Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
kikoarizeai
commited on
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Update README.md
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README.md
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@@ -65,11 +65,33 @@ Text is mainly written in english.
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### Data Instances
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### Data Fields
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### Data Splits
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### Data Instances
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#### default
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An example of `training` looks as follows:
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```json
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{
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'prediction_ts': 1650092416.0,
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'age': 44,
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'gender': 'female',
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'context': 'movies',
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'text': "An interesting premise, and Billy Drago is always good as a dangerous nut-bag (side note: I'd love to see Drago, Stephen McHattie and Lance Hendrikson in a flick together; talk about raging cheekbones!). The soundtrack wasn't terrible, either.<br /><br />But the acting--even that of such professionals as Drago and Debbie Rochon--was terrible, the directing worse (perhaps contributory to the former), the dialog chimp-like, and the camera work, barely tolerable. Still, it was the SETS that got a big 10 on my oy-vey scale. I don't know where this was filmed, but were I to hazard a guess, it would be either an open-air museum, or one of those re-enactment villages, where everything is just a bit too well-kept to do more than suggest the real Old West. Okay, so it was shot on a college kid's budget. That said, I could have forgiven one or two of the aforementioned faults. But taken all together, and being generous, I could not see giving it more than three stars.",
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'label': 0
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}
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```
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### Data Fields
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#### default
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An example of `training` looks as follows:
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- `prediction_ts`:
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- `age`:
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- `gender`:
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- `context`:
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- `text`:
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- `label`:
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### Data Splits
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