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  1. .gitattributes +0 -27
  2. README.md +0 -1831
  3. af/tapaco-train.parquet +3 -0
  4. all_languages/tapaco-train.parquet +3 -0
  5. ar/tapaco-train.parquet +3 -0
  6. az/tapaco-train.parquet +3 -0
  7. be/tapaco-train.parquet +3 -0
  8. ber/tapaco-train.parquet +3 -0
  9. bg/tapaco-train.parquet +3 -0
  10. bn/tapaco-train.parquet +3 -0
  11. br/tapaco-train.parquet +3 -0
  12. ca/tapaco-train.parquet +3 -0
  13. cbk/tapaco-train.parquet +3 -0
  14. cmn/tapaco-train.parquet +3 -0
  15. cs/tapaco-train.parquet +3 -0
  16. da/tapaco-train.parquet +3 -0
  17. dataset_infos.json +0 -0
  18. de/tapaco-train.parquet +3 -0
  19. el/tapaco-train.parquet +3 -0
  20. en/tapaco-train.parquet +3 -0
  21. eo/tapaco-train.parquet +3 -0
  22. es/tapaco-train.parquet +3 -0
  23. et/tapaco-train.parquet +3 -0
  24. eu/tapaco-train.parquet +3 -0
  25. fi/tapaco-train.parquet +3 -0
  26. fr/tapaco-train.parquet +3 -0
  27. gl/tapaco-train.parquet +3 -0
  28. gos/tapaco-train.parquet +3 -0
  29. he/tapaco-train.parquet +3 -0
  30. hi/tapaco-train.parquet +3 -0
  31. hr/tapaco-train.parquet +3 -0
  32. hu/tapaco-train.parquet +3 -0
  33. hy/tapaco-train.parquet +3 -0
  34. ia/tapaco-train.parquet +3 -0
  35. id/tapaco-train.parquet +3 -0
  36. ie/tapaco-train.parquet +3 -0
  37. io/tapaco-train.parquet +3 -0
  38. is/tapaco-train.parquet +3 -0
  39. it/tapaco-train.parquet +3 -0
  40. ja/tapaco-train.parquet +3 -0
  41. jbo/tapaco-train.parquet +3 -0
  42. kab/tapaco-train.parquet +3 -0
  43. ko/tapaco-train.parquet +3 -0
  44. kw/tapaco-train.parquet +3 -0
  45. la/tapaco-train.parquet +3 -0
  46. lfn/tapaco-train.parquet +3 -0
  47. lt/tapaco-train.parquet +3 -0
  48. mk/tapaco-train.parquet +3 -0
  49. mr/tapaco-train.parquet +3 -0
  50. nb/tapaco-train.parquet +3 -0
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README.md DELETED
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- ---
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- annotations_creators:
3
- - machine-generated
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- language_creators:
5
- - crowdsourced
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- language:
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- - af
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- - ar
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- - az
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- - be
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- - ber
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- - bg
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- - br
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- - cmn
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- - cs
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- - da
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- - de
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- - el
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- - en
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- - eo
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- - es
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- - et
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- - fi
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- - fr
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- - nds
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- - nl
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- - orv
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- - ota
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- - pes
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- - uk
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- - ur
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- - vi
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- - vo
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- - war
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- - wuu
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- - yue
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- license:
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- - cc-by-2.0
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- multilinguality:
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- - multilingual
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- size_categories:
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- - 100K<n<1M
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- - 10K<n<100K
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- - 1K<n<10K
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- - 1M<n<10M
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- - n<1K
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- source_datasets:
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- - extended|other-tatoeba
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- task_categories:
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- - text2text-generation
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- - translation
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- - text-classification
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- task_ids:
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- - semantic-similarity-classification
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- paperswithcode_id: tapaco
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- pretty_name: TaPaCo Corpus
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- configs:
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- - af
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- - all_languages
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1656
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1657
- dataset_size: 42766
1658
- ---
1659
-
1660
- # Dataset Card for TaPaCo Corpus
1661
-
1662
- ## Table of Contents
1663
- - [Dataset Description](#dataset-description)
1664
- - [Dataset Summary](#dataset-summary)
1665
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
1666
- - [Languages](#languages)
1667
- - [Dataset Structure](#dataset-structure)
1668
- - [Data Instances](#data-instances)
1669
- - [Data Fields](#data-fields)
1670
- - [Data Splits](#data-splits)
1671
- - [Dataset Creation](#dataset-creation)
1672
- - [Curation Rationale](#curation-rationale)
1673
- - [Source Data](#source-data)
1674
- - [Annotations](#annotations)
1675
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
1676
- - [Considerations for Using the Data](#considerations-for-using-the-data)
1677
- - [Social Impact of Dataset](#social-impact-of-dataset)
1678
- - [Discussion of Biases](#discussion-of-biases)
1679
- - [Other Known Limitations](#other-known-limitations)
1680
- - [Additional Information](#additional-information)
1681
- - [Dataset Curators](#dataset-curators)
1682
- - [Licensing Information](#licensing-information)
1683
- - [Citation Information](#citation-information)
1684
- - [Contributions](#contributions)
1685
-
1686
- ## Dataset Description
1687
-
1688
- - **Homepage:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://zenodo.org/record/3707949#.X9Dh0cYza3I)
1689
- - **Paper:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://www.aclweb.org/anthology/2020.lrec-1.848.pdf)
1690
- - **Point of Contact:** [Yves Scherrer](https://blogs.helsinki.fi/yvesscherrer/)
1691
-
1692
- ### Dataset Summary
1693
- A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database.
