v0.1.0.0-alpha

This release will has examples for three different tasks, and some utilities for adapting the data from FLEXible into a Neural Network, i.e., a *basic data collator for classification tasks or an adapter for semantic similarity triplets datasets.

In the first version the notebooks with examples were done for the following tasks:

• Sentiment Analysis (SA) using the IMDb dataset.
• Question Answering (QA) using the Squad dataset.
• Semantic Similarity (SS) using the TripleQQ dataset.

What's Changed

• Added first lines for the tutorial using an LSTM. Added the gitignore. by @AlArgente in #1
• First notebook for QA added. Need to be tested on the server's GPUs. by @cristinazuhe in #2
• Change the GRU to a BiGRU in the SA Task by @AlArgente in #3
• Semantic Search / Semantic Similarity by @AlArgente in #4
• Deleted some scripts. TODO: Review the notebooks. by @cristinazuhe in #5
• Add nlp aggregators by @AlArgente in #6

New Contributors

• @cristinazuhe made their first contribution in #2
• @AlArgente made their first contribution in #1

Full Changelog: https://github.com/FLEXible-FL/flex-nlp/commits/v0.1.0-alpha