Update parquet files

.gitattributes

@@ -14,3 +14,4 @@
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+zh-en/dataset-train.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,7 +0,0 @@
-A translation dataset between english and traditional chinese
-  
-train : 101497 rows  
-val : 1000 rows    
-test : 1000 rows
-   
-   

dataset.py

@@ -1,94 +0,0 @@
-# -*- coding: utf-8 -*-
-"""dataset.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1sNXmgV-J4w6JSdtXK-0TckTP5SFkGPtz
-
-###Create a file.py
-"""
-
-import datasets
-import csv
-import pandas as pd
-
-_URLS = {
-  "zh-en": {
-    "TRAIN_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1z-reeSB_pAcZEJicRpBJWzrhuwdtJ-d1&export=download",
-    "VALIDATION_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1f1izEby8pfXZWG7htvcky_FL2iTMnoD5&export=download",
-    "TEST_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1VGM96MZvMuAPJoFzBeSpyC16IDSiu0vC&export=download"
-  }
-}
-
-class NewDataset(datasets.GeneratorBasedBuilder):
-
-  VERSION = datasets.Version("1.0.0")
-
-  BUILDER_CONFIGS = [
-    datasets.BuilderConfig(
-      name = "zh-en",
-      version = VERSION,
-      description = "The translation dataset between Traditional Chinese and English"
-    )
-  ]
-
-  def _info(self):
-
-    if self.config.name == "zh-en":  # This is the name of the configuration selected in BUILDER_CONFIGS above
-      features = datasets.Features(
-        { "translation": datasets.features.Translation( languages=["en", "zh"] ) }
-      )
-
-    return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-#      description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-      features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-      supervised_keys=None,
-            # Homepage of the dataset for documentation
-#      homepage=_HOMEPAGE,
-            # License for the dataset if available
-#      license=_LICENSE,
-            # Citation for the dataset
-#      citation=_CITATION,
-    )
-
-  def _split_generators(self, dl_manager):
-    """ Returns SplitGenerators"""
-
-    my_urls = _URLS[self.config.name]
-
-    train_path = dl_manager.download_and_extract(my_urls["TRAIN_DOWNLOAD_URL"])
-    validation_path = dl_manager.download_and_extract(my_urls["VALIDATION_DOWNLOAD_URL"])
-    test_path = dl_manager.download_and_extract(my_urls["TEST_DOWNLOAD_URL"])
-
-    return [
-      datasets.SplitGenerator(
-        name=datasets.Split.TRAIN,
-        gen_kwargs = { "filepath" : train_path, "split" : "train" }
-      ),
-      datasets.SplitGenerator(
-        name=datasets.Split.VALIDATION,
-        gen_kwargs = { "filepath" : validation_path, "split" : "validation" }
-      ),
-      datasets.SplitGenerator(
-        name=datasets.Split.TEST,
-        gen_kwargs = {  "filepath" : test_path, "split" : "test"},
-      )
-    ]
-
-  def _generate_examples(self, filepath, split):
-    """ Generate Dravidian MT examples"""
-
-    with open(filepath, encoding="utf-8") as f:
-      reader = csv.DictReader(f)
-      for idx, row in enumerate(reader):
-
-        if self.config.name == "zh-en":
-          result = { "translation" : { "en" : row["en"], "zh" : row["zh"] } }
-
-        yield idx, result

zh-en/dataset-train.parquet

@@ -0,0 +1,3 @@
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