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README.md
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## Training data
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[WinoGrande-XL](https://huggingface.co/datasets/winogrande) reformatted the following way:
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1. Each sentence was split on `_` placeholder symbol.
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2. Each option was concatenated with the second part of the split, thus transforming each example into two text segment pairs.
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3. Text segment pairs corresponding to correct and incorrect options were marked with `True` and `False` labels accordingly.
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4. Text segment pairs were shuffled thereafter.
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### BibTeX entry and citation info
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## Training data
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[WinoGrande-XL](https://huggingface.co/datasets/winogrande) reformatted the following way:
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1. Each sentence was split on "`_`" placeholder symbol.
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2. Each option was concatenated with the second part of the split, thus transforming each example into two text segment pairs.
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3. Text segment pairs corresponding to correct and incorrect options were marked with `True` and `False` labels accordingly.
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4. Text segment pairs were shuffled thereafter.
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For example,
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```json
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{
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"answer": "2",
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"option1": "plant",
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"option2": "urn",
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"sentence": "The plant took up too much room in the urn, because the _ was small."
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}
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```
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becomes
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```json
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{
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"sentence1": "The plant took up too much room in the urn, because the ",
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"sentence2": "plant was small.",
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"label": false
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}
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```
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and
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```json
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{
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"sentence1": "The plant took up too much room in the urn, because the ",
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"sentence2": "urn was small.",
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"label": true
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}
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```
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These sentence pairs are then treated as independent examples.
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### BibTeX entry and citation info
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