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- ---
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2982
- ---
2983
-
2984
- # Dataset Card for europarl-bilingual
2985
-
2986
- ## Table of Contents
2987
- - [Dataset Description](#dataset-description)
2988
- - [Dataset Summary](#dataset-summary)
2989
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
2990
- - [Languages](#languages)
2991
- - [Dataset Structure](#dataset-structure)
2992
- - [Data Instances](#data-instances)
2993
- - [Data Fields](#data-fields)
2994
- - [Data Splits](#data-splits)
2995
- - [Dataset Creation](#dataset-creation)
2996
- - [Curation Rationale](#curation-rationale)
2997
- - [Source Data](#source-data)
2998
- - [Annotations](#annotations)
2999
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
3000
- - [Considerations for Using the Data](#considerations-for-using-the-data)
3001
- - [Social Impact of Dataset](#social-impact-of-dataset)
3002
- - [Discussion of Biases](#discussion-of-biases)
3003
- - [Other Known Limitations](#other-known-limitations)
3004
- - [Additional Information](#additional-information)
3005
- - [Dataset Curators](#dataset-curators)
3006
- - [Licensing Information](#licensing-information)
3007
- - [Citation Information](#citation-information)
3008
- - [Contributions](#contributions)
3009
-
3010
- ## Dataset Description
3011
-
3012
- - **Homepage:** [Statmt](http://www.statmt.org/europarl/)
3013
- - **Repository:** [OPUS Europarl](https://opus.nlpl.eu/Europarl.php)
3014
- - **Paper:** [Aclweb](https://www.aclweb.org/anthology/L12-1246/)
3015
- - **Leaderboard:** [Needs More Information]
3016
- - **Point of Contact:** [Needs More Information]
3017
-
3018
- ### Dataset Summary
3019
-
3020
- A parallel corpus extracted from the European Parliament web site by Philipp Koehn (University of Edinburgh). The main intended use is to aid statistical machine translation research.
3021
-
3022
- To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.
3023
- You can find the valid pairs in Homepage section of Dataset Description: https://opus.nlpl.eu/Europarl.php
3024
- E.g.
3025
-
3026
- `dataset = load_dataset("europarl_bilingual", lang1="fi", lang2="fr")`
3027
-
3028
-
3029
- ### Supported Tasks and Leaderboards
3030
-
3031
- Tasks: Machine Translation, Cross Lingual Word Embeddings (CWLE) Alignment
3032
-
3033
- ### Languages
3034
-
3035
- - 21 languages, 211 bitexts
3036
- - total number of files: 207,775
3037
- - total number of tokens: 759.05M
3038
- - total number of sentence fragments: 30.32M
3039
-
3040
- Every pair of the following languages is available:
3041
- - bg
3042
- - cs
3043
- - da
3044
- - de
3045
- - el
3046
- - en
3047
- - es
3048
- - et
3049
- - fi
3050
- - fr
3051
- - hu
3052
- - it
3053
- - lt
3054
- - lv
3055
- - nl
3056
- - pl
3057
- - pt
3058
- - ro
3059
- - sk
3060
- - sl
3061
- - sv
3062
-
3063
-
3064
- ## Dataset Structure
3065
-
3066
- ### Data Instances
3067
-
3068
- Here is an example from the en-fr pair:
3069
- ```
3070
- {
3071
- 'translation': {
3072
- 'en': 'Resumption of the session',
3073
- 'fr': 'Reprise de la session'
3074
- }
3075
- }
3076
- ```
3077
-
3078
- ### Data Fields
3079
-
3080
- - `translation`: a dictionary containing two strings paired with a key indicating the corresponding language.
3081
-
3082
- ### Data Splits
3083
-
3084
- - `train`: only train split is provided. Authors did not provide a separation of examples in `train`, `dev` and `test`.
3085
-
3086
- ## Dataset Creation
3087
-
3088
- ### Curation Rationale
3089
-
3090
- [Needs More Information]
3091
-
3092
- ### Source Data
3093
-
3094
- #### Initial Data Collection and Normalization
3095
-
3096
- [Needs More Information]
3097
-
3098
- #### Who are the source language producers?
3099
-
3100
- [Needs More Information]
3101
-
3102
- ### Annotations
3103
-
3104
- #### Annotation process
3105
-
3106
- [Needs More Information]
3107
-
3108
- #### Who are the annotators?
