Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
dialogue-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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Update README.md
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README.md
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@@ -62,6 +62,8 @@ An example of 'train' looks as follows:
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- `Valid`: 6851 turns
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- `Test`: 7101 turns
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## Annotations
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Following the guidelines for ethical crowdsourcing outlined in [Sheehan. 2018](https://www.tandfonline.com/doi/abs/10.1080/03637751.2017.1342043),
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we hire Amazon Mechanical Turk (AMT) workers to edit utterances in WoW dialogues that were found to exhibit unfaithful responses. To ensure clarity in the task definition, we provided detailed examples for our terminology. Moreover, we performed several staging rounds over the course of several months.
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- `Valid`: 6851 turns
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- `Test`: 7101 turns
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`Valid` includes both the `seen` and the `unseen` data splits from WoW. The same applies to `Test`. We also include those splits for FaithDial valid and test data.
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## Annotations
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Following the guidelines for ethical crowdsourcing outlined in [Sheehan. 2018](https://www.tandfonline.com/doi/abs/10.1080/03637751.2017.1342043),
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we hire Amazon Mechanical Turk (AMT) workers to edit utterances in WoW dialogues that were found to exhibit unfaithful responses. To ensure clarity in the task definition, we provided detailed examples for our terminology. Moreover, we performed several staging rounds over the course of several months.
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