parquet-converter
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Update parquet files
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- .gitattributes +0 -37
- amazon-massive-dataset-1.0.tar.gz → af/amazon_massive_scenario-test.parquet +2 -2
- af/amazon_massive_scenario-train.parquet +3 -0
- af/amazon_massive_scenario-validation.parquet +3 -0
- am/amazon_massive_scenario-test.parquet +3 -0
- am/amazon_massive_scenario-train.parquet +3 -0
- am/amazon_massive_scenario-validation.parquet +3 -0
- amazon_massive_scenario.py +0 -176
- ar/amazon_massive_scenario-test.parquet +3 -0
- ar/amazon_massive_scenario-train.parquet +3 -0
- ar/amazon_massive_scenario-validation.parquet +3 -0
- az/amazon_massive_scenario-test.parquet +3 -0
- az/amazon_massive_scenario-train.parquet +3 -0
- az/amazon_massive_scenario-validation.parquet +3 -0
- bn/amazon_massive_scenario-test.parquet +3 -0
- bn/amazon_massive_scenario-train.parquet +3 -0
- bn/amazon_massive_scenario-validation.parquet +3 -0
- cy/amazon_massive_scenario-test.parquet +3 -0
- cy/amazon_massive_scenario-train.parquet +3 -0
- cy/amazon_massive_scenario-validation.parquet +3 -0
- da/amazon_massive_scenario-test.parquet +3 -0
- da/amazon_massive_scenario-train.parquet +3 -0
- da/amazon_massive_scenario-validation.parquet +3 -0
- de/amazon_massive_scenario-test.parquet +3 -0
- de/amazon_massive_scenario-train.parquet +3 -0
- de/amazon_massive_scenario-validation.parquet +3 -0
- el/amazon_massive_scenario-test.parquet +3 -0
- el/amazon_massive_scenario-train.parquet +3 -0
- el/amazon_massive_scenario-validation.parquet +3 -0
- en/amazon_massive_scenario-test.parquet +3 -0
- en/amazon_massive_scenario-train.parquet +3 -0
- en/amazon_massive_scenario-validation.parquet +3 -0
- es/amazon_massive_scenario-test.parquet +3 -0
- es/amazon_massive_scenario-train.parquet +3 -0
- es/amazon_massive_scenario-validation.parquet +3 -0
- fa/amazon_massive_scenario-test.parquet +3 -0
- fa/amazon_massive_scenario-train.parquet +3 -0
- fa/amazon_massive_scenario-validation.parquet +3 -0
- fi/amazon_massive_scenario-test.parquet +3 -0
- fi/amazon_massive_scenario-train.parquet +3 -0
- fi/amazon_massive_scenario-validation.parquet +3 -0
- fr/amazon_massive_scenario-test.parquet +3 -0
- fr/amazon_massive_scenario-train.parquet +3 -0
- fr/amazon_massive_scenario-validation.parquet +3 -0
- he/amazon_massive_scenario-test.parquet +3 -0
- he/amazon_massive_scenario-train.parquet +3 -0
- he/amazon_massive_scenario-validation.parquet +3 -0
- hi/amazon_massive_scenario-test.parquet +3 -0
- hi/amazon_massive_scenario-train.parquet +3 -0
- hi/amazon_massive_scenario-validation.parquet +3 -0
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amazon-massive-dataset-1.0.tar.gz → af/amazon_massive_scenario-test.parquet
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af/amazon_massive_scenario-train.parquet
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af/amazon_massive_scenario-validation.parquet
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am/amazon_massive_scenario-test.parquet
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amazon_massive_scenario.py
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# coding=utf-8
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"""MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages"""
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import json
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
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for the Natural Language Understanding tasks of intent prediction and slot annotation.
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Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
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the SLURP dataset, composed of general Intelligent Voice Assistant single-shot interactions.
