v0.3.0

Fixed

• Now catches SSLError and OSError when processing images.
• Now catches ReadTimeoutError when processing articles.
• The (:Tweet)-[:MENTIONS]->(:User) was missing in the dataset. It has now
  been added back in.
• Added tokenizer truncation when adding node embeddings.
• Fixed an issue with embedding user descriptions when the description is not
  available.

Changed

• Changed the download link to the dataset, which now fetches the dataset from
  a specific commit, enabling proper dataset versioning.
• Changed the timeout parameter when downloading images from five seconds to
  ten seconds.
• Now processing 50 articles and images on each worker, compared to the
  previous 5.
• When loading in an existing dataset, auxilliaries and islands are removed.
  This ensures that to_dgl works properly.

Removed

• Removed the review warning from the README and when initialising the
  dataset. The dataset is still not complete, in the sense that we will add
  retweets and timelines, but we will instead just keep versioning the dataset
  until we have included these extra features.

v0.2.0

Added

• Added claim embeddings to Claim nodes, being the transformer embeddings of
  the claims translated to English, as described in the paper.
• Added train/val/test split to claim nodes. When exporting to DGL using the
  to_dgl method, the Claim and Tweet nodes will have train_mask, val_mask
  and test_mask attributes that can be used to control loss and metric
  calculation. These are consistent, meaning that tweets connected to claims
  will always belong to the same split.
• Added labels to both Tweet and Claim nodes.

Fixed

• Properly embeds reviewers of claims in case a claim has been reviewed by
  multiple reviewers.
• Load claim embeddings properly.
• Catches TooManyRequests exception when extracting images.
• Load dataset CSVs with Python engine, as the C engine caused errors.
• Disable tokenizer parallelism, which caused warning messages during
  rehydration of tweets.
• Ensure proper quoting of strings when dumping dataset to CSVs.
• Enable truncation of strings before tokenizing, when embedding texts.
• Convert masks to integers, which caused an issue when exporting to a DGL
  graph.
• Bug when computing reviewer embeddings for claims.
• Now properly shows compiled=True when printing the dataset, after
  compilation.

Changed

• Changed disclaimer about review period.

v0.1.4

Fixed

• Include (:User)-[:POSTED]->(:Reply) in the dataset, extracted from the
  rehydrated reply and quote tweets.

v0.1.3

Fixed

• Compilation error when including images.
• Only include videos if they are present in the dataset.
• Ensure that article embeddings can properly be converted to PyTorch tensors
  when exporting to DGL.

v0.1.2

Fixed

• The replies were not reduced correctly when the small or medium variants
  of the dataset was compiled.
• The reply features were not filtered and renamed properly, to keep them
  consistent with the tweet nodes.
• Users without any description now gets assigned a zero vector as their
  description embedding.
• If a relation does not have any node pairs then do not try to create a
  corresponding DGL relation.
• Reset nodes and rels attributes when loading dataset.
• Add embeddings for Reply nodes.

v0.1.1

Changed

• Changed installation instructions in readme to pip install mumin.

v0.1.0

Added

• First release, including a MuminDataset class that can compile the dataset
  dump the compiled dataset to local csv files, and export it as a dgl
  graph.