---
license: cc-by-nc-sa-4.0
---

### Dataset Description

The dataset is collected and used in paper [Modeling Empathetic Alignment in Conversation](https://arxiv.org/abs/2405.00948). It contains therapeutic Reddit conversations labeled with 9,284 appraisals from both the Target and Observer and 3,262 alignments between the Target and Observer. 

The dataset has the following entries:

| id   | target_id | observer_id | parent_id | subreddit | target_text | observer_text | distress_score | condolence_score | empathy_score | full_text | spans                      | alignments                                                   |
| ---- | --------- | ----------- | --------- | --------- | ----------- | ------------- | -------------- | ---------------- | ------------- | --------- | -------------------------- | ------------------------------------------------------------ |
| int  | string    | string      | string    | string    | string      | string        | float          | float            | float         | string    | [start, end, label], ... ] | [[(target_start, target_end), (observer_start, observer_end)], ...] |

+ `id`: the id of current instance
+ `target_id` (our project specific): the id of target text from Reddit API
+ `observer_id` (our project specific): the id of observer text from Reddit API
+ `parent_id` (our project specific): the `parent_id` of comment or post from Reddit API
+ `subreddit` (our project specific): Subreddit name
+ `target_text`: target text
+ `observer_text`: observer text
+ `distress_score`: the distress score for target (refer to the paper for getting the score)
+ `condolence_score`: the condolence score for observer (refer to the paper for getting the score)
+ `empathy_score`: the empathy score for target-observer pair (refer to the paper for getting the score)
+ `full_text`: the combination of `target_text` and `observer_text` with the format of `target:\n\n${target_text}\n\nobserver:\n\n${observer_text}`
+ `spans`: annotated appraisals, including *Pleasantness, Anticipated Effort, Certainty, Objective Experience, Self-Other Agency, Situational Control, Advice, Trope*
+ `alignments`: annotated alignments

### Data Sources

Candidate data for annotation was selected from all post-comment pairs and comment-reply to those posts in 35 English-language Subreddits from 2019-01 to 2021-06.

### Annotation Guidelines
Please refer to [codebook](https://docs.google.com/document/d/15kjpQUZxepefT5cqlFdeI5pj4arPK_Zk8apsUVBuBBk/edit?usp=sharing) for more details.