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2 changes: 1 addition & 1 deletion document_classifier_with_LLMs_as_labelers.ipynb
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Expand Up @@ -7146,7 +7146,7 @@
"source": [
"## Getting the Taxonomy\n",
"\n",
"Now, we have an unlabeled dataset in the `records` list. We want to train a classifier that take a titles and an abstract of an article and predicts its topic according to a given taxonomy.\n",
"Now, we have an unlabeled dataset in the `records` list. We want to train a classifier that takes titles and an abstract of an article and predicts its topic according to a given taxonomy.\n",
"\n",
"We will use the [IPTC NewsCodes](https://iptc.org/standards/newscodes/) taxonomy which is used by the world's largest news agencies, such as Agence France-Presse, Associated Press, and Reuters.\n",
"\n",
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