annotations of the "Forrest Gump" movie stimulus

Michael Hanke 6ad80d5b79 Put text files into git 6 年之前
.datalad ba3e64506c [DATALAD] new dataset 6 年之前
code 7979f0845e Importer for emotion annotation raw data 6 年之前
old 27a589535a Move all previous annotations aside for BIDS-style replacements 6 年之前
researchcut 9d3c4d7ea7 [DATALAD RUNCMD] Import location annotation 6 年之前
segments 9065f73fe3 [DATALAD RUNCMD] Location annotation segments for aomovie 6 年之前
src a4e0cf4e28 [DATALAD] added content 6 年之前
.gitattributes 6ad80d5b79 Put text files into git 6 年之前
.gitmodules a4e0cf4e28 [DATALAD] added content 6 年之前
LICENSE f31675e212 Initial commit 8 年之前
README.md dec12b05b4 Improved README 6 年之前

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