repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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fat-albert | fat-albert-master/abmn/src/movieqa/data/data/story_loader.py | """MovieQA - Story Understanding Benchmark.
Story loaders for reading plots, subtitles, DVS, etc.
http://movieqa.cs.toronto.edu/
Release: v1.0
Date: 18 Nov 2015
"""
import os
import re
import pysrt
import config
PKG = config.PACKAGE_DIRECTORY
dvs_rep = re.compile('^\d+-\d+')
dvs_cur = re.compile('\{.+?\}')
quote_... | 5,064 | 32.322368 | 89 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/data/data/config.py | """Define file paths."""
import os
PACKAGE_DIRECTORY = os.path.dirname(os.path.abspath(__file__))
MOVIES_JSON = os.path.join(PACKAGE_DIRECTORY, 'data/movies.json')
QA_JSON = os.path.join(PACKAGE_DIRECTORY, 'data/qa.json')
SPLIT_JSON = os.path.join(PACKAGE_DIRECTORY, 'data/splits.json')
| 292 | 23.416667 | 65 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/data/data/__init__.py | """MovieQA - Story Understanding Benchmark.
http://movieqa.cs.toronto.edu/
Release: v1.0
Date: 18 Nov 2015
"""
from data_loader import DataLoader
| 151 | 11.666667 | 43 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/adversarial_addAny/english_words.py | """Get common English words from Brown Corpus."""
from nltk import FreqDist
from nltk.corpus import brown
import string
punctuation = set(string.punctuation) | set(['``', "''", "--"])
def get_common_words(outfile, num):
freq_dist = FreqDist(w.lower() for w in brown.words() if w not in punctuation)
vocab = [x... | 533 | 25.7 | 82 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/adversarial_addAny/create_addAny_examples.py | import sys
import os
sys.path.append('data')
# os.chdir("..")
import movieqa.data.data_loader as movie
import core.util as util
from random import randrange
from random import shuffle
import random
import glob
import tensorflow as tf
import core.model as model
import numpy as np
import _pickle as pickle
# implement... | 12,013 | 38.781457 | 138 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/adversarial_addAny/eval_addAny.py | import sys
import os
sys.path.append('data')
# os.chdir("..")
import movieqa.data.data_loader as movie
import core.util as util
from random import randrange
from random import shuffle
import random
import glob
import tensorflow as tf
import core.model as model
import numpy as np
import _pickle as pickle
# implement... | 8,214 | 33.516807 | 130 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/adversarial_addAny/add_common_words_to_vocab.py | import os
import sys
present_path = os.path.dirname(os.path.realpath(sys.argv[0]))
sys.path.append(os.path.join(present_path, '../../'))
import core.util as util
import movieqa.data_conf as data_conf
glove = util.loadGloveModel(data_conf.PRETRAINED_EMBEDDINGS_PATH)
#vectors, vocab = util.load_embeddings(data_conf.E... | 916 | 29.566667 | 82 | py |
fat-albert | fat-albert-master/abmn/src/movieqa/adversarial_addAny/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/abmn/src/ensemble_folder_test/refine.py | import numpy as np
predictions = np.loadtxt('preds.txt')
f = open("plot_results.txt", "a")
counter = 0
for i in predictions:
f.write("test:" + str(counter) + " " + str(int(i)) + "\n")
counter = counter + 1
| 215 | 23 | 62 | py |
fat-albert | fat-albert-master/bert/setup.py | """
Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git... | 2,923 | 39.054795 | 183 | py |
fat-albert | fat-albert-master/bert/hubconf.py | from transformers import (
AutoTokenizer, AutoConfig, AutoModel, AutoModelWithLMHead, AutoModelForSequenceClassification, AutoModelForQuestionAnswering
)
from transformers.file_utils import add_start_docstrings
dependencies = ['torch', 'tqdm', 'boto3', 'requests', 'regex', 'sentencepiece', 'sacremoses']
@add_star... | 6,489 | 56.433628 | 189 | py |
fat-albert | fat-albert-master/bert/examples/run_lm_finetuning.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 28,924 | 50.929982 | 165 | py |
fat-albert | fat-albert-master/bert/examples/utils_squad_evaluate.py | """ Official evaluation script for SQuAD version 2.0.
