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35 lines
1.0 KiB
Markdown
35 lines
1.0 KiB
Markdown
## Examples of textcat training data
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spacy JSON training files were generated from JSONL with:
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```
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python textcatjsonl_to_trainjson.py -m en file.jsonl .
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```
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`cooking.json` is an example with mutually-exclusive classes with two labels:
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* `baking`
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* `not_baking`
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`jigsaw-toxic-comment.json` is an example with multiple labels per instance:
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* `insult`
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* `obscene`
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* `severe_toxic`
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* `toxic`
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### Data Sources
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* `cooking.jsonl`: https://cooking.stackexchange.com. The meta IDs link to the
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original question as `https://cooking.stackexchange.com/questions/ID`, e.g.,
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`https://cooking.stackexchange.com/questions/2` for the first instance.
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* `jigsaw-toxic-comment.jsonl`: [Jigsaw Toxic Comments Classification
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Challenge](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)
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### Data Licenses
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* `cooking.jsonl`: CC BY-SA 4.0 ([`CC_BY-SA-4.0.txt`](CC_BY-SA-4.0.txt))
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* `jigsaw-toxic-comment.jsonl`:
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* text: CC BY-SA 3.0 ([`CC_BY-SA-3.0.txt`](CC_BY-SA-3.0.txt))
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* annotation: CC0 ([`CC0.txt`](CC0.txt))
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