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README.md
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### Data Fields
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- sentence (a string feature): text message where the abusiveness is evaluated.
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- topic (a string feature): category from Racó Català forums where the sentence comes from.
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- keywords (a list of strings): keywords used to select the candidate messages to annotate.
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- context_needed (a string feature): "yes" / "no" if all the annotators consulted / did not consult the context to decide on the sentence's abusiveness, "maybe" if there was not agreement about it.
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- is_abusive (a bool feature): "abusive" or "not_abusive"
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- abusiveness_agreement (a string feature): "full" if the two annotators agreed on the abusiveness/not-abusiveness of the sentence, and "partial" if the abusiveness had to be decided by a third annotator.
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- abusive_spans (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): the sequence of words that attribute to the text's abusiveness.
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- is_implicit (a string): whether the abusiveness is explicit (contains a profanity, slur or threat) or implicit (does not contain a profanity or slur, but is likely to contain irony, sarcasm or similar resources)
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- target_spans (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): if found in the message, the sequence(s) of words that refer to the target of the text's abusiveness
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- target_type (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): three possible categories. The categories are non-exclusive, as some targets may have a dual identity and more than one target may be detected in a single message.
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- individual
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- group
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- other
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### Data Splits
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### Data Fields
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- ``id`` (a string feature): unique identifier of the instance.
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- ``context`` (a string feature): complete text message from the user surrounding the sentence (it can coincide totally or only partially with the sentence).
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- ``sentence`` (a string feature): text message where the abusiveness is evaluated.
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- ``topic`` (a string feature): category from Racó Català forums where the sentence comes from.
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- ``keywords`` (a list of strings): keywords used to select the candidate messages to annotate.
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- ``context_needed`` (a string feature): "yes" / "no" if all the annotators consulted / did not consult the context to decide on the sentence's abusiveness, "maybe" if there was not agreement about it.
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- ``is_abusive`` (a bool feature): "abusive" or "not_abusive"
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- ``abusiveness_agreement`` (a string feature): "full" if the two annotators agreed on the abusiveness/not-abusiveness of the sentence, and "partial" if the abusiveness had to be decided by a third annotator.
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- ``abusive_spans`` (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): the sequence of words that attribute to the text's abusiveness.
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- ``is_implicit`` (a string): whether the abusiveness is explicit (contains a profanity, slur or threat) or implicit (does not contain a profanity or slur, but is likely to contain irony, sarcasm or similar resources)
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- ``target_spans`` (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): if found in the message, the sequence(s) of words that refer to the target of the text's abusiveness
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- ``target_type`` (a dictionary with field 'text' (list of strings) and 'index' (list of strings)): three possible categories. The categories are non-exclusive, as some targets may have a dual identity and more than one target may be detected in a single message.
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- ``individual``: a famous person, a named person or an unnamed person interacting in the conversation.
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- ``group``: considered to be a unit based on the same ethnicity, gender or sexual orientation, political affiliation, religious belief or something else.
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- ``other``; e.g. an organization, a situation, an event, or an issue
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### Data Splits
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