annotations of the "Forrest Gump" movie stimulus

Michael Hanke 07db1b4d27 [DATALAD RUNCMD] code/importer/emotions.py 6 лет назад
.datalad ba3e64506c [DATALAD] new dataset 6 лет назад
code 7979f0845e Importer for emotion annotation raw data 6 лет назад
old 27a589535a Move all previous annotations aside for BIDS-style replacements 6 лет назад
researchcut 07db1b4d27 [DATALAD RUNCMD] code/importer/emotions.py 6 лет назад
segments 9065f73fe3 [DATALAD RUNCMD] Location annotation segments for aomovie 6 лет назад
src a4e0cf4e28 [DATALAD] added content 6 лет назад
.gitattributes 6ad80d5b79 Put text files into git 6 лет назад
.gitmodules a4e0cf4e28 [DATALAD] added content 6 лет назад
LICENSE f31675e212 Initial commit 8 лет назад
README.md dec12b05b4 Improved README 6 лет назад

README.md

Stimulus annotations for the movie Forrest Gump

This repository collects stimulus annotations for the research cut of the "Forrest Gump" movie used in the studyforrest.org project. Annotations are collected from various contributors and publications.

Annotations are typically provided as plain text tables, using a tab-separated-value markup with a header row. Table usually contain a onset and a duration column to indicate the timing of an event. All other columns contain variables that describe properties of an event.

Repository content

  • code/

All code necessary to import and convert annotations from the formats they were originally provided in.

  • researchcut/

Annotation plain text tables with timing matching the entire "research cut" as one continuous piece.

  • segments/

Annotation plain text tables with timing matching individual movie segments used in the studyforrest.org project.

  • src/

Datalad subdatasets referencing repositories with available annotations.

  • old/ (deprecated)

Previously provided, less uniformly structured, annotation. All of these will eventually be replaced by the format described above. This directory will be removed in the future

General information

This is a DataLad dataset (id: 45b9ab26-07fc-11e8-8c71-f0d5bf7b55).

For more information on DataLad and on how to work with its datasets, see the DataLad documentation at: http://docs.datalad.org