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Efficient learning free recall dataset

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale

Research direction

Start by reviewing the linked efficient-learning-data dataset and the Soch et al. Bayesian TCM paper, then decide which prediction target and model scope to pursue. Done would mean a defined modeling plan and results for selected targets such as overall recall, clustering, individual recalls, or thought trajectories; the Howard and Kahana dataset is an additional possible scope.

Written by the indexing model from the issue text.

Description

Dataset

Free recall data from a bunch of different free recall variants. Download link.

Things to do

Dominant language
Jupyter Notebook
Stars
17
Forks
4
PR merge metrics
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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