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10
examples/tensorflow/text-classification/README.md
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@ -30,11 +30,11 @@ can work with this! You can even do regression, such as predicting the score on
given the text of their review.
The preferred input format is either a CSV or newline-delimited JSON file that contains a `sentence1` and
`label` field, and optionally a `sentence2` field, if your task involves comparing two texts (for example, if your classifier
is deciding whether two sentences are paraphrases of each other, or were written by the same author). If
you do not have a `sentence1` field, the script will assume the non-label fields are the input text, which
may not always be what you want, especially if you have more than two fields! For example, here is a snippet
of a valid input JSON file, though note that your texts can be much longer than these, and are not constrained
`label` field. If your task involves comparing two texts (for example, if your classifier
is deciding whether two sentences are paraphrases of each other, or were written by the same author) then you should also include a `sentence2` field in each example. If you do not have a `sentence1` field then the script will assume the non-label fields are the input text, which
may not always be what you want, especially if you have more than two fields!
Here is a snippet of a valid input JSON file, though note that your texts can be much longer than these, and are not constrained
(despite the field name) to being single grammatical sentences:
```
{"sentence1": "COVID-19 vaccine updates: How is the rollout proceeding?", "label": "news"}