Datasets:
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README.md
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---
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dataset_info:
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features:
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- name: id
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dtype: int64
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- name: patient_question
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dtype: string
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- name: patient_question_rus
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dtype: string
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- name: distorted_part
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sequence: string
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- name: distorted_part_rus
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sequence: string
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- name: dominant_distortion
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dtype: string
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- name: secondary_distortion
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dtype: string
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splits:
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- name: train
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num_bytes: 7284603
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num_examples: 2525
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download_size: 3860591
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dataset_size: 7284603
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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- ru
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tags:
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- Psychology
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- Cognitive_distortion
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- NLP
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size_categories:
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- 1K<n<10K
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---
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This dataset was originally published [here](https://www.kaggle.com/datasets/sagarikashreevastava/cognitive-distortion-detetction-dataset/). We translated it into Russian by our pipeline that relies on a power of modern LLMs. You can find translated texts by attributes that contain a suffix "_ru". Next we provide original description.
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# Cognitive Distortion detetction dataset
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Dataset used for "Detecting Cognitive Distortions from Patient-Therapist Interactions" by Sagarika Shreevastava and Peter W. Foltz -
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Therapist_responses.csv contains the questions asked by the patients and the respective response by a liscenced therapist. The ID_number given in this dataset can be used to match the annotated Patient's input to the therapist responses. The source of this data: https://www.kaggle.com/datasets/arnmaud/therapist-qa
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---
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+
dataset_info:
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+
features:
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| 4 |
+
- name: id
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| 5 |
+
dtype: int64
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| 6 |
+
- name: patient_question
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| 7 |
+
dtype: string
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| 8 |
+
- name: patient_question_rus
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| 9 |
+
dtype: string
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| 10 |
+
- name: distorted_part
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| 11 |
+
sequence: string
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| 12 |
+
- name: distorted_part_rus
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| 13 |
+
sequence: string
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| 14 |
+
- name: dominant_distortion
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| 15 |
+
dtype: string
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| 16 |
+
- name: secondary_distortion
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| 17 |
+
dtype: string
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| 18 |
+
splits:
|
| 19 |
+
- name: train
|
| 20 |
+
num_bytes: 7284603
|
| 21 |
+
num_examples: 2525
|
| 22 |
+
download_size: 3860591
|
| 23 |
+
dataset_size: 7284603
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| 24 |
+
configs:
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| 25 |
+
- config_name: default
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+
data_files:
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+
- split: train
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+
path: data/train-*
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+
license: mit
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+
task_categories:
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+
- text-classification
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| 32 |
+
language:
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| 33 |
+
- en
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| 34 |
+
- ru
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| 35 |
+
tags:
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| 36 |
+
- Psychology
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| 37 |
+
- Cognitive_distortion
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| 38 |
+
- NLP
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| 39 |
+
size_categories:
|
| 40 |
+
- 1K<n<10K
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| 41 |
+
---
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| 42 |
|
| 43 |
This dataset was originally published [here](https://www.kaggle.com/datasets/sagarikashreevastava/cognitive-distortion-detetction-dataset/). We translated it into Russian by our pipeline that relies on a power of modern LLMs. You can find translated texts by attributes that contain a suffix "_ru". Next we provide original description.
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# Cognitive Distortion detetction dataset
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+
Dataset used for "[Detecting Cognitive Distortions from Patient-Therapist Interactions[(https://aclanthology.org/2021.clpsych-1.17.pdf)" by Sagarika Shreevastava and Peter W. Foltz -
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Therapist_responses.csv contains the questions asked by the patients and the respective response by a liscenced therapist. The ID_number given in this dataset can be used to match the annotated Patient's input to the therapist responses. The source of this data: https://www.kaggle.com/datasets/arnmaud/therapist-qa
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