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README.md

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----
-dataset_info:
-  features:
-  - name: id
-    dtype: int32
-  - name: URL
-    dtype: string
-  - name: domain
-    dtype: string
-  - name: topic
-    dtype: string
-  - name: has_image
-    dtype: int32
-  - name: has_hyperlink
-    dtype: int32
-  - name: sentence
-    dtype: string
-  splits:
-  - name: dev
-    num_bytes: 518999
-    num_examples: 997
-  - name: devtest
-    num_bytes: 545538
-    num_examples: 1012
-  download_size: 364203
-  dataset_size: 1064537
-configs:
-- config_name: default
-  data_files:
-  - split: dev
-    path: data/dev-*
-  - split: devtest
-    path: data/devtest-*
----
+# English-Tamil parallel Corpus prepared by the National Languages Processing Center, University of Moratuwa. The data has been cleaned and then aligned. 
+#En-Ta Glossary Line Count : 22477 
+#En-Ta Corpus Line Count : 8950
+
+#Source: Data extracted from publicly available government resources such as annual reports, procurement reports, circulars and websites.
+
+#Processing: Each word/pdf file was converted to text files, and unicode errors were fixed using a custom tool. Then the Tamil and English files were manually sentence-aligned. All the spelling and grammatical errors were manually fixed.
+
+#If you use this dataset, kindly cite the following publication:
+Fernando, A., Ranathunga, S., & Dias, G. (2020). Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation. arXiv preprint arXiv:2011.02821.