3109
-
3110
- [Needs More Information]
3111
-
3112
- ### Personal and Sensitive Information
3113
-
3114
- [Needs More Information]
3115
-
3116
- ## Considerations for Using the Data
3117
-
3118
- ### Social Impact of Dataset
3119
-
3120
- [Needs More Information]
3121
-
3122
- ### Discussion of Biases
3123
-
3124
- [Needs More Information]
3125
-
3126
- ### Other Known Limitations
3127
-
3128
- [Needs More Information]
3129
-
3130
- ## Additional Information
3131
-
3132
- ### Dataset Curators
3133
-
3134
- [Needs More Information]
3135
-
3136
- ### Licensing Information
3137
-
3138
- The data set comes with the same license
3139
- as the original sources.
3140
- Please, check the information about the source
3141
- that is given on
3142
- http://opus.nlpl.eu/Europarl-v8.php
3143
-
3144
- ### Citation Information
3145
-
3146
- ```
3147
- @InProceedings{TIEDEMANN12.463,
3148
- author = {J�rg Tiedemann},
3149
- title = {Parallel Data, Tools and Interfaces in OPUS},
3150
- booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
3151
- year = {2012},
3152
- month = {may},
3153
- date = {23-25},
3154
- address = {Istanbul, Turkey},
3155
- editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
3156
- publisher = {European Language Resources Association (ELRA)},
3157
- isbn = {978-2-9517408-7-7},
3158
- language = {english}
3159
- }
3160
- ```
3161
-
3162
- ### Contributions
3163
-
3164
- Thanks to [@lucadiliello](https://github.com/lucadiliello) for adding this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bg-cs/europarl_bilingual-train.parquet ADDED
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dataset_infos.json DELETED
The diff for this file is too large to render. See raw diff
 
europarl_bilingual.py DELETED
@@ -1,203 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
-
16
-
17
- import os
18
- import xml.etree.ElementTree as ET
19
-
20
- import datasets
21
-
22
-
23
- # Find for instance the citation on arxiv or on the dataset repo/website
24
- _CITATION = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf"
25
-
26
- # You can copy an official description
27
- _DESCRIPTION = """\
28
- A parallel corpus extracted from the European Parliament web site by Philipp Koehn (University of Edinburgh). The main intended use is to aid statistical machine translation research.
29
- """
30
-
31
- # Add a link to an official homepage for the dataset here
32
- _HOMEPAGE = "https://opus.nlpl.eu/Europarl.php"
33
-
34
- # Add the licence for the dataset here if you can find it
35
- _LICENSE = """\
36
- The data set comes with the same license
37
- as the original sources.
38
- Please, check the information about the source
39
- that is given on
40
- http://opus.nlpl.eu/Europarl-v8.php
41
- """
42
-
43
- # The HuggingFace dataset library don't host the datasets but only point to the original files
44
- # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
45
- LANGUAGES = [
46
- "bg",
47
- "cs",
48
- "da",
49
- "de",
50
- "el",
51
- "en",
52
- "es",
53
- "et",
54
- "fi",
55
- "fr",
56
- "hu",
57
- "it",
58
- "lt",
59
- "lv",
60
- "nl",
61
- "pl",
62
- "pt",
63
- "ro",
64
- "sk",
65
- "sl",
66
- "sv",
67
- ]
68
-
69
- ALL_PAIRS = []
70
- for i in range(len(LANGUAGES)):
71
- for j in range(i + 1, len(LANGUAGES)):
72
- ALL_PAIRS.append((LANGUAGES[i], LANGUAGES[j]))
73
-
74
- _VERSION = "8.0.0"
75
- _BASE_URL_DATASET = "https://opus.nlpl.eu/download.php?f=Europarl/v8/raw/{}.zip"
76
- _BASE_URL_RELATIONS = "https://opus.nlpl.eu/download.php?f=Europarl/v8/xml/{}-{}.xml.gz"
77
-
78
-
79
- class EuroparlBilingualConfig(datasets.BuilderConfig):
80
- """Slightly custom config to require source and target languages."""
81
-
82
- def __init__(self, *args, lang1=None, lang2=None, **kwargs):
83
- super().__init__(
84
- *args,
85
- name=f"{lang1}-{lang2}",
86
- **kwargs,
87
- )
88
- self.lang1 = lang1
89
- self.lang2 = lang2
90
-
91
- def _lang_pair(self):
92
- return (self.lang1, self.lang2)
93
-
94
- def _is_valid(self):
95
- return self._lang_pair() in ALL_PAIRS
96
-
97
-
98
- class EuroparlBilingual(datasets.GeneratorBasedBuilder):
99
- """Europarl contains aligned sentences in multiple west language pairs."""
