Mailman 3 - pymovements

Contributing new dataset
by Sam Boeve Dec. 10, 2025

Dec. 10, 2025

Dear Pymovements team, I'm currently working on an eye-tracking dataset and would like to also make this dataset available through pymovements. The dataset consists of precomputed reading measures (e.g., first fixation duration, gaze duration, etc.) for participants diagnosed with dyslexia, reading an entire novel in both their first and second language (i.e., Dutch and English, respectively). This data is analogous to the GECO dataset<https://link.springer.com/article/10.3758/s13428-016-0734-0>, with the difference that for our dataset all participants have an official diagnosis of dyslexia. While the paper associated to the dataset is not yet under review, we are working towards a submission in early January. After reading the documentation on contributing I was still unsure what the appropriate first step is to contribute a dataset: * Is it enough to create a new issue on the Pymovement github with a description, citation and URL for the dataset once the paper is published? * Are there any constraints or preferences regarding the repository where the dataset is stored (e.g., OSF or github)? Thank you for the assistance and for making an initiative like pymovements happening. P.S.: the email address mentioned in the paper appears to be incorrect. pymovements(a)python.com Best, Sam --- Sam Boeve, PhD Candidate Department of Experimental Psychology Ghent University Henri Dunantlaan 2, 9000 Ghent, Belgium [cid:3b25dace-4803-40d0-bdc9-2bb64cbf71f4] https://www.bogaertslab.com/

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Pymovements Questions: Attaching trial info & Blink filtering
by Sofia Karageorgiou Sept. 19, 2025

Sept. 19, 2025

Good morning, I hope this email finds you well. I have been using pymovements and enjoying it greatly, thanks for your work! As a coding beginner the docs have been very helpful but after going through them, I cannot seem to figure out two things. 1. I am struggling with attaching my trial info to my samples and fixations data as extra columns. I tried capturing it with custom_read_kwargs as well as using the trial columns but it does not seem to work. For reference, I am analysing Eyelink ASC files and my trial info is captured like this: > > Generic Eyelink MSG, then the timestamp, then the message > > > > MSG 1419128 TrialId_Overall Practice: 1 > > - this contains which block type it is, can be practice, experiment or extra, as well as the trial number within that block > > > > > > > MSG 1419129 ImageNumber: 4 > > - contains presented image for the trial > > > > > > > MSG 1431431 203 > > - contains event code (here 203) that represents image quality > > > 2. Moreover, I was wondering what the easiest way is to filter out blinks, preferably with a blink padding. I noticed that some blink metrics are stored within the metadata but I cannot find the individual blinks being stored anywhere. I would be very greatful if you could give me some tips on how to do these things with pymovements (if possible!). Thanks a lot! Best, Sofia

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pymovements v0.22.0
by Daniel Krakowczyk May 15, 2025

May 15, 2025

We are proud to announce pymovements v0.22.0 🎉 ## 🏆 Highlights - HTML representations for Jupyter notebooks (#1112) ## 💥 Breaking Changes - restrict boolean arguments in `to_dict()` to keyword-only (#1150) - remove `utils.checks` from public api (#1094) - rename `zT` to `z_target_pos` in GazeBaseVR definition (#1068) ## ⚠️ Deprecations - deprecate `utils.plotting` (#1081) ## ✨ Enhancements - add `exclude_none` argument to `to_dict()` methods (#1149) - implement `Experiment.from_dict()` (#1108) - support passing `DatasetDefinition` to gaze init and io (#1004) - make `DatasetDefinition.long_name` optional (#1121) ## 📀 Datasets - add PoTeC reading measures (#1146) - add OneStop dataset (#1142) - add PoTeC fixation resources (#1104) - add EMTeC reading measures (#1122) - remove mirrors from datasets with no real mirrors (#1059) - rename `zT` to `z_target_pos` in GazeBaseVR definition (#1068) ## 🛠️ Maintenance - restrict boolean arguments in `to_dict()` to keyword-only (#1150) - update pyarrow requirement from \<19.1 to \<20.1 (#1132) - update polars requirement from \<1.28 to \<1.30 (#1133 #1137) - create workflow for benchmarking import times (#1087) - reduce CI compute by canceling outdated runs in PRs (#1123) - set `patterns` default to `None` in `from_asc()` (#1092) - remove `utils.checks` from public api (#1094) ## 📖 Documentation - HTML representations for Jupyter notebooks (#1112) - correct typo in readme code comment (#1130) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @SiQube, @Yanis750, @dkrako, @pufferss and @saeub

