Add README.md
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README.md
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@@ -14,439 +14,70 @@ tags:
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- procedural
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- synthetic
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configs:
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data_files:
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- split: train
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path:
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- split: validation
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- split: test
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data_files:
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- split: validation
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- split: test
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path:
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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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data_files:
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- split: train
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path:
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data_files:
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path:
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path:
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data_files:
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- split: train
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- split: validation
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path:
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- split: test
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path:
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dataset_info:
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- config_name: business_document_extraction
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features:
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- name: id
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dtype: string
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dtype: string
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dtype: int32
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num_examples: 10000
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num_examples: 500
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download_size: 8404950
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dataset_size: 18343883
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- config_name: conditional_list_extraction
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features:
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download_size: 7774812
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dataset_size: 14858902
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- config_name: html_extraction
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features:
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download_size: 15228195
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dataset_size: 28593856
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dataset_size: 21741353
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dataset_size: 27004637
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---
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# procedural-extraction
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@@ -454,9 +85,11 @@ dataset_info:
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Procedurally generated extraction requests: one text and several typed fields to fill from it in one pass, as
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extraction models (e.g. Cloudflare's Clairic) are asked. Each field is `text` (one span) or `list` (every
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matching span) and is answered with character spans of the text or null. Answers are computed by construction,
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so spans are exact and labels noise-free
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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 `
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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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@@ -466,15 +99,23 @@ other entity's value, not nothing). The tasks are generated by
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| `state_update_extraction` | The value in force (or before the last change) of plan slots, from a timestamped chat of statements, proposals approved/rejected/pending, corrections and undos, out of order from level 2 |
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| `conditional_list_extraction` | Every order id or product meeting conjunctive, negated or numeric conditions after later updates, or the heaviest such order; prose, bullets or a table |
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| `log_query_extraction` | Every request id or user of log lines matching filters on level, exact service (auth vs auth-proxy), status, latency and user, or the latest/slowest match; plain, logfmt or JSON lines |
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Levels 0 to 4 are drawn uniformly; `level` is a column. Mean per-field score by level (0 / 1 / 2 / 3 / 4):
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| config | train | validation | test | DeepSeek-v4-flash | GLiNER-large |
|
| 473 |
|---|---|---|---|---|---|
|
| 474 |
-
| `record_field_extraction` | 10,000 | 500 | 500 | 1.00 / 0.
|
| 475 |
| `state_update_extraction` | 10,000 | 500 | 500 | 0.84 / 0.76 / 0.77 / 0.68 / 0.51 | 0.58 / 0.46 / 0.37 / 0.36 / 0.29 |
|
| 476 |
| `conditional_list_extraction` | 10,000 | 500 | 500 | 0.88 / 0.79 / 0.70 / 0.64 / 0.52 | 0.29 / 0.17 / 0.12 / 0.05 / 0.10 |
|
| 477 |
| `log_query_extraction` | 10,000 | 500 | 500 | 0.86 / 0.76 / 0.68 / 0.63 / 0.59 | 0.31 / 0.16 / 0.09 / 0.24 / 0.15 |
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| 478 |
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| 479 |
## Schema
|
| 480 |
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| 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
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| 21 |
- split: validation
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| 22 |
+
path: record_field_extraction/validation-*.parquet
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| 23 |
- split: test
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| 24 |
+
path: record_field_extraction/test-*.parquet
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| 25 |
+
- config_name: state_update_extraction
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| 26 |
data_files:
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| 27 |
- split: train
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| 28 |
+
path: state_update_extraction/train-*.parquet
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| 29 |
- split: validation
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| 30 |
+
path: state_update_extraction/validation-*.parquet
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| 31 |
- split: test
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| 32 |
+
path: state_update_extraction/test-*.parquet
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| 33 |
+
- config_name: conditional_list_extraction
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| 34 |
data_files:
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| 35 |
- split: train
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| 36 |
+
path: conditional_list_extraction/train-*.parquet
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| 37 |
- split: validation
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| 38 |
+
path: conditional_list_extraction/validation-*.parquet
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| 39 |
- split: test
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| 40 |
+
path: conditional_list_extraction/test-*.parquet
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| 41 |
- config_name: log_query_extraction
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| 42 |
data_files:
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| 43 |
- split: train
|
| 44 |
+
path: log_query_extraction/train-*.parquet
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| 45 |
- split: validation
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| 46 |
+
path: log_query_extraction/validation-*.parquet
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| 47 |
- split: test
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| 48 |
+
path: log_query_extraction/test-*.parquet
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| 49 |
+
- config_name: typed_mention_extraction
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| 50 |
data_files:
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| 51 |
- split: train
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| 52 |
+
path: typed_mention_extraction/train-*.parquet
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| 53 |
- split: validation
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| 54 |
+
path: typed_mention_extraction/validation-*.parquet
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| 55 |
- split: test
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| 56 |
+
path: typed_mention_extraction/test-*.parquet
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| 57 |
+
- config_name: business_document_extraction
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| 58 |
data_files:
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| 59 |
- split: train
|
| 60 |
+
path: business_document_extraction/train-*.parquet
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| 61 |
- split: validation
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| 62 |
+
path: business_document_extraction/validation-*.parquet
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| 63 |
- split: test
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| 64 |
+
path: business_document_extraction/test-*.parquet
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| 65 |
+
- config_name: nested_structure_extraction
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| 66 |
data_files:
|
| 67 |
- split: train
|
| 68 |
+
path: nested_structure_extraction/train-*.parquet
|
| 69 |
- split: validation
|
| 70 |
+
path: nested_structure_extraction/validation-*.parquet
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| 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
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| 79 |
- split: test
|
| 80 |
+
path: html_extraction/test-*.parquet
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| 81 |
---
|
| 82 |
|
| 83 |
# procedural-extraction
|
|
|
|
| 85 |
Procedurally generated extraction requests: one text and several typed fields to fill from it in one pass, as
|
| 86 |
extraction models (e.g. Cloudflare's Clairic) are asked. Each field is `text` (one span) or `list` (every
|
| 87 |
matching span) and is answered with character spans of the text or null. Answers are computed by construction,
|
| 88 |
+
so spans are exact and labels noise-free (each generator samples a latent structure, such as a fact store,
|
| 89 |
+
a merged configuration tree or a DOM, and a solver computes the answer; independent readers of the rendered
|
| 90 |
+
texts recompute every answer in reasoning-core's tests); nulls are earned (the text mentions a negated, proposed, former or
|
| 91 |
other entity's value, not nothing). The tasks are generated by
|
| 92 |
+
[reasoning-core](https://github.com/sileod/reasoning-core) (commit `2350820`, see
|
| 93 |
[provenance.json](provenance.json)) and are a procedural component of the `extraction` config of
|
| 94 |
[tasksource-jev-typed-decisions](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).