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"""
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_URL = "amazon-massive-dataset-1.0.tar.gz"
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_LANGUAGES = {
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"af": "af-ZA",
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"am": "am-ET",
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"ar": "ar-SA",
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"az": "az-AZ",
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"bn": "bn-BD",
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"cy": "cy-GB",
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"da": "da-DK",
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"de": "de-DE",
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"el": "el-GR",
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"en": "en-US",
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"es": "es-ES",
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"fa": "fa-IR",
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"fi": "fi-FI",
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"fr": "fr-FR",
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"he": "he-IL",
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"hi": "hi-IN",
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"hu": "hu-HU",
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"hy": "hy-AM",
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"id": "id-ID",
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"is": "is-IS",
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"it": "it-IT",
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"ja": "ja-JP",
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"jv": "jv-ID",
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"ka": "ka-GE",
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"km": "km-KH",
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"kn": "kn-IN",
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"ko": "ko-KR",
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"lv": "lv-LV",
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"ml": "ml-IN",
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"mn": "mn-MN",
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"ms": "ms-MY",
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"my": "my-MM",
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"nb": "nb-NO",
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"nl": "nl-NL",
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"pl": "pl-PL",
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"pt": "pt-PT",
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"ro": "ro-RO",
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"ru": "ru-RU",
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"sl": "sl-SL",
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"sq": "sq-AL",
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"sv": "sv-SE",
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"sw": "sw-KE",
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"ta": "ta-IN",
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"te": "te-IN",
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"th": "th-TH",
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"tl": "tl-PH",
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"tr": "tr-TR",
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"ur": "ur-PK",
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"vi": "vi-VN",
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"zh-CN": "zh-CN",
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"zh-TW": "zh-TW",
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}
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_SCENARIOS = [
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"social",
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"transport",
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"calendar",
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"play",
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"news",
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"datetime",
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"recommendation",
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"email",
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"iot",
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"general",
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"audio",
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"lists",
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"qa",
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"cooking",
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"takeaway",
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"music",
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"alarm",
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"weather",
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]
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class MASSIVE(datasets.GeneratorBasedBuilder):
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"""MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages"""
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name=name,
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version=datasets.Version("1.0.0"),
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description=f"The MASSIVE corpora for {name}",
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)
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for name in _LANGUAGES.keys()
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]
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DEFAULT_CONFIG_NAME = "en"
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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"label": datasets.features.ClassLabel(names=_SCENARIOS),
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"label_text": datasets.Value("string"),
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"text": datasets.Value("string"),
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},
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),
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supervised_keys=None,
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homepage="https://github.com/alexa/massive",
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citation="_CITATION",
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license="_LICENSE",
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)
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def _split_generators(self, dl_manager):
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# path = dl_manager.download_and_extract(_URL)
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archive_path = dl_manager.download(_URL)
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files = dl_manager.iter_archive(archive_path)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"files": files,
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"split": "train",
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"lang": self.config.name,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"files": files,
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"split": "dev",
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"lang": self.config.name,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
|
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"files": files,
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"split": "test",
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"lang": self.config.name,
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},
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),
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]
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def _generate_examples(self, files, split, lang):
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filepath = "1.0/data/" + _LANGUAGES[lang] + ".jsonl"
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logger.info("⏳ Generating examples from = %s", filepath)
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for path, f in files:
|
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if path == filepath:
|
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lines = f.readlines()
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key_ = 0
|
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for line in lines:
|
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data = json.loads(line)
|
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-
if data["partition"] != split:
|
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continue
|
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yield key_, {
|
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"id": data["id"],
|
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"label": data["scenario"],
|
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"label_text": data["scenario"],
|
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"text": data["utt"],
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}
|
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key_ += 1
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ar/amazon_massive_scenario-test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b49de88dc6142f3c12ec9a0b6347502264513bc8fa5dab2dc2ab721067c1c3da
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size 103802
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ar/amazon_massive_scenario-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:96f9fbab7dea82d9b373ead93eff452321a64d763f01cd4bd7846fd85379c455
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size 383213
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ar/amazon_massive_scenario-validation.parquet
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version https://git-lfs.github.com/spec/v1
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