OpenLiliO/mili-o

Filename of each json are represented like this :

<corpusName>_<NumberOfSpeaker>_<split>.json

Each json file contains a list of dictionaries, each dictionary representing a conversation turn with the following keys:

• caller: The speaker of the turn (e.g., "Speaker 1", "Speaker 2").
• next_caller: The next speaker in the conversation (e.g., "Speaker 2", "Speaker 1").
• act_tad: The DAMSL act tag for the turn (e.g., "Statement-opinion", "Question-yesno").
• text: The text of the turn.
• context: A list of previous turns in the conversation, each represented as a dictionary with the same structure.

To build the dataset, you can use the following code snippet:

python build_from_corpus.py --split=<split> --config_file=<config_file>

With <split> being either train, dev, or test, and <config_file> being the path to the configuration file that specifies the corpus and other parameters.

Example of config_file.json

{
    "dataset_name" : "swda",
    "fname_key" : "swda_filename",
    "act_tag_key" : "damsl_act_tag",
    "caller_key" : "caller",
    "act_code_file" : "actCorpus/swda.json",
    "output_name" : "swda",
    "text_key" : "text"
}