>Operating Leases</td></tr><tr><td>2025</td><td>$</td><td>13,883</td><td></td></tr><tr><td>2026</td><td>15,357</td><td></td></tr><tr><td>2027</td><td>15,569</td><td></td></tr><tr><td>2028</td><td>15,737</td><td></td></tr><tr><td>2029<... | [{"numeric_entity": "13883", "datatype": "monetaryItemType", "row_context": "Operating Leases", "column_context": null}, {"numeric_entity": "15357", "datatype": "monetaryItemType", "row_context": "Operating Leases", "column_context": "2025"}, {"numeric_entity": "15569", "datatype": "monetaryItemType", "row_context": "O... | [
{
"column_context": null,
"datatype": "monetaryItemType",
"numeric_entity": "13883",
"row_context": "Operating Leases"
},
{
"column_context": "2025",
"datatype": "monetaryItemType",
"numeric_entity": "15357",
"row_context": "Operating Leases"
},
{
"column_context": "2025 ... | [
{
"candidate_cell_count": 1,
"cell_text": "13,883",
"column_index": 2,
"entity_index": 0,
"match_status": "exact_cell",
"row_index": 2,
"table_index": 0
},
{
"candidate_cell_count": 1,
"cell_text": "15,357",
"column_index": 1,
"entity_index": 1,
"match_status": "e... |
End of preview. Expand in Data Studio
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: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.
Validation
| Check | Value |
|---|---|
| source sample index overlap | 0 |
| context ID overlap | 0 |
| passed | True |
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