Update README.md

README.md

@@ -1,3 +1,66 @@
 ---
 license: mit
+language:
+- en
+task_categories:
+- image-to-text
+pretty_name: IAM
+
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: text
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 6481
+    - name: validation
+      num_examples: 976
+    - name: test
+      num_examples: 2914
+  dataset_size: 10373
 ---
+
+# Esposalles Dataset
+
+## Table of Contents
+- [Esposalles Dataset](#esposalles-dataset)
+  - [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](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database)
+- **Paper:** [Paper](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.
+
+### 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: 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.