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README.md

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+---
+license: cc-by-4.0
+language:
+- fi
+task_categories:
+- image-to-text
+task_ids:
+- optical-character-recognition
+pretty_name: Theseus Finnish OCR
+dataset_info:
+  features:
+    - name: pdf_file
+      dtype: string
+    - name: page
+      dtype: int32
+    - name: text
+      dtype: string
+    - name: image
+      dtype: image
+  splits:
+    - name: train
+      num_examples: 16618
+---
+
+# Theseus Finnish OCR Dataset
+
+Paragraph-level OCR dataset harvested from [Theseus.fi](https://www.theseus.fi),
+the Finnish repository of university of applied sciences theses.
+
+Each record is one paragraph crop extracted from a thesis PDF, paired with the
+text extracted by `pdfplumber`.
+
+## Image Resolution
+
+Paragraph crops are rendered at **300 DPI** (dots per inch) with 2 px
+padding on each side. At 300 DPI a standard A4 page is
+2481 × 3507 pixels, giving high enough resolution for training
+OCR and document-understanding models.
+
+## Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `pdf_file` | string | Source PDF filename |
+| `page` | int | Page number (1-indexed) |
+| `image` | Image | Paragraph crop at 300 DPI with 2 px padding on each side |
+| `text` | string | Extracted paragraph text from `pdfplumber` |
+
+## Source
+
+Records were harvested via the Theseus OAI-PMH endpoint and 10 PDFs were
+downloaded from the DSpace bitstream API.

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