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README.md

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+---
+license: mit
+language:
+- fr
+task_categories:
+- image-to-text
+pretty_name: PELLET Casimir Marius
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 842
+    data_files: "parquet/train.parquet"
+  - name: validation
+    num_examples: 122
+    data_files: "parquet/validation.parquet"
+  - name: test
+    num_examples: 125
+    data_files: "parquet/test.parquet"
+  dataset_size: 1089
+tags:
+- atr
+- htr
+- ocr
+- historical
+- handwritten
+---
+
+# PELLET Casimir Marius - Line level
+
+## Table of Contents
+- [PELLET Casimir Marius - Line level](#pellet-casimir-marius---line-level)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+  - [Usage with the PyLaia library](#usage-with-the-pylaia-library)
+
+## Dataset Description
+
+- **Homepage:** [Europeana](https://europeana.transcribathon.eu/documents/story/?story=121795/)
+- **Point of Contact:** [TEKLIA](https://teklia.com)
+
+## Dataset Summary
+
+The PELLET Casimir Marius dataset includes 100 annotated French letters written between 1914 and 1918.
+Annotations were done at line-level and all images do not have any text.
+
+Note that all images are resized to a fixed height of 128 pixels.
+
+### Languages
+
+All the documents in the dataset are written in French.
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1684x128 at 0x1A800E8E190,
+  'text': 'LE HAVRE - panorama de la rue de Paris'
+}
+```
+
+### Data Fields
+
+- `image`: a PIL.Image.Image object containing the image. Note that when accessing the image column (using dataset[0]["image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
+- `text`: the label transcription of the image.
+
+## Usage with the PyLaia library
+
+- clone the repository or at least the `data` folder
+- you can use this dataset to reproduce the training, train a new model, infer on any of the set
+