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@@ -14,709 +14,110 @@ tags:
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  - procedural
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  - synthetic
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  configs:
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- - config_name: business_document_extraction
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  data_files:
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  - split: train
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- path: business_document_extraction/train-*
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  - split: validation
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- path: business_document_extraction/validation-*
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  - split: test
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- path: business_document_extraction/test-*
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- - config_name: conditional_list_extraction
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  data_files:
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  - split: train
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- path: conditional_list_extraction/train-*
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  - split: validation
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- path: conditional_list_extraction/validation-*
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  - split: test
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- path: conditional_list_extraction/test-*
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- - config_name: date_range_extraction
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  data_files:
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  - split: train
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- path: date_range_extraction/train-*
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  - split: validation
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- path: date_range_extraction/validation-*
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  - split: test
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- path: date_range_extraction/test-*
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- - config_name: html_extraction
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  data_files:
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  - split: train
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- path: html_extraction/train-*
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  - split: validation
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- path: html_extraction/validation-*
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  - split: test
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- path: html_extraction/test-*
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- - config_name: log_query_extraction
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  data_files:
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  - split: train
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- path: log_query_extraction/train-*
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  - split: validation
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- path: log_query_extraction/validation-*
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  - split: test
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- path: log_query_extraction/test-*
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- - config_name: lookalike_field_extraction
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  data_files:
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  - split: train
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- path: lookalike_field_extraction/train-*
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  - split: validation
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- path: lookalike_field_extraction/validation-*
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  - split: test
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- path: lookalike_field_extraction/test-*
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  - config_name: nested_structure_extraction
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  data_files:
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  - split: train
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- path: nested_structure_extraction/train-*
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  - split: validation
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- path: nested_structure_extraction/validation-*
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  - split: test
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- path: nested_structure_extraction/test-*
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- - config_name: record_field_extraction
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  data_files:
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  - split: train
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- path: record_field_extraction/train-*
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  - split: validation
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- path: record_field_extraction/validation-*
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  - split: test
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- path: record_field_extraction/test-*
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- - config_name: relational_span_extraction
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  data_files:
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  - split: train
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- path: relational_span_extraction/train-*
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  - split: validation
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- path: relational_span_extraction/validation-*
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  - split: test
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- path: relational_span_extraction/test-*
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  - config_name: spec_match_extraction
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  data_files:
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  - split: train
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- path: spec_match_extraction/train-*
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  - split: validation
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- path: spec_match_extraction/validation-*
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  - split: test
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- path: spec_match_extraction/test-*
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- - config_name: state_update_extraction
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  data_files:
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  - split: train
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- path: state_update_extraction/train-*
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  - split: validation
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- path: state_update_extraction/validation-*
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  - split: test
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- path: state_update_extraction/test-*
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  - config_name: structure_lookup_extraction
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  data_files:
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  - split: train
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- path: structure_lookup_extraction/train-*
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  - split: validation
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- path: structure_lookup_extraction/validation-*
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  - split: test
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- path: structure_lookup_extraction/test-*
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- - config_name: typed_mention_extraction
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  data_files:
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  - split: train
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- path: typed_mention_extraction/train-*
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  - split: validation
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- path: typed_mention_extraction/validation-*
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  - split: test
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- path: typed_mention_extraction/test-*
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- - config_name: business_document_extraction
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- dataset_size: 11963879
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  ---
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  # procedural-extraction
@@ -728,7 +129,7 @@ so spans are exact and labels noise-free (each generator samples a latent struct
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  a merged configuration tree or a DOM, and a solver computes the answer; independent readers of the rendered
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  texts recompute every answer in reasoning-core's tests); nulls are earned (the text mentions a negated, proposed, former or
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  other entity's value, not nothing). The tasks are generated by
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- [reasoning-core](https://github.com/sileod/reasoning-core) (commit `3561112`, see
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  [provenance.json](provenance.json)) and are a procedural component of the `extraction` config of
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  [tasksource-jev-typed-decisions](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).
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@@ -745,7 +146,7 @@ other entity's value, not nothing). The tasks are generated by
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  | `date_range_extraction` | Every invoice, shipment, contract or ticket whose date of one role (issued vs due) falls in a range, before/after a date, in a month or on a weekday, or the earliest/latest; dates ISO, worded, day/month or month/day numeric under a stated section convention, year-less under a stated year, or relative to another record |
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  | `spec_match_extraction` | Every laptop, e-bike or monitor meeting conjunctive spec requirements, or the best such one; specs and thresholds in mixed exact units (g/kg, GB/TB, min/h, Wh/kWh, in/cm) and a stated number convention (1.234,5), near-miss products failing one requirement, unstated specs not qualifying |
747
  | `lookalike_field_extraction` | Fields asked by role (issue vs delivery date, subtotal vs tax, sender vs approver, order vs tracking number, billing vs return address, phones, weights, durations) from a form, sections, table, prose, email, log or YAML-like record; an asked role that is not stated is null although same-typed values of other roles are, or shows a placeholder (pending, N/A); a conditional or policy value of the role (a late fee that may apply) is not the answer |
748
- | `structure_lookup_extraction` | A value by its place: a section path (Billing > Contact > Phone) in an outline whose labels recur under other sections, or a cell of one of several same-column tables picked by row and column, a condition on another column or a row position; Markdown, ASCII, CSV, aligned or transposed tables; null when the place exists only elsewhere or the cell is empty |
749
  | `relational_span_extraction` | Every mention of an event's direct or indirect causes or effects in a narrative with temporal-only and ruled-out look-alikes, or of what follows from facts and if-then rules (some conjunctive), what triggers an event and what it triggers |
750
 
