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TREC corpus
A corpus from Text REtrieval Conference (TREC), featuring 528k documents from the following sources:
- Foreign Broadcast Information Service (FBIS)
- Federal Register (FR94)
- Financial Times (FT)
- LA Times (LATIMES)
Using the dataset
Thanks to the ir_datasets package, you can load and use it in very few steps.
- Download the dataset.
- Extract the zip file and place the four extracted folders (
FBIS,FR94,FT, andLATIMES) into~/.ir_datasets/disks45/corpus/. - Load and iterate it with
ir_datasets:
from ir_datasets import load # pip install ir_datasets
print('Press Enter to load the next document.\n')
for doc in load('disks45/nocr').docs_iter():
input()
print(f'ID: {doc.doc_id}\n')
print(f'Title: {doc.title}\n')
print(f'Body: {doc.body[:500]}...\n')
print('=' * 50)
TREC-7 topics
You can find 20 selected topics from TREC-7 here. They may be used (together with the dataset) on benchmarking information retrieval applications.
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