Create README.md

README.md

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+# Dataset Card for easy-to-read translation
+
+## Table of Contents
+-[Table of Contents](#table-of-contents)
+-[Dataset Description](#dataset-description)
+  -[Dataset Summary](#dataset-summary)
+  -[Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  -[Languages](#languages)
+-[Dataset Structure](#dataset-structure)
+  -[Data Instances](#data-instances)
+  -[Data Fields](#data-fields)
+-[Dataset Creation](#dataset-creation)
+  -[Source Data](#source-data)
+  -[Annotations](#annotations)
+
+## Dataset Description
+- **Point of Contact:** [Vanessa Alvear]([email protected]), [Manuel García] ([email protected]), [Mirari San-Martin] ([email protected])
+
+### Dataset Summary
+A corpus with a subset of 20,920 videos of 30 fingerspelled letters of the LSE (which comes from Lengua de Signos Española) alphabet and five seleccted signs  ("Good morning", "Good afternoon", "Good night", "Thank you" and "Claps").
+This dataset was compiled with the aim of creating a multi-person dataset to reduce the language barrier for people with hearing impairments.
+
+### Supported Tasks and Leaderboards
+
+Video Classification
+
+## Languages
+Spanish and Spanish Sign Language.
+
+## Dataset Structure
+
+### Data Instances
+
+For each instance, there is a string for 
+
+The dataset is composed of 20,920 videos in .avi and .mp4 formats and a txt for each video with the skeleton data.
+
+
+### Data Fields
+The dataset contains 18 folders containing all the videos. The most important information about each video is provided in its name. Each video name contains the background it was recorded on, the camera, the viewing angle, video type (RGB, Depth, or IR), gesture, hand used, participant ID, and gesture repetition number.
+Moreover, there is a folder with all the txt files.
+
+## Source Data
+The dataset was taken with 4 different cameras: 2x Logitech cameras at 640x480 resolution and 30 FPS, 2x Microsoft cameras at 640x480 resolution and 30 FPS, 1x FEMTO that captures 3 different types of video; RGB at 1920x1080 resolution and 30 FPS, Depth at 640x576 resolution at 30 FPS and Infrared at 640x576 resolution at 30 FPS and 1x Realsense that captures 2 different types of video; RGB at 640x480 resolution at 30 FPS and Depth at 640x480 resolution at 30 FPS.
+ 
+
+
+## Annotations
+The dataset contains a total of 20,920 videos divided between the letters of the LSE finger alphabet and five simple actions (Aplausos, Buenos Días, Buenas Tardes, Buenas Noches and Gracias).
+The minimum number of videos per class for letters is XXX and around XXX for the rest of the letters. The maximum number of videos for a letter is XXX and for actions, a minimum of XXX per action (for the action Gracias) and a maximum of XXX (for the action Buenos Días).
+
+## Licensing
+Alguna gratuita y de código abierto tipo GPL
+
+## Citation information
+Aquí poner la referencia para poder citarlo en BibTex