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pymovements v0.21.2
by Daniel Krakowczyk April 24, 2025

April 24, 2025

We are proud to announce pymovements v0.21.2 :tada: ## 🏆 Highlights - print disclaimer when downloading a public dataset (#1097) ## ✨ Enhancements - print disclaimer when downloading a public dataset (#1097) - add `DatasetDefinition.long_name` (#1096) - add `dtype` argument to `synthetic.step_function()` (#1018) - raise helpful error message for existing event properties (#1046) - add `GazeDataFrame.compute_event_properties()` (#922) - add `DatasetDefinition.to_dict()` (#1088) ## 🐞 Bug Fixes - Use `GAZE_COORDS` message to determine screen resolution (#1106) - revert deletion of opener (#1116) ## 🛠️ Maintenance - consistent pylint for pre-commit and tox (#1062) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @SiQube, @dkrako, @lefthandlou, @saeub, @senisioi and @xiaotiansu

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April 24, 2025

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pymovements v0.21.1
by Daniel Krakowczyk April 23, 2025

April 23, 2025

We are proud to announce **pymovements v0.21.1** ## ⚠️ Deprecations - deprecate `utils.aois` in favor of `TextStimulus.get_aoi()` (#1080) - deprecate `utils.downloads` in favor of `Dataset.download()` (#1030) - deprecate `utils.archives` in favor of `Dataset.extract()` (#1028) - deprecate `utils.strings` (#1031) - deprecate `utils.filters` (#1032) - deprecate `utils.paths` (#1029) ## 🚀 Performance improvements - resume archive extraction by default (#1034) ## ✨ Enhancements - use locale encoding by default in from\_asc() (#1084) - add auto\_column\_detect to from\_csv() (#1076) - add support for multiple recording specs per file to gaze.from\_asc() (#887) - make `mirrors` optional for downloading datasets (#1058) ## 📀 Datasets - add potsdam binge pvt datasets (#1044) - add mousecursor dataset by Pantanowitz et al. (#1009) - add trial\_columns to ToyDatasetEyeLink (#1069) ## 🐞 Bug Fixes - deduplicate resource filenames in UCL dataset (#1050) ## 🛠️ Maintenance - Remove bullet point from PR template (#1107) - correct time and velocity in detect\_test (#1101) - code cleanup (#1023) - add context section to PR template (#1093) - update polars requirement from <1.25 to <1.28 (#1051 #1073 #1095) - refactor filling experiment in from\_asc() (#1085) - remove unnecessary ignore of cyclic-import (#1077) - update typing-extensions requirement from <4.13 to <4.14 (#1078) - refactor GazeDataFrame init (#1070) - add pymovements version to download user agent (#1063) - remove xfails for #475 as they pass (#1065) - run integration tests for all datasets in library (#1049) - simplify public datasets tests (#1052) - add performance section to release-drafter (#1036) - change documentation emoji in release drafter (#1035) - set time\_unit default to None with fallback to ms (#1006) ## 📖 Documentation - add source button to sphinx docs (#1067) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @SiQube, @dkrako, @prassepaul, @saeub and @saphjra

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pymovements v0.21.0
by daniel＠krakowczyk.tech March 17, 2025

