Question-Level Feature Extraction on DAIC-WOZ Dataset

Question-Level Feature Extraction on DAIC-WOZ Dataset

The DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.

Question-Level Feature Extraction on DAIC-WOZ Dataset

Podrobný úvod

The DAIC-WOZ dataset is a valuable resource for researchers working on psychological distress conditions. This repository provides tools and code for extracting features at the question level, which can help in understanding the role of multimodal features in diagnosing depression. The related paper provides further insights into the methodology and results.

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Datová sada

HuggingFaceFW/fineweb-2
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HuggingFaceFW/fineweb-2

FineWeb-2 is a dataset of over 15 trillion tokens of cleaned and deduplicated English web data from CommonCrawl. This is the second iteration of the popular 🍷 FineWeb dataset, bringing high quality pretraining data to over 1000 🗣️ languages.The 🥂 FineWeb2 dataset is fully reproducible, available under the permissive ODC-By 1.0 license and extensively validated through hundreds of ablation experiments.In particular, on the set of 9 diverse languages we used to guide our processing decisions, 🥂 FineWeb2 outperforms other popular pretraining datasets covering multiple languages (such as CC-100, mC4, CulturaX or HPLT, while being substantially larger) and, in some cases, even performs better than some datasets specifically curated for a single one of these languages, in our diverse set of carefully selected evaluation tasks: FineTasks.

Psychology Therapy Dataset- halilxibrahim/psychology-therapy
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Psychology Therapy Dataset- halilxibrahim/psychology-therapy

Dataset Card for Psychology Therapy Dataset : This dataset card aims to provide information about a dataset focused on psychology therapy conversations. Language(s) (NLP): Turkish (tr)

ICASSP2022-Depression: Automatic Depression Detection
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ICASSP2022-Depression: Automatic Depression Detection

This repository provides code and data for automatic depression detection using a GRU/BiLSTM-based model. It includes an emotional audio-textual corpus designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder.

Klíčová slova

DAIC-WOZFeature ExtractionMental HealthDepressionMultimodal Analysis

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