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README.md

@@ -1,39 +1,57 @@
 ---
-dataset_info:
-  features:
-  - name: doc_id
-    dtype: string
-  - name: file_name
-    dtype: string
-  - name: url
-    dtype: string
-  - name: num_pages
-    dtype: int64
-  - name: file_size_mb
-    dtype: int64
-  - name: metadata
-    dtype: string
-  - name: created_at
-    dtype: string
-  - name: pdf_bytes
-    dtype: pdf
-  - name: original_md
-    dtype: string
-  - name: hierarchical_md
-    dtype: string
-  - name: sections_toc
-    dtype: string
-  - name: inference_info
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 36862814
-    num_examples: 20
-  download_size: 28920720
-  dataset_size: 36862814
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- document-processing
+- docling
+- hierarchical-parsing
+- pdf-processing
+- generated
 ---
+
+# PDF Document Processing with Docling
+
+This dataset contains structured markdown extraction from PDFs in [baobabtech/test-eval-documents](https://huggingface.co/datasets/baobabtech/test-eval-documents)
+using Docling with hierarchical parsing.
+
+## Processing Details
+
+- **Source Dataset**: [baobabtech/test-eval-documents](https://huggingface.co/datasets/baobabtech/test-eval-documents)
+- **Number of PDFs**: 20
+- **Processing Time**: 8.4 minutes
+- **Processing Date**: 2025-12-02 15:40 UTC
+
+### Configuration
+
+- **PDF Column**: `pdf_bytes`
+- **Dataset Split**: `train`
+
+## Dataset Structure
+
+The dataset contains all original columns plus:
+- `original_md`: Markdown extracted by Docling (before hierarchical restructuring)
+- `hierarchical_md`: Markdown with proper heading hierarchy (after hierarchical processing)
+- `sections_toc`: Table of contents (one section per line, indented by level)
+- `inference_info`: JSON with processing metadata
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("YOUR_DATASET_ID", split="train")
+
+for example in dataset:
+    print(f"Document: {example.get('file_name', 'unknown')}")
+
+    # Original markdown from Docling
+    print("=== Original Markdown ===")
+    print(example['original_md'][:500])
+
+    # Hierarchical markdown with proper heading levels
+    print("\n=== Hierarchical Markdown ===")
+    print(example['hierarchical_md'][:500])
+
+    # Table of contents
+    print("\n=== Table of Contents ===")
+    print(example['sections_toc'])
+    break
+```