Datasets:

slone
/

myv-rus-2022-quality-annotated

@@ -80,7 +80,7 @@ There are three additional fields, new to this version of the dataset:
 - `fluency_score`: a score of fluency of the Erzya sentence. Possible values are `0` (serious problems with fluency or grammaticality, or a wrong language), `0.5` (the sentence is acceptable but does not feel natural), and `1` (fluent).
 - `is_good`: a flag that the translation pair is good; equals `1` if both scores above are `1`, and `0`, otherwise.
-The splits of the dataset contain 1500 sentence pairs each.
 ## Dataset Creation
@@ -88,84 +88,28 @@ The splits of the dataset contain 1500 sentence pairs each.
 <!-- Motivation for the creation of this dataset. -->
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 ### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
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-#### Who are the source data producers?
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-### Annotations [optional]
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-#### Annotation process
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-#### Who are the annotators?
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-#### Personal and Sensitive Information
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 ## Bias, Risks, and Limitations
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-### Recommendations
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
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 ## Dataset Card Contact
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 - `fluency_score`: a score of fluency of the Erzya sentence. Possible values are `0` (serious problems with fluency or grammaticality, or a wrong language), `0.5` (the sentence is acceptable but does not feel natural), and `1` (fluent).
 - `is_good`: a flag that the translation pair is good; equals `1` if both scores above are `1`, and `0`, otherwise.
+The splits of the dataset contain 1500 sentence pairs each. In each, about 60% of the data have "good" labels for both meaning and fluency.
 ## Dataset Creation
 <!-- Motivation for the creation of this dataset. -->
+There were two main motivations for creating this dataset:
+1. Provide cleaner development and test sets for evaluating machine translation between Erzya and Russian.
+2. Provide a set of annotations that could be used to validate automatic metrics of translation into Erzya or of parallel Russian-Erzya data quality.
 ### Source Data
+Various parallel texts in Russian and Erzya, pre-aligned or automatically aligned by sentence.
+For more details, see the parent dataset [slone/myv_ru_2022](https://huggingface.co/datasets/slone/myv_ru_2022).
+### Annotations
+The labels in the dataset have been provided by a single annotator, a native speaker of Russian and a fluent Erzya speaker.
 ## Bias, Risks, and Limitations
+The sentences in the dataset may inherit all the peculiarities of their corresponding sources.
+In particular, a large proportion of sentences from the "constitution" and "wiki" sources contain overly literal translations from Russian
+(which is reflected in their fluency scores).
+Some of the sentences are misaligned (due to automatic sentence splitting and alignment), which is normally reflected in their meaning scores.
+The accuracy and fluency labels were provided by a single annotator without additional validation, and may contain occasional errors.
 ## Dataset Card Contact
+@cointegrated