March 17, 2025

We are proud to announce pymovements v0.21.0! ## 🏆 Highlights - support yaml dataset definitions (#914) ## 💥 Breaking Changes - support yaml dataset definitions (#914) - resume archive extraction by skipping existing files (#786) ## ⚠️ Deprecations - Deprecate `utils.parsing` in favor of `gaze.from_asc()` (#976) ## 🚀 Performance improvements - resume archive extraction by skipping existing files (#786) ## ✨ Enhancements - support yaml dataset definitions (#914) - add DatasetLibrary.names() (#1022) - improve `Experiment` class (#1010) - implement `Screen` as dataclass (#1008) - resume archive extraction by skipping existing files (#786) - use entire row of aoi dataframe instead of just ia string (#852) - add encoding argument to from\_asc() (#989) ## 🛠️ Maintenance - create issue template for adding new datasets (#1048) - update sphinx requirement from >=5.3.0,\<7.4 to >=7.0,\<8.3 (#1017) - rename user agent to pymovements (#1012) - use correct documentation label in release drafter (#994) - add spearate documentation section in release drafter (#988) ## 📖 Documentation - Add metadata to public datasets table (#1040) - update supported file formats in Dataset docstring (#974) (#974) - Add release guide to CONTRIBUTING.md (#886) - add Datasets tab to main page in documentation (#985) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @MehrazRumman, @SiQube, @dkrako, and @saeub A special shoutout goes to @SiQube for implementing yaml dataset definition support!

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pymovements v0.21.0
by Daniel Krakowczyk March 17, 2025

March 17, 2025

We are proud to announce pymovements v0.21.0! ## 🏆 Highlights - support yaml dataset definitions (#914) ## 💥 Breaking Changes - support yaml dataset definitions (#914) - resume archive extraction by skipping existing files (#786) ## ⚠️ Deprecations - Deprecate `utils.parsing` in favor of `gaze.from_asc()` (#976) ## 🚀 Performance improvements - resume archive extraction by skipping existing files (#786) ## ✨ Enhancements - support yaml dataset definitions (#914) - add DatasetLibrary.names() (#1022) - improve `Experiment` class (#1010) - implement `Screen` as dataclass (#1008) - resume archive extraction by skipping existing files (#786) - use entire row of aoi dataframe instead of just ia string (#852) - add encoding argument to from\_asc() (#989) ## 🛠️ Maintenance - create issue template for adding new datasets (#1048) - update sphinx requirement from >=5.3.0,\<7.4 to >=7.0,\<8.3 (#1017) - rename user agent to pymovements (#1012) - use correct documentation label in release drafter (#994) - add spearate documentation section in release drafter (#988) ## 📖 Documentation - Add metadata to public datasets table (#1040) - update supported file formats in Dataset docstring (#974) (#974) - Add release guide to CONTRIBUTING.md (#886) - add Datasets tab to main page in documentation (#985) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @MehrazRumman, @SiQube, @dkrako, and @saeub A special shoutout goes to @SiQube for implementing yaml dataset definition support!

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pymovements v0.21.0
by Daniel Krakowczyk March 17, 2025

March 17, 2025

We are proud to announce pymovements v0.21.0! ## 🏆 Highlights - support yaml dataset definitions (#914) ## 💥 Breaking Changes - support yaml dataset definitions (#914) - resume archive extraction by skipping existing files (#786) ## ⚠️ Deprecations - Deprecate `utils.parsing` in favor of `gaze.from_asc()` (#976) ## 🚀 Performance improvements - resume archive extraction by skipping existing files (#786) ## ✨ Enhancements - support yaml dataset definitions (#914) - add DatasetLibrary.names() (#1022) - improve `Experiment` class (#1010) - implement `Screen` as dataclass (#1008) - resume archive extraction by skipping existing files (#786) - use entire row of aoi dataframe instead of just ia string (#852) - add encoding argument to from\_asc() (#989) ## 🛠️ Maintenance - create issue template for adding new datasets (#1048) - update sphinx requirement from >=5.3.0,\<7.4 to >=7.0,\<8.3 (#1017) - rename user agent to pymovements (#1012) - use correct documentation label in release drafter (#994) - add spearate documentation section in release drafter (#988) ## 📖 Documentation - Add metadata to public datasets table (#1040) - update supported file formats in Dataset docstring (#974) (#974) - Add release guide to CONTRIBUTING.md (#886) - add Datasets tab to main page in documentation (#985) ## 👷👷‍♀️👷‍♂️ Contributors Shoutout to all our contributors for making this release possible! @MehrazRumman, @SiQube, @dkrako, and @saeub A special shoutout goes to @SiQube for implementing yaml dataset definition support!

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