lhoestq HF staff commited on
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add dataset_info in dataset metadata

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  1. README.md +163 -0
README.md CHANGED
@@ -20,6 +20,169 @@ task_categories:
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  - translation
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  task_ids: []
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  paperswithcode_id: null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task3
 
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  - translation
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  task_ids: []
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  paperswithcode_id: null
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+ dataset_info:
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+ features:
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+ - name: document_id
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+ dtype: string
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+ - name: source_segments
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+ sequence: string
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+ - name: source_tokenized
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+ sequence: string
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+ - name: mt_segments
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+ sequence: string
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+ - name: mt_tokenized
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+ sequence: string
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+ - name: annotations
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+ sequence:
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+ - name: segment_id
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+ sequence: int32
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+ - name: annotation_start
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+ sequence: int32
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+ - name: annotation_length
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+ sequence: int32
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+ - name: severity
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+ dtype:
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+ class_label:
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+ names:
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+ 0: minor
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+ 1: major
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+ 2: critical
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+ - name: severity_weight
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+ dtype: float32
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+ - name: category
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Addition
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+ 1: Agreement
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+ 2: Ambiguous Translation
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+ 3: Capitalization
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+ 4: Character Encoding
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+ 5: Company Terminology
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+ 6: Date/Time
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+ 7: Diacritics
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+ 8: Duplication
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+ 9: False Friend
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+ 10: Grammatical Register
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+ 11: Hyphenation
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+ 12: Inconsistency
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+ 13: Lexical Register
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+ 14: Lexical Selection
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+ 15: Named Entity
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+ 16: Number
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+ 17: Omitted Auxiliary Verb
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+ 18: Omitted Conjunction
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+ 19: Omitted Determiner
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+ 20: Omitted Preposition
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+ 21: Omitted Pronoun
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+ 22: Orthography
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+ 23: Other POS Omitted
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+ 24: Over-translation
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+ 25: Overly Literal
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+ 26: POS
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+ 27: Punctuation
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+ 28: Shouldn't Have Been Translated
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+ 29: Shouldn't have been translated
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+ 30: Spelling
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+ 31: Tense/Mood/Aspect
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+ 32: Under-translation
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+ 33: Unidiomatic
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+ 34: Unintelligible
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+ 35: Unit Conversion
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+ 36: Untranslated
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+ 37: Whitespace
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+ 38: Word Order
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+ 39: Wrong Auxiliary Verb
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+ 40: Wrong Conjunction
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+ 41: Wrong Determiner
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+ 42: Wrong Language Variety
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+ 43: Wrong Preposition
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+ 44: Wrong Pronoun
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+ - name: token_annotations
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+ sequence:
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+ - name: segment_id
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+ sequence: int32
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+ - name: first_token
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+ sequence: int32
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+ - name: last_token
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+ sequence: int32
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+ - name: token_after_gap
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+ sequence: int32
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+ - name: severity
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+ dtype:
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+ class_label:
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+ names:
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+ 0: minor
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+ 1: major
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+ 2: critical
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+ - name: category
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+ dtype:
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+ class_label:
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+ names:
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+ 0: Addition
123
+ 1: Agreement
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+ 2: Ambiguous Translation
125
+ 3: Capitalization
126
+ 4: Character Encoding
127
+ 5: Company Terminology
128
+ 6: Date/Time
129
+ 7: Diacritics
130
+ 8: Duplication
131
+ 9: False Friend
132
+ 10: Grammatical Register
133
+ 11: Hyphenation
134
+ 12: Inconsistency
135
+ 13: Lexical Register
136
+ 14: Lexical Selection
137
+ 15: Named Entity
138
+ 16: Number
139
+ 17: Omitted Auxiliary Verb
140
+ 18: Omitted Conjunction
141
+ 19: Omitted Determiner
142
+ 20: Omitted Preposition
143
+ 21: Omitted Pronoun
144
+ 22: Orthography
145
+ 23: Other POS Omitted
146
+ 24: Over-translation
147
+ 25: Overly Literal
148
+ 26: POS
149
+ 27: Punctuation
150
+ 28: Shouldn't Have Been Translated
151
+ 29: Shouldn't have been translated
152
+ 30: Spelling
153
+ 31: Tense/Mood/Aspect
154
+ 32: Under-translation
155
+ 33: Unidiomatic
156
+ 34: Unintelligible
157
+ 35: Unit Conversion
158
+ 36: Untranslated
159
+ 37: Whitespace
160
+ 38: Word Order
161
+ 39: Wrong Auxiliary Verb
162
+ 40: Wrong Conjunction
163
+ 41: Wrong Determiner
164
+ 42: Wrong Language Variety
165
+ 43: Wrong Preposition
166
+ 44: Wrong Pronoun
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+ - name: token_index
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+ sequence:
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+ sequence:
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+ sequence: int32
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+ - name: total_words
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+ dtype: int32
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+ config_name: plain_text
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+ splits:
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+ - name: test
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+ num_bytes: 745260
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+ num_examples: 180
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+ - name: train
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+ num_bytes: 10762355
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+ num_examples: 1448
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+ - name: validation
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+ num_bytes: 1646596
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+ num_examples: 200
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+ download_size: 3534634
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+ dataset_size: 13154211
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  ---
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  # Dataset Card for WMT20 - MultiLingual Quality Estimation (MLQE) Task3