100
-
101
- VERSION = datasets.Version(_VERSION)
102
-
103
- BUILDER_CONFIG_CLASS = EuroparlBilingualConfig
104
- BUILDER_CONFIGS = [
105
- EuroparlBilingualConfig(lang1=lang1, lang2=lang2, version=datasets.Version(_VERSION))
106
- for lang1, lang2 in ALL_PAIRS[:5]
107
- ]
108
-
109
- def _info(self):
110
- """This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset."""
111
- features = datasets.Features(
112
- {
113
- "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
114
- }
115
- )
116
-
117
- return datasets.DatasetInfo(
118
- description=_DESCRIPTION,
119
- features=features,
120
- supervised_keys=None,
121
- homepage=_HOMEPAGE,
122
- license=_LICENSE,
123
- citation=_CITATION,
124
- )
125
-
126
- def _split_generators(self, dl_manager):
127
- """Returns SplitGenerators."""
128
-
129
- if not self.config._is_valid():
130
- raise ValueError(f"{self.config._lang_pair()} is not a supported language pair. Choose among: {ALL_PAIRS}")
131
-
132
- # download data files
133
- path_datafile_1 = dl_manager.download_and_extract(_BASE_URL_DATASET.format(self.config.lang1))
134
- path_datafile_2 = dl_manager.download_and_extract(_BASE_URL_DATASET.format(self.config.lang2))
135
-
136
- # download relations file
137
- path_relation_file = dl_manager.download_and_extract(
138
- _BASE_URL_RELATIONS.format(self.config.lang1, self.config.lang2)
139
- )
140
-
141
- return [
142
- datasets.SplitGenerator(
143
- name=datasets.Split.TRAIN,
144
- # These kwargs will be passed to _generate_examples
145
- gen_kwargs={
146
- "path_datafiles": (path_datafile_1, path_datafile_2),
147
- "path_relation_file": path_relation_file,
148
- },
149
- )
150
- ]
151
-
152
- @staticmethod
153
- def _parse_xml_datafile(filepath):
154
- """
155
- Parse and return a Dict[sentence_id, text] representing data with the following structure:
156
- """
157
- document = ET.parse(filepath).getroot()
158
- return {tag.attrib["id"]: tag.text for tag in document.iter("s")}
159
-
160
- def _generate_examples(self, path_datafiles, path_relation_file):
161
- """Yields examples.
162
- In parenthesis the useful attributes
163
-
164
- Lang files XML
165
- - document
166
- - CHAPTER ('ID')
167
- - P ('id')
168
- - s ('id')
169
-
170
- Relation file XML
171
- - cesAlign
172
- - linkGrp ('fromDoc', 'toDoc')
173
- - link ('xtargets': '1;1')
174
- """
175
-
176
- # my counter
177
- _id = 0
178
- relations_root = ET.parse(path_relation_file).getroot()
179
-
180
- for linkGroup in relations_root:
181
- # retrieve files and remove .gz extension because 'datasets' library already decompress them
182
- from_doc_dict = EuroparlBilingual._parse_xml_datafile(
183
- os.path.splitext(os.path.join(path_datafiles[0], "Europarl", "raw", linkGroup.attrib["fromDoc"]))[0]
184
- )
185
-
186
- to_doc_dict = EuroparlBilingual._parse_xml_datafile(
187
- os.path.splitext(os.path.join(path_datafiles[1], "Europarl", "raw", linkGroup.attrib["toDoc"]))[0]
188
- )
189
-
190
- for link in linkGroup:
191
- from_sentence_ids, to_sentence_ids = link.attrib["xtargets"].split(";")
192
- from_sentence_ids = [i for i in from_sentence_ids.split(" ") if i]
193
- to_sentence_ids = [i for i in to_sentence_ids.split(" ") if i]
194
-
195
- if not len(from_sentence_ids) or not len(to_sentence_ids):
196
- continue
197
-
198
- # in rare cases, there is not entry for some key pairs
199
- sentence_lang1 = " ".join(from_doc_dict[i] for i in from_sentence_ids if i in from_doc_dict)
200
- sentence_lang2 = " ".join(to_doc_dict[i] for i in to_sentence_ids if i in to_doc_dict)
201
-
202
- yield _id, {"translation": {self.config.lang1: sentence_lang1, self.config.lang2: sentence_lang2}}
203
- _id += 1