Upload liv4ever.py

liv4ever.py

@@ -80,24 +80,6 @@ class liv4ever(datasets.GeneratorBasedBuilder):
 
  VERSION = datasets.Version("1.0.0")
 
- # This is an example of a dataset with multiple configurations.
- # If you don't want/need to define several sub-sets in your dataset,
- # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
- # If you need to make complex sub-parts in the datasets with configurable options
- # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
- # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
- # You will be able to load one or the other configurations in the following list with
- # data = datasets.load_dataset('my_dataset', 'train')
- # data = datasets.load_dataset('my_dataset', 'dev')
- # BUILDER_CONFIGS = [
- # datasets.BuilderConfig(name="train", version=VERSION, description="This part of my dataset covers a first domain"),
- # datasets.BuilderConfig(name="dev", version=VERSION, description="This part of my dataset covers a second domain"),
- # ]
-
- # DEFAULT_CONFIG_NAME = "train" # It's not mandatory to have a default configuration. Just use one if it make sense.
-
  def _info(self):
  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
  features = datasets.Features(
@@ -125,40 +107,6 @@ class liv4ever(datasets.GeneratorBasedBuilder):
  )
 
  def _split_generators(self, dl_manager):
- # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
- # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
- # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
- # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
- # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
- # urls = _URLS[self.config.name]
- # data_dir = dl_manager.download_and_extract(urls)
- # return [
- # datasets.SplitGenerator(
- # name=datasets.Split.TRAIN,
- # # These kwargs will be passed to _generate_examples
- # gen_kwargs={
- # "filepath": os.path.join(data_dir),
- # "split": "train",
- # },
- # ),
- # datasets.SplitGenerator(
- # name=datasets.Split.TEST,
- # # These kwargs will be passed to _generate_examples
- # gen_kwargs={
- # "filepath": os.path.join(data_dir),
- # "split": "test"
- # },
- # ),
- # datasets.SplitGenerator(
- # name=datasets.Split.VALIDATION,
- # # These kwargs will be passed to _generate_examples
- # gen_kwargs={
- # "filepath": os.path.join(data_dir),
- # "split": "dev",
- # },
- # ),
- # ]
  urls_to_download = _URLS
  downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
@@ -168,10 +116,7 @@ class liv4ever(datasets.GeneratorBasedBuilder):
  datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
  ]
 
- # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
  def _generate_examples(self, filepath):
- # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
- # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
  with open(filepath, encoding="utf-8") as f:
  jsondata = json.load(f)
  n = 0
@@ -179,44 +124,18 @@ class liv4ever(datasets.GeneratorBasedBuilder):
  for sentence in source["sentences"]:
  # Yields examples as (key, example) tuples
  n=n+1
- if source["source"] == "facebook" or source["source"] == "satversme":
- yield n, {
- "source": source["source"],
- "liv": sentence["liv"],
- "lv": sentence["lv"],
- "fr": sentence["fr"],
- "en": sentence["en"],
- }
- if source["source"] == "songs":
+ if source["source"] in ["trilium", "dictionary", "stalte"]:
  yield n, {
  "source": source["source"],
  "liv": sentence["liv"],
  "lv": sentence["lv"],
  "et": sentence["et"],
- "en": sentence["en"],
  }
- if source["source"] == "trilium" or source["source"] == "dictionary" or source["source"] == "stalte":
+ elif source["source"] in ["facebook", "satversme"]:
  yield n, {
  "source": source["source"],
  "liv": sentence["liv"],
  "lv": sentence["lv"],
  "et": sentence["et"],
- }
- if source["source"] == "vaari" or source["source"] == "luule":
- yield n, {
- "source": source["source"],
- "liv": sentence["liv"],
- "et": sentence["et"],
- }
- if source["source"] == "jeful" and "et" in sentence:
- yield n, {
- "source": source["source"],
- "liv": sentence["liv"],
- "et": sentence["et"],
- }
- if source["source"] == "jeful" and "en" in sentence:
- yield n, {
- "source": source["source"],
- "liv": sentence["liv"],
  "en": sentence["en"],
  }