|
| 95 |
|
|
|
|
| 99 |
| `state_update_extraction` | The value in force (or before the last change) of plan slots, from a timestamped chat of statements, proposals approved/rejected/pending, corrections and undos, out of order from level 2 |
|
| 100 |
| `conditional_list_extraction` | Every order id or product meeting conjunctive, negated or numeric conditions after later updates, or the heaviest such order; prose, bullets or a table |
|
| 101 |
| `log_query_extraction` | Every request id or user of log lines matching filters on level, exact service (auth vs auth-proxy), status, latency and user, or the latest/slowest match; plain, logfmt or JSON lines |
|
| 102 |
+
| `typed_mention_extraction` | Named-entity style: every mention of each requested type, where one name (Jordan) is a person, place, organization or product by context; companies by a defined current role among former and unrelated relations; codes by a stated format among near-miss strings |
|
| 103 |
+
| `business_document_extraction` | The value in force on a date in an invoice, purchase order, contract or insurance policy: numbered amendments override printed values and each other, dated windows, schedule references that chain, near-miss keys (subtotal vs total) |
|
| 104 |
+
| `nested_structure_extraction` | Path, any-depth and predicate-filter queries on a JSON, YAML or XML configuration whose override layers deep-merge or replace whole blocks |
|
| 105 |
+
| `html_extraction` | Fields of the main item in raw HTML: scope (nested and related item cards), visibility (hidden, template, struck prices), dt/dd, label-for, attributes and spec tables with rowspan/colspan |
|
| 106 |
|
| 107 |
Levels 0 to 4 are drawn uniformly; `level` is a column. Mean per-field score by level (0 / 1 / 2 / 3 / 4):
|
| 108 |
|
| 109 |
| config | train | validation | test | DeepSeek-v4-flash | GLiNER-large |
|
| 110 |
|---|---|---|---|---|---|
|
| 111 |
+
| `record_field_extraction` | 10,000 | 500 | 500 | 1.00 / 0.96 / 0.81 / 0.72 / 0.62 | 0.80 / 0.59 / 0.36 / 0.45 / 0.38 |
|
| 112 |
| `state_update_extraction` | 10,000 | 500 | 500 | 0.84 / 0.76 / 0.77 / 0.68 / 0.51 | 0.58 / 0.46 / 0.37 / 0.36 / 0.29 |
|
| 113 |
| `conditional_list_extraction` | 10,000 | 500 | 500 | 0.88 / 0.79 / 0.70 / 0.64 / 0.52 | 0.29 / 0.17 / 0.12 / 0.05 / 0.10 |
|
| 114 |
| `log_query_extraction` | 10,000 | 500 | 500 | 0.86 / 0.76 / 0.68 / 0.63 / 0.59 | 0.31 / 0.16 / 0.09 / 0.24 / 0.15 |
|
| 115 |
+
| `typed_mention_extraction` | 10,000 | 500 | 500 | 0.85 / 0.80 / 0.79 / 0.69 / 0.66 | 0.40 / 0.42 / 0.49 / 0.34 / 0.39 |
|
| 116 |
+
| `business_document_extraction` | 10,000 | 500 | 500 | 0.90 / 0.91 / 0.90 / 0.84 / 0.80 | 0.82 / 0.53 / 0.56 / 0.44 / 0.43 |
|
| 117 |
+
| `nested_structure_extraction` | 10,000 | 500 | 500 | 0.93 / 0.88 / 0.94 / 0.86 / 0.86 | 0.18 / 0.20 / 0.20 / 0.20 / 0.18 |
|
| 118 |
+
| `html_extraction` | 10,000 | 500 | 500 | 0.98 / 0.96 / 0.94 / 0.98 / 0.90 | 0.35 / 0.31 / 0.30 / 0.27 / 0.39 |
|
| 119 |
|
| 120 |
## Schema
|
| 121 |
|