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
All code necessary to import and convert annotations from the formats they
were originally provided in.
Annotation plain text tables with timing matching the entire "research cut"
as one continuous piece.
Annotation plain text tables with timing matching individual movie segments
used in the studyforrest.org project.
Datalad subdatasets referencing repositories with available annotations.
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
DataLad datasets and how to use them
This repository is a DataLad dataset
dataset (id: 45b9ab26-07fc-11e8-8c71-f0d5bf7b55). It provides
fine-grained data access down to the level of individual files, and allows for
tracking future updates. In order to use this repository for data retrieval,
DataLad is required. It is a free and
open source command line tool, available for all major operating
systems, and builds up on Git and git-annex
to allow sharing, synchronizing, and version controlling collections of
large files. You can find information on how to install DataLad at
handbook.datalad.org/en/latest/intro/installation.html.
Get the dataset
A DataLad dataset can be cloned by running
datalad clone <url>
Once a dataset is cloned, it is a light-weight directory on your local machine.
At this point, it contains only small metadata and information on the
identity of the files in the dataset, but not actual content of the
(sometimes large) data files.
Retrieve dataset content
After cloning a dataset, you can retrieve file contents by running
datalad get <path/to/directory/or/file>`
This command will trigger a download of the files, directories, or
subdatasets you have specified.
DataLad datasets can contain other datasets, so called subdatasets.
If you clone the top-level dataset, subdatasets do not yet contain
metadata and information on the identity of files, but appear to be
empty directories. In order to retrieve file availability metadata in
subdatasets, run
datalad get -n <path/to/subdataset>
Afterwards, you can browse the retrieved metadata to find out about
subdataset contents, and retrieve individual files with datalad get.
If you use datalad get <path/to/subdataset>, all contents of the
subdataset will be downloaded at once.
Stay up-to-date
DataLad datasets can be updated. The command datalad update will
fetch updates and store them on a different branch (by default
remotes/origin/master). Running
datalad update --merge
will pull available updates and integrate them in one go.
More information
More information on DataLad and how to use it can be found in the DataLad Handbook at
handbook.datalad.org. The chapter
"DataLad datasets" can help you to familiarize yourself with the concept of a dataset.
