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Update parquet files
Browse files- .gitattributes +2 -0
- childes_data_with_tags_.py +0 -107
- childes_data_with_tags_/childes_data_with_tags_-train.parquet +3 -0
- childes_data_with_tags_/childes_data_with_tags_-validation.parquet +3 -0
- dataset_infos.json +0 -1
- dummy/childes_data_with_tags_/1.0.0/dummy_data.zip +0 -0
- dummy/childes_data_with_tags_/1.0.0/dummy_data.zip.lock +0 -0
.gitattributes
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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childes_data_with_tags_/childes_data_with_tags_-train.parquet filter=lfs diff=lfs merge=lfs -text
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childes_data_with_tags_/childes_data_with_tags_-validation.parquet filter=lfs diff=lfs merge=lfs -text
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childes_data_with_tags_.py
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# The majority of this file was taken and adapted from this file, on 6/3/21: https://github.com/huggingface/datasets/blob/master/datasets/snli/snli.py
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# License reproduced from the original code:
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# coding=utf-8
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# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# The changes to the file include:
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# Changing all of the parameters to reflect childes data and information
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# Changing the dl_manager to be essentially unused in split_generators and loading from text files instead
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# Changing generate_examples to load directly from text files and clean the lines of text.
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import datasets
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import os
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class Childes(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="childes_data_with_tags_",
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version=datasets.Version("1.0.0", ""),
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description="Childes language modeling dataset with speaker tags.",
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)
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]
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def _info(self):
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citation_text = """\\
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@article{sanchez2019childes,
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title={childes-db: A flexible and reproducible interface to the child language data exchange system},
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author={Sanchez, Alessandro and Meylan, Stephan C and Braginsky, Mika and MacDonald, Kyle E and Yurovsky, Daniel and Frank, Michael C},
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journal={Behavior research methods},
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volume={51},
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number={4},
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pages={1928--1941},
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year={2019},
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publisher={Springer}}
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"""
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return datasets.DatasetInfo(
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description = "CHILDES data for language modeling",
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citation = citation_text,
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# 6/3 Citation info is directly taken from Google Scholar
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features=datasets.Features(
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{
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"text": datasets.Value("string"),
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}
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),
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# No default supervised_keys (as we have to pass both premise
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# and hypothesis as input).
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homepage="https://childes-db.stanford.edu/",
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)
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def _split_generators(self, download_helper):
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paths = download_helper.download_and_extract({
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'train' : 'https://www.dropbox.com/s/dl/i282barrzlari08/train.txt?dl=1',
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'val' : 'https://www.dropbox.com/s/gx0rngo3v5mvlcf/validation.txt?dl=1',
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})
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list_datasets = []
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phases = ['train', 'val']
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dataset_names = [
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datasets.Split.TRAIN,
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datasets.Split.VALIDATION,
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]
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for phase, phase_name in zip(phases, dataset_names):
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this_dataset = datasets.SplitGenerator(
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name=phase_name, gen_kwargs={"file_path": paths[phase]}
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)
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list_datasets.append(this_dataset)
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return list_datasets
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def _generate_examples(self, file_path):
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# 6/17: https://stackoverflow.com/questions/10406135/unicodedecodeerror-ascii-codec-cant-decode-byte-0xd1-in-position-2-ordinal
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with open(file_path, 'r', encoding="utf-8") as f:
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for idx, line in enumerate(f.readlines()):
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yield idx, {"text" : line.strip('\n')}
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childes_data_with_tags_/childes_data_with_tags_-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:10e53fb05d2d9c5ac8c248811246985a2a05e3f07eb07e07c0357af23e5e31e5
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size 41746760
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childes_data_with_tags_/childes_data_with_tags_-validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:da799888e1b3f48051f92b4a49bc8ef85f32f6976b8f5c92bb23ce4f6469ab51
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size 9337188
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dataset_infos.json
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{"childes_data_with_tags_": {"description": "CHILDES data for language modeling", "citation": "\\\n@article{sanchez2019childes,\n title={childes-db: A flexible and reproducible interface to the child language data exchange system},\n author={Sanchez, Alessandro and Meylan, Stephan C and Braginsky, Mika and MacDonald, Kyle E and Yurovsky, Daniel and Frank, Michael C},\n journal={Behavior research methods},\n volume={51},\n number={4},\n pages={1928--1941},\n year={2019},\n publisher={Springer}}\n ", "homepage": "https://childes-db.stanford.edu/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "childes", "config_name": "childes_data_with_tags_", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 90694611, "num_examples": 3204912, "dataset_name": "childes"}, "validation": {"name": "validation", "num_bytes": 20274372, "num_examples": 721622, "dataset_name": "childes"}}, "download_checksums": {"https://www.dropbox.com/s/dl/i282barrzlari08/train.txt?dl=1": {"num_bytes": 81078591, "checksum": "be22b32ff345d0a63ae17f37329a52a62945658e2b5bb482c56a23a192c9b1ea"}, "https://www.dropbox.com/s/gx0rngo3v5mvlcf/validation.txt?dl=1": {"num_bytes": 18109214, "checksum": "e34be62bb2bdd8913935aeef963ccbf7da78a1ecf44bbdfeb69dbe2146a91155"}}, "download_size": 99187805, "post_processing_size": null, "dataset_size": 110968983, "size_in_bytes": 210156788}}
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dummy/childes_data_with_tags_/1.0.0/dummy_data.zip
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Binary file (740 Bytes)
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dummy/childes_data_with_tags_/1.0.0/dummy_data.zip.lock
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File without changes
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