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| """ Script for downloading all GLUE data. | |
| Original source: https://gist.github.com/W4ngatang/60c2bdb54d156a41194446737ce03e2e | |
| Note: for legal reasons, we are unable to host MRPC. | |
| You can either use the version hosted by the SentEval team, which is already tokenized, | |
| or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually. | |
| For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example). | |
| You should then rename and place specific files in a folder (see below for an example). | |
| mkdir MRPC | |
| cabextract MSRParaphraseCorpus.msi -d MRPC | |
| cat MRPC/_2DEC3DBE877E4DB192D17C0256E90F1D | tr -d $'\r' > MRPC/msr_paraphrase_train.txt | |
| cat MRPC/_D7B391F9EAFF4B1B8BCE8F21B20B1B61 | tr -d $'\r' > MRPC/msr_paraphrase_test.txt | |
| rm MRPC/_* | |
| rm MSRParaphraseCorpus.msi | |
| 1/30/19: It looks like SentEval is no longer hosting their extracted and tokenized MRPC data, so you'll need to download the data from the original source for now. | |
| 2/11/19: It looks like SentEval actually *is* hosting the extracted data. Hooray! | |
| """ | |
| import argparse | |
| import os | |
| import sys | |
| import urllib.request | |
| import zipfile | |
| TASKS = ["CoLA", "SST", "MRPC", "QQP", "STS", "MNLI", "SNLI", "QNLI", "RTE", "WNLI", "diagnostic"] | |
| TASK2PATH = { | |
| "CoLA": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4", | |
| "SST": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8", | |
| "MRPC": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc", | |
| "QQP": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5", | |
| "STS": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5", | |
| "MNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce", | |
| "SNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df", | |
| "QNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601", | |
| "RTE": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb", | |
| "WNLI": "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf", | |
| "diagnostic": "https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D", | |
| } | |
| MRPC_TRAIN = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt" | |
| MRPC_TEST = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt" | |
| def download_and_extract(task, data_dir): | |
| print(f"Downloading and extracting {task}...") | |
| data_file = f"{task}.zip" | |
| urllib.request.urlretrieve(TASK2PATH[task], data_file) | |
| with zipfile.ZipFile(data_file) as zip_ref: | |
| zip_ref.extractall(data_dir) | |
| os.remove(data_file) | |
| print("\tCompleted!") | |
| def format_mrpc(data_dir, path_to_data): | |
| print("Processing MRPC...") | |
| mrpc_dir = os.path.join(data_dir, "MRPC") | |
| if not os.path.isdir(mrpc_dir): | |
| os.mkdir(mrpc_dir) | |
| if path_to_data: | |
| mrpc_train_file = os.path.join(path_to_data, "msr_paraphrase_train.txt") | |
| mrpc_test_file = os.path.join(path_to_data, "msr_paraphrase_test.txt") | |
| else: | |
| print("Local MRPC data not specified, downloading data from %s" % MRPC_TRAIN) | |
| mrpc_train_file = os.path.join(mrpc_dir, "msr_paraphrase_train.txt") | |
| mrpc_test_file = os.path.join(mrpc_dir, "msr_paraphrase_test.txt") | |
| urllib.request.urlretrieve(MRPC_TRAIN, mrpc_train_file) | |
| urllib.request.urlretrieve(MRPC_TEST, mrpc_test_file) | |
| if not os.path.isfile(mrpc_train_file): | |
| raise ValueError(f"Train data not found at {mrpc_train_file}") | |
| if not os.path.isfile(mrpc_test_file): | |
| raise ValueError(f"Test data not found at {mrpc_test_file}") | |
| urllib.request.urlretrieve(TASK2PATH["MRPC"], os.path.join(mrpc_dir, "dev_ids.tsv")) | |
| dev_ids = [] | |
| with open(os.path.join(mrpc_dir, "dev_ids.tsv"), encoding="utf8") as ids_fh: | |
| for row in ids_fh: | |
| dev_ids.append(row.strip().split("\t")) | |
| with open(mrpc_train_file, encoding="utf8") as data_fh, open( | |
| os.path.join(mrpc_dir, "train.tsv"), "w", encoding="utf8" | |
| ) as train_fh, open(os.path.join(mrpc_dir, "dev.tsv"), "w", encoding="utf8") as dev_fh: | |
| header = data_fh.readline() | |
| train_fh.write(header) | |
| dev_fh.write(header) | |
| for row in data_fh: | |
| label, id1, id2, s1, s2 = row.strip().split("\t") | |
| if [id1, id2] in dev_ids: | |
| dev_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, id1, id2, s1, s2)) | |
| else: | |
| train_fh.write("%s\t%s\t%s\t%s\t%s\n" % (label, id1, id2, s1, s2)) | |
| with open(mrpc_test_file, encoding="utf8") as data_fh, open( | |
| os.path.join(mrpc_dir, "test.tsv"), "w", encoding="utf8" | |
| ) as test_fh: | |
| header = data_fh.readline() | |
| test_fh.write("index\t#1 ID\t#2 ID\t#1 String\t#2 String\n") | |
| for idx, row in enumerate(data_fh): | |
| label, id1, id2, s1, s2 = row.strip().split("\t") | |
| test_fh.write("%d\t%s\t%s\t%s\t%s\n" % (idx, id1, id2, s1, s2)) | |
| print("\tCompleted!") | |
| def download_diagnostic(data_dir): | |
| print("Downloading and extracting diagnostic...") | |
| if not os.path.isdir(os.path.join(data_dir, "diagnostic")): | |
| os.mkdir(os.path.join(data_dir, "diagnostic")) | |
| data_file = os.path.join(data_dir, "diagnostic", "diagnostic.tsv") | |
| urllib.request.urlretrieve(TASK2PATH["diagnostic"], data_file) | |
| print("\tCompleted!") | |
| return | |
| def get_tasks(task_names): | |
| task_names = task_names.split(",") | |
| if "all" in task_names: | |
| tasks = TASKS | |
| else: | |
| tasks = [] | |
| for task_name in task_names: | |
| if task_name not in TASKS: | |
| raise ValueError(f"Task {task_name} not found!") | |
| tasks.append(task_name) | |
| return tasks | |
| def main(arguments): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--data_dir", help="directory to save data to", type=str, default="glue_data") | |
| parser.add_argument( | |
| "--tasks", help="tasks to download data for as a comma separated string", type=str, default="all" | |
| ) | |
| parser.add_argument( | |
| "--path_to_mrpc", | |
| help="path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt", | |
| type=str, | |
| default="", | |
| ) | |
| args = parser.parse_args(arguments) | |
| if not os.path.isdir(args.data_dir): | |
| os.mkdir(args.data_dir) | |
| tasks = get_tasks(args.tasks) | |
| for task in tasks: | |
| if task == "MRPC": | |
| format_mrpc(args.data_dir, args.path_to_mrpc) | |
| elif task == "diagnostic": | |
| download_diagnostic(args.data_dir) | |
| else: | |
| download_and_extract(task, args.data_dir) | |
| if __name__ == "__main__": | |
| sys.exit(main(sys.argv[1:])) | |