1694
- Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences
1695
- and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a
1696
- graph with Tatoeba sentences and equivalence links between sentences “meaning the same thing”. This graph is then
1697
- traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to
1698
- remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three
1699
- quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial,
1700
- or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million
1701
- sentences, with 200 – 250 000 sentences per language. It covers a range of languages for which, to our knowledge,
1702
- no other paraphrase dataset exists.
1703
-
1704
- ### Supported Tasks and Leaderboards
1705
- Paraphrase detection and generation have become popular tasks in NLP
1706
- and are increasingly integrated into a wide variety of common downstream tasks such as machine translation
1707
- , information retrieval, question answering, and semantic parsing. Most of the existing datasets
1708
- cover only a single language – in most cases English – or a small number of languages. Furthermore, some paraphrase
1709
- datasets focus on lexical and phrasal rather than sentential paraphrases, while others are created (semi
1710
- -)automatically using machine translation.
1711
-
1712
- The number of sentences per language ranges from 200 to 250 000, which makes the dataset
1713
- more suitable for fine-tuning and evaluation purposes than
1714
- for training. It is well-suited for multi-reference evaluation
1715
- of paraphrase generation models, as there is generally not a
1716
- single correct way of paraphrasing a given input sentence.
1717
-
1718
- ### Languages
1719
-
1720
- The dataset contains paraphrases in Afrikaans, Arabic, Azerbaijani, Belarusian, Berber languages, Bulgarian, Bengali
1721
- , Breton, Catalan; Valencian, Chavacano, Mandarin, Czech, Danish, German, Greek, Modern (1453-), English, Esperanto
1722
- , Spanish; Castilian, Estonian, Basque, Finnish, French, Galician, Gronings, Hebrew, Hindi, Croatian, Hungarian
1723
- , Armenian, Interlingua (International Auxiliary Language Association), Indonesian, Interlingue; Occidental, Ido
1724
- , Icelandic, Italian, Japanese, Lojban, Kabyle, Korean, Cornish, Latin, Lingua Franca Nova\t, Lithuanian, Macedonian
1725
- , Marathi, Bokmål, Norwegian; Norwegian Bokmål, Low German; Low Saxon; German, Low; Saxon, Low, Dutch; Flemish, ]Old
1726
- Russian, Turkish, Ottoman (1500-1928), Iranian Persian, Polish, Portuguese, Rundi, Romanian; Moldavian; Moldovan,
1727
- Russian, Slovenian, Serbian, Swedish, Turkmen, Tagalog, Klingon; tlhIngan-Hol, Toki Pona, Turkish, Tatar,
1728
- Uighur; Uyghur, Ukrainian, Urdu, Vietnamese, Volapük, Waray, Wu Chinese and Yue Chinese
1729
-
1730
- ## Dataset Structure
1731
-
1732
- ### Data Instances
1733
- Each data instance corresponds to a paraphrase, e.g.:
1734
- ```
1735
- {
1736
- 'paraphrase_set_id': '1483',
1737
- 'sentence_id': '5778896',
1738
- 'paraphrase': 'Ɣremt adlis-a.',
1739
- 'lists': ['7546'],
1740
- 'tags': [''],
1741
- 'language': 'ber'
1742
- }
1743
- ```
1744
-
1745
- ### Data Fields
1746
- Each dialogue instance has the following fields:
1747
- - `paraphrase_set_id`: a running number that groups together all sentences that are considered paraphrases of each
1748
- other
1749
- - `sentence_id`: OPUS sentence id
1750
- - `paraphrase`: Sentential paraphrase in a given language for a given paraphrase_set_id
1751
- - `lists`: Contributors can add sentences to list in order to specify the original source of the data
1752
- - `tags`: Indicates morphological or phonological properties of the sentence when available
1753
- - `language`: Language identifier, one of the 73 languages that belong to this dataset.
1754
-
1755
- ### Data Splits
1756
-
1757
- The dataset is having a single `train` split, contains a total of 1.9 million sentences, with 200 – 250 000
1758
- sentences per language
1759
-
1760
- ## Dataset Creation
1761
-
1762
- ### Curation Rationale
1763
-
1764
- [More Information Needed]
1765
-
1766
- ### Source Data
1767
-
1768
- #### Initial Data Collection and Normalization
1769
-
1770
- [More Information Needed]
1771
-
1772
- #### Who are the source language producers?
1773
-
1774
- [More Information Needed]
1775
-
1776
- ### Annotations
1777
-
1778
- #### Annotation process
1779
-
1780
- [More Information Needed]
1781
-
1782
- #### Who are the annotators?
1783
-
1784
- [More Information Needed]
1785
-
1786
- ### Personal and Sensitive Information
1787
-
1788
- [More Information Needed]
1789
-
1790
- ## Considerations for Using the Data
1791
-
1792
- ### Social Impact of Dataset
1793
-
1794
- [More Information Needed]
1795
-
1796
- ### Discussion of Biases
1797
-
1798
- [More Information Needed]
1799
-
1800
- ### Other Known Limitations
1801
-
1802
- [More Information Needed]
1803
-
1804
- ## Additional Information
1805
-
1806
- ### Dataset Curators
1807
-
1808
- [More Information Needed]
1809
-
1810
- ### Licensing Information
1811
-
1812
- Creative Commons Attribution 2.0 Generic
1813
-
1814
- ### Citation Information
1815
-
1816
- ```
1817
- @dataset{scherrer_yves_2020_3707949,
1818
- author = {Scherrer, Yves},
1819
- title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}},
1820
- month = mar,
1821
- year = 2020,
1822
- publisher = {Zenodo},
1823
- version = {1.0},
1824
- doi = {10.5281/zenodo.3707949},
1825
- url = {https://doi.org/10.5281/zenodo.3707949}
1826
- }
1827
- ```
1828
-
1829
- ### Contributions
1830
-
1831
- Thanks to [@pacman100](https://github.com/pacman100) for adding this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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