{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"}],"enrichment":{"capability":"Provides Python and Java bindings to read TREC Complex Answer Retrieval track data in CBOR format, including paragraph collections, outlines, and Wikipedia articles with preserved hyperlinks.","skillfed_tags":["information-retrieval","shared-task","wikipedia-data"],"use_cases":["Parse Wikipedia paragraph collections and outlines for TREC CAR shared task participation","Extract structured Wikipedia metadata (sections, hyperlinks, categories, infoboxes) for IR research","Format and validate ranking results to submit to TREC CAR evaluation","Integrate TREC CAR data into information retrieval pipelines supporting multiple format versions","Analyze Wikipedia structure and entity-passage relationships for complex answer retrieval"],"what_it_does":"trec-car-tools is a toolkit for participants in the TREC Complex Answer Retrieval track, a shared task in information retrieval research. It provides Python and Java libraries to deserialize Wikipedia data (articles, outlines, paragraphs) that have been encoded in CBOR binary format, and to serialize ranking results back into the standard TREC evaluation format. The package preserves Wikipedia-internal hyperlinks and metadata (categories, redirects, infoboxes, Wikidata IDs) during deserialization.\n\nThe typical workflow involves downloading TREC CAR data, using the package to parse it into Python or Java objects, running your retrieval or ranking algorithm, then using format_runs utilities to write results in the format expected by trec_eval and the official evaluation pipeline. It integrates with standard IR evaluation tools used in the research community.","worth_installing":"Yes, if you are actively participating in the TREC CAR track or building research systems that depend on its data formats. The package has no runtime dependencies, installs easily, and carries no licensing restrictions. However, the aging maintenance status (last release 2022-02-01) means you should verify compatibility with your Python version and check whether the cbor library remains available before committing to a dependency."},"id":"trec-car-tools","links":{"html":"https://skillfed.io/packages/trec-car-tools","md":"https://skillfed.io/packages/trec-car-tools.md","pypi":"https://pypi.org/project/trec-car-tools/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2022-02-01","license_spdx":null,"license_treatment":"permissive","name":"trec-car-tools","python_support":"unspecified","summary":"Support tools for TREC CAR participants. Also see trec-car.cs.unh.edu"},"popularity":{"monthly_downloads":217808,"position":9351,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.6"}