: 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.
: 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.
The identifier likely refers to a compressed data archive containing TIGER/Line geographic data or Information Retrieval (IR) datasets released between September and December 2021 . Tir_Al_2021-09_to_2021-12.zip
: 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 .
The "ir" in the name may also relate to ir_datasets , a common Python library used to download and provide a uniform interface to various IR datasets for research. : 2021 was a significant year for large-scale
: Once extracted, the .zip will contain multiple files including .shp , .shx , and .dbf which must be kept together to function correctly. 2. Information Retrieval (IR) Datasets
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 : Check for a README
: Use a tool like 7-Zip or WinRAR to extract the contents. Avoid moving individual files out of their subfolders, as spatial and IR data often rely on strict directory structures.
