10 batches of Reddit text data annotated for self-disclosure using the CoNLL IOB2 sequence labeling format. Batches 1 through 8 contain single-annotator labels, while batches 9 and 10 provide higher-quality data through dual-annotation and expert adjudication.
Use Cases
- Train a sequence labeling model to identify self-disclosure spans using the IOB2 tags.
- Evaluate model performance against the adjudicated gold standard provided in batches 9 and 10.
- Perform error analysis on single-annotator labels from batches 1-8 compared to the adjudicated results.
Strengths
- 10 batches of Reddit text data annotated for self-disclosure.
- Data provided in CoNLL IOB2 format for token-level classification.
- Batches 9 and 10 feature dual-annotation followed by a formal adjudication process.