751
  Levels 0 to 4 are drawn uniformly; `level` is a column. Mean per-field score by level (0 / 1 / 2 / 3 / 4):
@@ -763,7 +164,7 @@ Levels 0 to 4 are drawn uniformly; `level` is a column. Mean per-field score by
763
  | `date_range_extraction` | 10,000 | 500 | 500 | 0.75 / 0.62 / 0.60 / 0.44 / 0.44 | 0.16 / 0.03 / 0.03 / 0.00 / 0.02 |
764
  | `spec_match_extraction` | 10,000 | 500 | 500 | 0.81 / 0.53 / 0.27 / 0.25 / 0.17 | 0.11 / 0.08 / 0.04 / 0.03 / 0.04 |
765
  | `lookalike_field_extraction` | 10,000 | 500 | 500 | 0.93 / 0.96 / 0.89 / 0.85 / 0.80 | 0.37 / 0.35 / 0.23 / 0.22 / 0.09 |
766
- | `structure_lookup_extraction` | 10,000 | 500 | 500 | 1.00 / 0.99 / 0.97 / 0.97 / 0.91 | 0.27 / 0.12 / 0.07 / 0.07 / 0.09 |
767
  | `relational_span_extraction` | 10,000 | 500 | 500 | 0.83 / 0.85 / 0.85 / 0.84 / 0.73 | 0.16 / 0.11 / 0.09 / 0.07 / 0.07 |
768
 
769
  ## Schema
 
14
  - procedural
15
  - synthetic
16
  configs:
17
+ - config_name: record_field_extraction
18
  data_files:
19
  - split: train
20
+ path: record_field_extraction/train-*.parquet
21
  - split: validation
22
+ path: record_field_extraction/validation-*.parquet
23
  - split: test
24
+ path: record_field_extraction/test-*.parquet
25
+ - config_name: state_update_extraction
26
  data_files:
27
  - split: train
28
+ path: state_update_extraction/train-*.parquet
29
  - split: validation
30
+ path: state_update_extraction/validation-*.parquet
31
  - split: test
32
+ path: state_update_extraction/test-*.parquet
33
+ - config_name: conditional_list_extraction
34
  data_files:
35
  - split: train
36
+ path: conditional_list_extraction/train-*.parquet
37
  - split: validation
38
+ path: conditional_list_extraction/validation-*.parquet
39
  - split: test
40
+ path: conditional_list_extraction/test-*.parquet
41
+ - config_name: log_query_extraction
42
  data_files:
43
  - split: train
44
+ path: log_query_extraction/train-*.parquet
45
  - split: validation
46
+ path: log_query_extraction/validation-*.parquet
47
  - split: test
48
+ path: log_query_extraction/test-*.parquet
49
+ - config_name: typed_mention_extraction
50
  data_files:
51
  - split: train
52
+ path: typed_mention_extraction/train-*.parquet
53
  - split: validation
54
+ path: typed_mention_extraction/validation-*.parquet
55
  - split: test
56
+ path: typed_mention_extraction/test-*.parquet
57
+ - config_name: business_document_extraction
58
  data_files:
59
  - split: train
60
+ path: business_document_extraction/train-*.parquet
61
  - split: validation
62
+ path: business_document_extraction/validation-*.parquet
63
  - split: test
64
+ path: business_document_extraction/test-*.parquet
65
  - config_name: nested_structure_extraction
66
  data_files:
67
  - split: train
68
+ path: nested_structure_extraction/train-*.parquet
69
  - split: validation
70
+ path: nested_structure_extraction/validation-*.parquet
71
  - split: test
72
+ path: nested_structure_extraction/test-*.parquet
73
+ - config_name: html_extraction
74
  data_files:
75
  - split: train
76
+ path: html_extraction/train-*.parquet
77
  - split: validation
78
+ path: html_extraction/validation-*.parquet
79
  - split: test
80
+ path: html_extraction/test-*.parquet
81
+ - config_name: date_range_extraction
82
  data_files:
83
  - split: train
84
+ path: date_range_extraction/train-*.parquet
85
  - split: validation
86
+ path: date_range_extraction/validation-*.parquet
87
  - split: test
88
+ path: date_range_extraction/test-*.parquet
89
  - config_name: spec_match_extraction
90
  data_files:
91
  - split: train
92
+ path: spec_match_extraction/train-*.parquet
93
  - split: validation
94
+ path: spec_match_extraction/validation-*.parquet
95
  - split: test
96
+ path: spec_match_extraction/test-*.parquet
97
+ - config_name: lookalike_field_extraction
98
  data_files:
99
  - split: train
100
+ path: lookalike_field_extraction/train-*.parquet
101
  - split: validation
102
+ path: lookalike_field_extraction/validation-*.parquet
103
  - split: test
104
+ path: lookalike_field_extraction/test-*.parquet
105
  - config_name: structure_lookup_extraction
106
  data_files:
107
  - split: train
108
+ path: structure_lookup_extraction/train-*.parquet
109
  - split: validation
110
+ path: structure_lookup_extraction/validation-*.parquet
111
  - split: test
112
+ path: structure_lookup_extraction/test-*.parquet
113
+ - config_name: relational_span_extraction
114
  data_files:
115
  - split: train
116
+ path: relational_span_extraction/train-*.parquet
117
  - split: validation
118
+ path: relational_span_extraction/validation-*.parquet
119
  - split: test
120
+ path: relational_span_extraction/test-*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
121
  ---
122
 
