Tir_al_2021-09_to_2021-12.zip

: 2021 was a significant year for large-scale IR benchmarks, such as the TREC 2021 Deep Learning Track, which released massive passage and document datasets.

: Check for a README.md or metadata.xml file within the zip to confirm the specific geographic region or dataset version. Loading : For GIS : Open the .shp file in QGIS or ArcMap . Tir_Al_2021-09_to_2021-12.zip

Could you clarify the where you found this file (e.g., a specific government portal, Kaggle, or a research site) so I can provide more tailored instructions? TREC 2021 Deep Learning Track Guidelines | msmarco : 2021 was a significant year for large-scale

: If you are using these for machine learning, you would typically use the ir_datasets Python API or CLI to load the data for document ranking or answer extraction tasks. Guide for Using the Data Could you clarify the where you found this file (e

: These files contain selected geographic and cartographic information (roads, boundaries, water features) from the Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.