Duplicate from Teklia/IAM-line

Co-authored-by: Yoann Schneider <yschneider@users.noreply.huggingface.co>

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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
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+# Audio files - compressed
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README.md

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+---
+license: mit
+language:
+- en
+task_categories:
+- image-to-text
+pretty_name: IAM-line
+
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: text
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 6482
+    - name: validation
+      num_examples: 976
+    - name: test
+      num_examples: 2915
+  dataset_size: 10373
+tags:
+  - atr
+  - htr
+  - ocr
+  - modern
+  - handwritten
+---
+
+# IAM - line level
+
+## Table of Contents
+- [IAM - line level](#iam-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)
+
+## Dataset Description
+
+- **Homepage:** [IAM Handwriting Database](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database)
+- **Paper:** [The IAM-database: an English sentence database for offline handwriting recognition](https://doi.org/10.1007/s100320200071)
+- **Point of Contact:** [TEKLIA](https://teklia.com)
+
+## Dataset Summary
+
+The IAM Handwriting Database contains forms of handwritten English text which can be used to train and test handwritten text recognizers and to perform writer identification and verification experiments.
+
+Note that all images are resized to a fixed height of 128 pixels.
+
+### Languages
+
+All the documents in the dataset are written in English.
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2467x128 at 0x1A800E8E190,
+  'text': 'put down a resolution on the subject'
+}
+```
+
+### 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.

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