abumafrim commited on
Commit
7e6d4e4
1 Parent(s): 4ca9adf
Files changed (2) hide show
  1. Naija-Lexicons.py +9 -9
  2. dataset_infos.json +0 -56
Naija-Lexicons.py CHANGED
@@ -63,8 +63,8 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
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  def __init__(
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  self,
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  text_features,
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- machine,
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- human,
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  label_column,
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  label_classes,
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  hau_url,
@@ -89,8 +89,8 @@ class NaijaLexiconsConfig(datasets.BuilderConfig):
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  """
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  super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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  self.text_features = text_features
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- self.machine = machine
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- self.human = human
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  self.label_column = label_column
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  self.label_classes = label_classes
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  self.hau_url = hau_url
@@ -113,8 +113,8 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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  f"""{_DESCRIPTION}"""
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  ),
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  text_features={"word": "word"},
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- machine={'machine': 'machine'},
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- human={'human': 'human'},
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  label_classes=["POSITIVE", "NEGATIVE"],
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  label_column="label",
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  hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
@@ -133,8 +133,8 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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  f"""{_DESCRIPTION}"""
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  ),
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  text_features={"word": "word"},
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- machine={},
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- human={},
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  label_classes=["POSITIVE", "NEGATIVE"],
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  label_column="label",
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  hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
@@ -182,7 +182,7 @@ class NaijaLexicons(datasets.GeneratorBasedBuilder):
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  machine = row['machine']
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  human = row['human']
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- yield id_, {"word": word, 'machine': machine, 'human': human, "label": label}
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  else:
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  for id_, row in df.iterrows():
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  word = row["word"]
 
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  def __init__(
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  self,
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  text_features,
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+ machine_translation,
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+ human_translation,
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  label_column,
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  label_classes,
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  hau_url,
 
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  """
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  super(NaijaLexiconsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
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  self.text_features = text_features
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+ self.machine_translation = machine_translation
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+ self.human_translation = human_translation
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  self.label_column = label_column
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  self.label_classes = label_classes
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  self.hau_url = hau_url
 
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  f"""{_DESCRIPTION}"""
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  ),
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  text_features={"word": "word"},
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+ machine_translation={'machine': 'machine_translation'},
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+ human_translation={'human': 'human_translation'},
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  label_classes=["POSITIVE", "NEGATIVE"],
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  label_column="label",
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  hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
 
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  f"""{_DESCRIPTION}"""
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  ),
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  text_features={"word": "word"},
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+ machine_translation={},
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+ human_translation={},
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  label_classes=["POSITIVE", "NEGATIVE"],
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  label_column="label",
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  hau_url=f"https://raw.githubusercontent.com/hausanlp/NaijaSenti/main/data/sentiment-lexicons/{t}/hausa/mixed.csv",
 
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  machine = row['machine']
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  human = row['human']
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+ yield id_, {"word": word, 'machine_translation': machine, 'human_translation': human, "label": label}
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  else:
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  for id_, row in df.iterrows():
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  word = row["word"]
dataset_infos.json DELETED
@@ -1,56 +0,0 @@
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- {
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- "default": {
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- "description": "Naija-Lexicons is a part of the Naija-Senti project. It is a list of collected stopwords from the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá.\n",
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- "citation": " ",
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- "homepage": "https://github.com/hausanlp/NaijaSenti",
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- "license": "",
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- "features": {
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- "word": {
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- "dtype": "string",
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- "id": null,
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- "_type": "Value"
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- },
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- "label": {
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- "num_classes": 2,
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- "names": [
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- "POSITIVE",
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- "NEGATIVE"
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- ],
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- "names_file": null,
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- "id": null,
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- "_type": "ClassLabel"
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- }
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- },
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- "post_processed": null,
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- "supervised_keys": {
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- "input": "word",
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- "output": "label"
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- },
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- "task_templates": [
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- {
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- "task": "text-classification",
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- "text_column": "word",
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- "label_column": "label",
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- "labels": [
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- "positive",
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- "negative",
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- "neutral"
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- ]
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- }
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- ],
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- "builder_name": "NaijaLexicons",
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- "config_name": "default",
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- "version": {
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- "version_str": "0.0.0",
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- "description": null,
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- "major": 0,
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- "minor": 0,
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- "patch": 0
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-
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- },
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- "download_size": 2069616,
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- "post_processing_size": null,
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- "dataset_size": 2173417,
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- "size_in_bytes": 4243033
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- }
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- }