{"id":26898383,"url":"https://github.com/sodascience/workshop_llm_data_collection","last_synced_at":"2026-04-16T19:02:51.872Z","repository":{"id":283271951,"uuid":"951217729","full_name":"sodascience/workshop_llm_data_collection","owner":"sodascience","description":" This repository contains the code and slides for our workshop on data collection and inference with Large Language Models","archived":false,"fork":false,"pushed_at":"2026-03-24T11:31:33.000Z","size":12828,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2026-03-25T14:39:01.046Z","etag":null,"topics":["data-collection","inference","llm","python","r","workshop","workshop-materials"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sodascience.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-03-19T10:41:54.000Z","updated_at":"2026-03-24T11:31:37.000Z","dependencies_parsed_at":null,"dependency_job_id":"e845713f-3e63-42e8-97c8-b1868aa6b978","html_url":"https://github.com/sodascience/workshop_llm_data_collection","commit_stats":null,"previous_names":["sodascience/workshop_llm_data_collection"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/sodascience/workshop_llm_data_collection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_llm_data_collection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_llm_data_collection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_llm_data_collection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_llm_data_collection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sodascience","download_url":"https://codeload.github.com/sodascience/workshop_llm_data_collection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_llm_data_collection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31899986,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T18:22:33.417Z","status":"ssl_error","status_checked_at":"2026-04-16T18:21:47.142Z","response_time":69,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-collection","inference","llm","python","r","workshop","workshop-materials"],"created_at":"2025-04-01T05:46:50.770Z","updated_at":"2026-04-16T19:02:51.865Z","avatar_url":"https://github.com/sodascience.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Workshop Data Collection with LLMs in Social Sciences\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.16631539.svg)](https://doi.org/10.5281/zenodo.16631539)\n\nThis repository contains the code and slides for our workshop on data collection and inference with Large Language Models. The materials on this page are [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) licensed.\n\n![cc](https://mirrors.creativecommons.org/presskit/icons/cc.svg) ![by](https://mirrors.creativecommons.org/presskit/icons/by.svg)\n\nMore information can be found on the website [here](https://sodascience.github.io/workshop_llm_data_collection/).\n\n\u003cimg src=\"img/llm_data_collection.png\" alt=\"SoDa logo\" width=\"100%\"/\u003e\n\n## Tutorial Paper\nRead and cite our tutorial paper (preprint):\n- Fang, Q., Garcia-Bernardo, J., \u0026 van Kesteren, E. (2026, March 23). A Methodological Guide on Using Large Language Models for Text Annotation in the Social Sciences and Humanities with Python and R. Retrieved from osf.io/preprints/socarxiv/v4eq6_v2\n- [`Download`](https://osf.io/preprints/socarxiv/v4eq6_v2) from OSF\n\n## Technical details\n- No previous experience with LLMs is required.\n- `R` or `python` programming knowledge is desired but not required.\n- In python we will use [`langchain`](https://python.langchain.com/docs/introduction/), in R we will use [`ellmer`](https://ellmer.tidyverse.org/) to interact with LLMs.\n\n## Slides\n- Full workshop slides (v2026.01.23): [`Download`](./slides/soda_llm_workshop_slides.pdf)\n- ODISSEI 2025 workshop slides: [`Download`](./slides/soda_llm_workshop_odissei_25_slides.pdf)\n\n## Full Workshop Schedule\n\n| Time  | Title                                | Resource                                                                            |\n| :---- | :----------------------------------- | :------------------------------------------------------------------------------------------- |\n| 09:30 | LLM fundamentals for Social Sciences |                                                  |\n| 11:00 | Coffee break                         | Coffee is provided!                                                                          |\n| 11:20 | Data collection/annotation with LLMs | [`python`](https://colab.research.google.com/github/sodascience/workshop_llm_data_collection/blob/main/notebooks/llm_data_collection_py.ipynb), [`R`](https://colab.research.google.com/github/sodascience/workshop_llm_data_collection/blob/main/notebooks/llm_data_collection_R.ipynb) |\n| 12:30 | Break                                | Lunch is provided!                                                                           |\n| 13:15 | Inference with LLM annotations    | [`python`](https://colab.research.google.com/github/sodascience/workshop_llm_data_collection/blob/main/notebooks/llm_inferential_regression_py.ipynb), [`R`](https://colab.research.google.com/github/sodascience/workshop_llm_data_collection/blob/main/notebooks/llm_inferential_regression_R.ipynb)     |\n| 14:30 | Conclusion \u0026 Q\u0026A                     |                                                                                              |\n\nMethods and software for inference with measurement error correction: [sodascience/social_science_inferences_with_llms](https://github.com/sodascience/social_science_inferences_with_llms).\n\n## Contact\n\nThis project is developed and maintained by the [ODISSEI Social Data Science (SoDa)](https://odissei-soda.nl/) team.\n\n\u003cimg src=\"img/soda_logo.png\" alt=\"SoDa logo\" width=\"250px\"/\u003e\n\nDo you have questions, suggestions, or remarks? File an [issue](https://github.com/sodascience/workshop_llm_data_collection/issues) or feel free to contact [Qixiang Fang](https://github.com/fqixiang) or [Erik-Jan van Kesteren](https://github.com/vankesteren).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsodascience%2Fworkshop_llm_data_collection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsodascience%2Fworkshop_llm_data_collection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsodascience%2Fworkshop_llm_data_collection/lists"}