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All.csv.gz

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Quality.csv.gz

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README.md

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----
-license: cc-by-sa-4.0
----
+---
+configs:
+  - config_name: all
+    data_files: "All.csv.gz"
+    default: true
+  - config_name: quality
+    data_files: "Quality.csv.gz"
+  - config_name: readability
+    data_files: "Readability.csv.gz"
+  - config_name: sentiment
+    data_files: "Sentiment.csv.gz"
+---
+
+# Tatoeba English Translation Dataset
+
+## Dataset Summary
+
+This dataset is derived from the [Tatoeba](https://tatoeba.org/en) database, focusing on English sentences and their translations. It includes assessments of English sentences using text quality, sentiment, and readability models. The dataset is designed for tasks related to multilingual text quality, readability, and sentiment analysis.
+
+## Supported Tasks and Leaderboards
+
+- Quality Assessment
+- Readability Prediction
+- Sentiment Analysis
+
+## Dataset Structure
+
+### Data Fields
+
+- `ID`: Unique identifier for the English sentence
+- `English`: The English sentence
+- `TranslationID`: Unique identifier for the translation
+- `Language`: ISO code of the translation language
+- `Translation`: The translated sentence
+- `Quality`: Text quality score of the English sentence
+- `Readability`: Readability score of the English sentence
+- `Sentiment`: Sentiment score of the English sentence
+
+### Data Splits
+
+The dataset is divided into the following CSV files:
+- `All.csv`: Focused on the English and translated text
+- `Quality.csv`: Focused on text quality scores
+- `Readability.csv`: Focused on readability scores
+- `Sentiment.csv`: Focused on sentiment scores
+
+Each file contains a maximum of 25 000 samples (2 500 from each of 10 bins).
+
+## Dataset Creation
+
+### Source Data
+
+The source data is the Tatoeba database, which contains user-contributed translations.
+
+### Annotations
+
+English sentences were assessed using:
+- [agentlans/deberta-v3-base-quality-v2](https://huggingface.co/agentlans/deberta-v3-base-quality-v2)
+- [agentlans/deberta-v3-base-readability-v2](https://huggingface.co/agentlans/deberta-v3-base-readability-v2)
+- [agentlans/deberta-v3-base-tweet-sentiment](https://huggingface.co/agentlans/deberta-v3-base-tweet-sentiment)
+
+### Personal and Sensitive Information
+
+The dataset may contain personal names and locations as part of the sentences.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset can be used to improve machine translation systems and text analysis tools, potentially bridging language barriers and enhancing cross-cultural communication.
+
+### Discussion of Biases
+
+The dataset may reflect biases present in the original Tatoeba database and in the assessment models used.
+
+### Other Known Limitations
+
+The quality, readability, and sentiment scores are model-generated and may not always accurately reflect human judgments.
+
+## Contributions
+
+- Thanks to the Tatoeba Project contributors for the original sentence pairs.
+- The rest of the analyses are mine.

Readability.csv.gz

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Sentiment.csv.gz

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