---
dataset_info:
  features:
  - name: line_id
    dtype: string
  - name: line_coordinates
    sequence:
      sequence: float64
  - name: source_image
    dtype: string
  - name: image_size
    dtype: string
  - name: format
    dtype: string
  - name: bdrc_work_id
    dtype: string
  - name: image_url
    dtype: string
  - name: method
    dtype: string
  splits:
  - name: transkribus_method
    num_bytes: 11390458
    num_examples: 33946
  - name: prodigy_method
    num_bytes: 19349490
    num_examples: 63727
  download_size: 3491003
  dataset_size: 30739948
configs:
- config_name: default
  data_files:
  - split: transkribus_method
    path: data/transkribus_method-*
  - split: prodigy_method
    path: data/prodigy_method-*
---

## Tibetan OCR Line Segementation Coordinates Annotation

This dataset contains coordinated annotation data for lines. It includes features related to text lines, image details, and processing methods used for data annotation.

### Features
- **line_id**: Text Line Information
- **line_coordinates**: Coordinates of the text lines
- **source_image**: Image filename or identifier
- **image_size**: Size of the images in pixel
- **format**: Image Format
- **bdrc_work_id**: Identifier for BDRC work
- **image_url**: URL to the image
- **method**: Method used for annotation

### Dataset Splits

- **transkribus_method**:
  - Number of Examples: 33,946
  - Total Size: 11,390,458 bytes

- **prodigy_method**:
  - Number of Examples: 63,727
  - Total Size: 19,349,490 bytes

### Total Dataset Size

- **Download Size**: 3,491,003 bytes
- **Dataset Size**: 30,739,948 bytes

## Use this Dataset

To load the dataset using the Hugging Face `datasets` library:
```python
from datasets import load_dataset

dataset = load_dataset("openpecha/OCR-Tibetan_line_segmentation_coordinate_annotation")
```
---

## Data Splits

### Split: `transkribus_method`

**Total Rows**: 33,946

#### `format`
- **Type**: categorical
- **Data Type**: `string`
- **Unique Values**: 3

| Value    | Count  | Percentage |
|----------|--------|------------|
| pering   | 25,061 | 73.83%     |
| modern   |  4,557 | 13.43%     |
| unknown  |  4,328 | 12.75%     |

#### `method`
- **Type**: categorical
- **Data Type**: `string`
- **Unique Values**: 1

| Value       | Count   | Percentage |
|-------------|---------|------------|
| Transkribus | 33,946  | 100.00%    |

---

### Split: `prodigy_method`

**Total Rows**: 63,727

#### `format`
- **Type**: categorical
- **Data Type**: `string`
- **Unique Values**: 2

| Value   | Count  | Percentage |
|---------|--------|------------|
| modern  | 33,143 | 52.01%     |
| pering  | 30,584 | 47.99%     |

#### `method`
- **Type**: categorical
- **Data Type**: `string`
- **Unique Values**: 1

| Value   | Count   | Percentage |
|---------|---------|------------|
| Prodigy | 63,727  | 100.00%    |

---