build datause-encoder training data (gate + domain)

.gitattributes

@@ -58,3 +58,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+encoder_holdout.jsonl filter=lfs diff=lfs merge=lfs -text
+encoder_train.jsonl filter=lfs diff=lfs merge=lfs -text
+encoder_val.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,33 @@
+---
+task_categories:
+  - text-classification
+tags:
+  - data-use
+  - gate
+  - domain
+  - multi-label
+license: cc-by-4.0
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: encoder_train.jsonl
+      - split: val
+        path: encoder_val.jsonl
+      - split: holdout
+        path: encoder_holdout.jsonl
+---
+# datause-encoder-data
+
+Training data for the data-use encoder: a page-level `has_data` gate plus a
+document-level `teratopic` domain classifier, in one joint dataset.
+
+Columns (same schema on every row):
+- `task` — `gate` (page-level binary) or `domain` (document-level multi-label)
+- `doc_id` — source document id
+- `text` — page text (gate) or title+abstract (domain)
+- `has_data` — 0/1 for gate rows (0 placeholder on domain rows)
+- `labels` — `teratopic` label list for domain rows (empty on gate rows)
+
+Splits are document-id disjoint across both tasks. The 30 teratopic labels
+(in column order) are in `encoder_labels.json`.

encoder_holdout.jsonl

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+oid sha256:5ade4741848885d37820efcdc3e2c0f5e7991ea91c920ef72f0639ef0f0a3d08
+size 57092370

encoder_labels.json

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+[
+ "Agriculture",
+ "Communities and Human Settlements",
+ "Conflict and Development",
+ "Culture and Development",
+ "Education",
+ "Energy",
+ "Environment",
+ "Finance and Financial Sector Development",
+ "Gender",
+ "Governance",
+ "Health",
+ "Industry",
+ "Informatics",
+ "Information and Communication Technologies",
+ "Infrastructure Economics and Finance",
+ "International Economics and Trade",
+ "Law and Development",
+ "Macroeconomics and Economic Growth",
+ "Nutrition and Population",
+ "Poverty Reduction",
+ "Private Sector Development",
+ "Public Sector Development",
+ "Rural Development",
+ "Science and Technology Development",
+ "Social Development",
+ "Social Protections and Labor",
+ "Transport",
+ "Urban Development",
+ "Water Resources",
+ "Water Supply and Sanitation"
+]

encoder_train.jsonl

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+size 268864072

encoder_val.jsonl

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+size 56446863