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README.md

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+---
+paper: arxiv:2109.03794
+size_categories:
+- n<1K
+task_categories:
+- token-classification
+language:
+- en
+tags:
+- pipeline-numbers
+- ner
+- p-and-id
+---
+
+# Digitize-PID: Pipeline numbers (NER)
+
+**Note**: *I am not the author of this dataset*
+
+Named Entity Recognition dataset for extracting pipeline numbers from full text of P&ID 
+(Piping and Instrumentation Diagram) documents.
+
+## Dataset Details
+
+### Dataset Description
+
+Pipeline numbers are structured identifiers in engineering documents:
+- Example Format: `A-123-BC` (3-5 segments with a separator such as `-`, ` `, or `_`)
+- Use case: Automated extraction from P&ID document text
+- Domain: Process and piping industry
+
+### Data Fields
+
+- `id`: Unique example identifier
+- `tokens`: List of tokenized words/punctuation
+- `labels`: BIO tags for each token
+- `pipeline_numbers`: Ground truth pipeline numbers
+- `full_text`: Original text
+
+### Label Schema
+
+| Label | Meaning |
+|-------|---------|
+| `B-PIPE` | Beginning of pipeline number |
+| `I-PIPE` | Inside pipeline number |
+| `O` | Outside (not pipeline number) |
+
+### Splits
+
+Data was randomly split.
+
+| Split | Examples |
+|-------|----------|
+| train |      400 |
+| validation | 50  |
+| test |       50  |
+
+### Data Creation
+
+- **Source:** Digitize-PID
+- **Annotation:** Automatic BIO tagging with character-level alignment
+
+## Usage
+
+### With Hugging Face Datasets
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("hamzas/digitize-pid-ner")
+
+print(dataset)
+
+# Access example
+example = dataset['train'][0]
+print(example['tokens'])
+print(example['labels'])
+```

dataset_info.json

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+{
+  "name": "digitize-pid-pipeline-numbers",
+  "version": "1.0.0",
+  "description": "Pipeline number extraction from P&ID documents",
+  "splits": {
+    "train": 400,
+    "validation": 50,
+    "test": 50
+  },
+  "features": {
+    "id": "string",
+    "tokens": "list[string]",
+    "labels": "list[string]",
+    "pipeline_numbers": "list[string]",
+    "full_text": "string"
+  },
+  "label_schema": {
+    "B-PIPE": "Beginning of pipeline number",
+    "I-PIPE": "Inside pipeline number",
+    "O": "Outside pipeline number"
+  }
+}