123
  # procedural-extraction
 
129
  a merged configuration tree or a DOM, and a solver computes the answer; independent readers of the rendered
130
  texts recompute every answer in reasoning-core's tests); nulls are earned (the text mentions a negated, proposed, former or
131
  other entity's value, not nothing). The tasks are generated by
132
+ [reasoning-core](https://github.com/sileod/reasoning-core) (commit `77895e5`, see
133
  [provenance.json](provenance.json)) and are a procedural component of the `extraction` config of
134
  [tasksource-jev-typed-decisions](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).
135
 
 
146
  | `date_range_extraction` | Every invoice, shipment, contract or ticket whose date of one role (issued vs due) falls in a range, before/after a date, in a month or on a weekday, or the earliest/latest; dates ISO, worded, day/month or month/day numeric under a stated section convention, year-less under a stated year, or relative to another record |
147
  | `spec_match_extraction` | Every laptop, e-bike or monitor meeting conjunctive spec requirements, or the best such one; specs and thresholds in mixed exact units (g/kg, GB/TB, min/h, Wh/kWh, in/cm) and a stated number convention (1.234,5), near-miss products failing one requirement, unstated specs not qualifying |
148
  | `lookalike_field_extraction` | Fields asked by role (issue vs delivery date, subtotal vs tax, sender vs approver, order vs tracking number, billing vs return address, phones, weights, durations) from a form, sections, table, prose, email, log or YAML-like record; an asked role that is not stated is null although same-typed values of other roles are, or shows a placeholder (pending, N/A); a conditional or policy value of the role (a late fee that may apply) is not the answer |
149
+ | `structure_lookup_extraction` | A value by its place: a section path (Billing > Contact > Phone) in an outline whose labels recur under other sections, or a cell of one of several same-column tables picked by row and column, a condition on another column or a row position, or a figure of a report broken down by segments, regions, departments or campuses; Markdown, ASCII, CSV, aligned or transposed tables; null when the place exists only elsewhere, the cell is empty, or a metric is reported only overall or not for that group |
150
  | `relational_span_extraction` | Every mention of an event's direct or indirect causes or effects in a narrative with temporal-only and ruled-out look-alikes, or of what follows from facts and if-then rules (some conjunctive), what triggers an event and what it triggers |
151
 
152
  Levels 0 to 4 are drawn uniformly; `level` is a column. Mean per-field score by level (0 / 1 / 2 / 3 / 4):
 
164
  | `date_range_extraction` | 10,000 | 500 | 500 | 0.75 / 0.62 / 0.60 / 0.44 / 0.44 | 0.16 / 0.03 / 0.03 / 0.00 / 0.02 |
165
  | `spec_match_extraction` | 10,000 | 500 | 500 | 0.81 / 0.53 / 0.27 / 0.25 / 0.17 | 0.11 / 0.08 / 0.04 / 0.03 / 0.04 |
166
  | `lookalike_field_extraction` | 10,000 | 500 | 500 | 0.93 / 0.96 / 0.89 / 0.85 / 0.80 | 0.37 / 0.35 / 0.23 / 0.22 / 0.09 |
167
+ | `structure_lookup_extraction` | 10,000 | 500 | 500 | 1.00 / 0.98 / 0.96 / 0.97 / 0.96 | 0.20 / 0.18 / 0.13 / 0.15 / 0.19 |
168
  | `relational_span_extraction` | 10,000 | 500 | 500 | 0.83 / 0.85 / 0.85 / 0.84 / 0.73 | 0.16 / 0.11 / 0.09 / 0.07 / 0.07 |
169
 
170
  ## Schema