Update
We have released a new dataset: anki-revlogs-10k.
Introduction
FSRS-Anki-20k is a dataset of 20k collections from Anki for FSRS project. It is a random sample of collections with 5000+ revlog entries, so it should contain a mix of older (still active) users, and newer users. Entries are pre-sorted in (cid, id) order.
There are two versions of the dataset: ./revlogs
and ./dataset
. The ./revlogs
version contains the raw revlog entries, while the ./dataset
version contains the dataset preprocessed by ./revlogs2dataset.py
. The size of the raw revlog entries is ~50GB, and the size of the preprocessed dataset is ~20GB.
Data Format
Revlogs
Please see the protocol buffer definition in stats.proto. For the fields that are not self-explanatory, please refer to the Anki Database Structure.
Dataset
The columns of the dataset are as follows:
- card_id: the unique identifier for each flashcard.
- review_th: the ordinal number of the review among all reviews done by the user.
- elapsed_days: the number of days since the last review of this flashcard. -1 if this is the first review.
- elapsed_seconds: the number of seconds since the last review of this flashcard. -1 if this is the first review.
- rating: the rating given by the user for this review, 1: again, 2: hard, 3: good, 4: easy. Where only 'again' indicates a failed recall, and all other scores indicate a successful recall.
- state: the state of the flashcard, 0: new, 1: learning, 2: review, 3: relearning, 4: filtered.
- duration: the duration of the review in milliseconds.
Preprocess
- read the revlog entries from the .revlog file.
- remove the revlog entries generated by reviews in filtered decks when the user disables the option "Reschedule cards based on my answers in this deck".
- remove the revlog entries generated by manual (re)scheduling like Forget and Set Due Date.
- keep the revlog entries from the latest learning start sequence for each flashcard.
- calculate the time between reviews of each flashcard (elapsed_days & elapsed_seconds), review order (review_th), and encode card_id numerically.
- save the dataset to a .csv file.
License
This dataset is released under the FSRS-Anki-20k License.
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