Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Norwegian
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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@@ -98,10 +98,19 @@ The data is intended to be used for training and testing models for Norwegian do
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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The data does not contain information considered personal or sensitive.
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Each instance in the data has the following three fields:
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- 'id': a uniqe document identifier
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- 'review': the actual review text
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- 'sentiment': a numerical class label indicating polarity, which can have one of three values:
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- 0 = negative
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- 1 = positive
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- 2 = fair (only available in the ternary version)
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In terms of the mapping from the six-point numerical ratings in the underlying [NoReC](https://huggingface.co/datasets/ltg/norec) dataset, 'negative' (0) here corresponds to ratings of 1–3, 'positive' (0) corresponds to ratings of 5–6, while 'fair' corresponds to ratings of 4. In the binary version of NoReC_document, reviews with a rating of 4 are excluded.
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The data comes with pre-defined train/dev/test splits, inherited from NoReC.
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## Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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The data does not contain information considered personal or sensitive.
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### Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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