Upload dataset

README.md

@@ -1,3 +1,80 @@
 ---
 license: mit
+language:
+- fr
+task_categories:
+- image-to-text
+pretty_name: PyLaia RIMES
+
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: text
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 10188
+    - name: validation
+      num_examples: 1138
+    - name: test
+      num_examples: 778
+  dataset_size: 12104
 ---
+
+# PyLaia RIMES Dataset
+
+## Table of Contents
+- [PyLaia RIMES Dataset](#pylaia-rimes-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)
+    - [Data Splits](#data-splits)
+
+## Dataset Description
+
+- **Homepage:** [ARTEMIS](https://artemis.telecom-sudparis.eu/2012/10/05/rimes/)
+- **PapersWithCode:** [Papers using the RIMES dataset](https://paperswithcode.com/dataset/rimes)
+- **Point of Contact:** [TEKLIA](https://teklia.com)
+
+### Dataset Summary
+
+Briefly summarize the dataset, its intended use and the supported tasks. Give an overview of how and why the dataset was created. The summary should explicitly mention the **languages** present in the dataset (possibly in broad terms, e.g. *translations between several pairs of European languages*), and describe the domain, topic, or genre covered.
+
+### Languages
+
+All the documents in the dataset are written in French.
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{
+  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2560x128 at 0x1A800E8E190,
+  'text': 'Comme indiqué dans les conditions particulières de mon contrat d'assurance'
+}
+```
+
+### 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.
+
+### Data Splits
+
+Describe and name the splits in the dataset if there are more than one.
+
+Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here.
+
+Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length.  For example:
+
+|                         | train | validation | test |
+|-------------------------|------:|-----------:|-----:|
+| Input Sentences         |       |            |      |
+| Average Sentence Length |       |            |      |

data/test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e817c5e4e7216754e692f24dc2a2a57b214d2a7a75d7cec5e2e27ad89db9b274
+size 40463

data/train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45a72c38b35786fb7ea3d3f43a3fb78392e32981a178ad31958a115d603acc74
+size 524384

data/validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6323870eb364761c93b73dc5697cd85993926c13b2665184974e6da67209821b
+size 59748