Update parquet files

.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
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-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text

feed.py

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-from curses.ascii import isalpha
-import os
-import csv
-import re
-from typing import Sequence
-import json
-import ast
-import datasets
-
-
-
-_DESCRIPTION = """\
- Example dataset toxic
-"""
-_DATA_URL = "https://drive.google.com/uc?id=1Ldnn3YYt_ErYq4ZGSon1MvcP3uJO0_PX"
-_DATA_ENG = "https://drive.google.com/uc?id=1p-iyKTRhUXaDmqsx69Zvb4ivjaCmVVr8"
-
-_TEXT = {
-    "sen_vi": [" thất vọng", " bình thường", " hài lòng"],
-    "sen_en": [" negative", " neutral", " positive"],
-    "top_vi": [" giảng viên", " môn học", " phòng học", " tổng thể"],
-    "top_en": [" lecturer", " curriculum", " facility", " general"],
-    "top_en_": ["lecturer", "curriculum", "facility", "general"],
-    "sen_en_": ["negative", "neutral", "positive"],
-    "sen_vi_": ["thất vọng", "bình thường", "hài lòng"],
-    "top_vi_": ["giảng viên", "môn học", "phòng học", "tổng thể"],
-}
-
-class Config(datasets.BuilderConfig):
-    """BuilderConfig for GLUE."""
-
-    def __init__(self, data_url, **kwargs):
-        """BuilderConfig
-        Args:
-          data_url: `string`, url to the dataset (word or raw level)
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(Config, self).__init__(
-            version=datasets.Version(
-                "1.0.0",
-            ),
-            **kwargs,
-        )
-        self.data_url = data_url
-
-
-class Guess(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("0.1.0")
-    BUILDER_CONFIGS = [
-        Config(
-            name="top_vi",
-            data_url=_DATA_URL,
-            description="data",
-        ),
-        Config(
-            name="top_en",
-            data_url=_DATA_ENG,
-            description="data",
-        ),
-        Config(
-            name="sen_vi",
-            data_url=_DATA_URL,
-            description="data",
-        ),
-        Config(
-            name="sen_en",
-            data_url=_DATA_ENG,
-            description="data",
-        ),
-        Config(
-            name="sen_en_",
-            data_url=_DATA_ENG,
-            description="data",
-        ),
-        Config(
-            name="top_en_",
-            data_url=_DATA_ENG,
-            description="data",
-        ),
-        Config(
-            name="top_vi_",
-            data_url=_DATA_URL,
-            description="data",
-        ),
-        Config(
-            name="sen_vi_",
-            data_url=_DATA_URL,
-            description="data",
-        ),
-    ]
-
-    def _info(self):
-        # TODO(wikitext): Specifies the datasets.DatasetInfo object
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "classes": datasets.Sequence(datasets.Value("string")),
-                    "target": datasets.Value("int8")
-                }
-            ),
-            # 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,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(wikitext): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        data_file = dl_manager.download(self.config.data_url)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"data_file": data_file, "type": self.config.name},
-            ),
-        ]
-        
-
-    def _generate_examples(self, data_file, type):
-
-        """Yields examples."""
-        # TODO(wikitext): Yields (key, example) tuples from the dataset
-        with open(data_file, 'r') as f:
-            lines = list(f)
-        
-        if type[:3] == 'sen':
-            _CLASS = {
-                "negative": 0,
-                "neutral": 1,
-                "positive": 2,
-            }
-        else:
-            _CLASS = {
-                "lecturer": 0,
-                "curriculum": 1,
-                "facility": 2,
-                "others": 3
-            }
-        
-        TEXT_ = _TEXT[type]
-
-        for idx, line in enumerate(lines):
-            json_object = ast.literal_eval(line)
-            if type[:3] == 'top':
-                label = json_object['topic']
-            else:
-                label = json_object['sentiment']
-
-            if label not in _CLASS:
-                continue
-
-            _text = json_object['text']
-            _classes = []
-
-            _PROMPT = {
-                "sen_vi": f'{_text} Cảm thấy ',
-                "sen_en": f'{_text} The sentiment of this sentence is ',
-                "top_vi": f'Nói về ',
-                "top_en": f'Comment about ',
-                "sen_en_": f'{_text} The sentiment of this sentence is ',
-                "top_en_": f'Comment about ',
-                "sen_vi_": f'{_text} Cảm thấy ',
-                "top_vi_": f'Nói về ',
-            }
-    
-            for _cl in TEXT_:
-                if type[:3] == 'sen':
-                    _classes.append(_cl)
-                else:
-                    _classes.append(f'{_cl}. {_text}')
-                
-
-            yield idx, {
-                    "text" : _PROMPT[type],
-                    "classes" : _classes,
-                    "target" : _CLASS[label]
-                }

sen_en/feed-test.parquet

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sen_en_/feed-test.parquet

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sen_vi/feed-test.parquet

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sen_vi_/feed-test.parquet

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top_en/feed-test.parquet

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top_en_/feed-test.parquet

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top_vi/feed-test.parquet

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top_vi_/feed-test.parquet

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