Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
10K - 100K
Tags:
movie_reviews
License:
BayanDuygu
commited on
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Update README.md
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README.md
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@@ -24,20 +24,18 @@ The score field takes values between 1 and 9.9. Values are like 8, 8.1, 8.2 .. 8
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| star rating | count |
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The star rating looks quite balanced. This dataset offers the challenge of understanding the sentiment in a refined way, dissecting the positive sentiment into "very positive" or "okayish positive".
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### Dataset Instances
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An instance of this dataset looks as follows:
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| star rating | count |
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| 1-2 | 2323 |
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| 2-3 | 874 |
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| 3-4 | 1252 |
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| 4-5 | 1881 |
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| 5-6 | 3484 |
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| 6-7 | 6636 |
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| 7-8 | 11.430 |
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| 8-9 |10.412 |
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| 9-9.9 | 4.622 |
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| total | 42.914 |
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The score values look scewed towards > 7, most of the movies rated between 7-9. If we sum up all the movies that scored under 7, it barely catches up with 7-9 scor interval. Certainly an interesting and challenging distribution!
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### Dataset Instances
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An instance of this dataset looks as follows:
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