Modified by XLNet authors to update `find_best_threshold` scripts for SQuAD V2.0
In addition to basic functionality, we also compute additional statistics and
plot precision-recall curves if an additional na_prob.json file is provided.
This file is expected to ... | 12,493 | 36.746224 | 107 | py |
fat-albert | fat-albert-master/bert/examples/run_squad.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 31,780 | 54.175347 | 151 | py |
fat-albert | fat-albert-master/bert/examples/utils_multiple_choice.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 20,773 | 37.257827 | 119 | py |
fat-albert | fat-albert-master/bert/examples/run_glue.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 28,343 | 52.278195 | 158 | py |
fat-albert | fat-albert-master/bert/examples/benchmarks.py | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | 23,631 | 48.439331 | 138 | py |
fat-albert | fat-albert-master/bert/examples/run_summarization_finetuning.py | # coding=utf-8
# Copyright 2019 The HuggingFace Inc. team.
# Copyright (c) 2019 The HuggingFace Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.a... | 15,727 | 30.902637 | 120 | py |
fat-albert | fat-albert-master/bert/examples/run_bertology.py | #!/usr/bin/env python3
# Copyright 2018 CMU and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 18,901 | 51.798883 | 177 | py |
fat-albert | fat-albert-master/bert/examples/utils_summarization_test.py | # coding=utf-8
# Copyright 2019 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 5,178 | 36.80292 | 98 | py |
fat-albert | fat-albert-master/bert/examples/run_generation.py | #!/usr/bin/env python3
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in c... | 13,112 | 49.241379 | 167 | py |
fat-albert | fat-albert-master/bert/examples/run_ner.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 28,788 | 53.013133 | 184 | py |
fat-albert | fat-albert-master/bert/examples/utils_summarization.py | from collections import deque
import os
import torch
from torch.utils.data import Dataset
# ------------
# Data loading
# ------------
class CNNDailyMailDataset(Dataset):
""" Abstracts the dataset used to train seq2seq models.
CNN/Daily News:
The CNN/Daily News raw datasets are downloaded from [1]. T... | 6,022 | 31.556757 | 88 | py |
fat-albert | fat-albert-master/bert/examples/run_tf_glue.py | import os
import tensorflow as tf
import tensorflow_datasets
from transformers import BertTokenizer, TFBertForSequenceClassification, BertConfig, glue_convert_examples_to_features, BertForSequenceClassification, glue_processors
# script parameters
BATCH_SIZE = 32
EVAL_BATCH_SIZE = BATCH_SIZE * 2
USE_XLA = False
USE_AM... | 3,978 | 41.329787 | 166 | py |
fat-albert | fat-albert-master/bert/examples/test_examples.py | # coding=utf-8
# Copyright 2018 HuggingFace Inc..
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 4,166 | 36.205357 | 88 | py |
fat-albert | fat-albert-master/bert/examples/run_multiple_choice.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 29,481 | 50.722807 | 168 | py |
fat-albert | fat-albert-master/bert/examples/utils_ner.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 9,181 | 42.107981 | 109 | py |
fat-albert | fat-albert-master/bert/examples/run_xnli.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 27,117 | 51.554264 | 151 | py |
fat-albert | fat-albert-master/bert/examples/utils_squad.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a co... | 42,376 | 40.627701 | 112 | py |
fat-albert | fat-albert-master/bert/examples/utils_multiple_choice.bak.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 17,575 | 36.797849 | 119 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_transfo_xl.py | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... | 6,742 | 42.785714 | 111 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_swag.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 31,683 | 45.731563 | 154 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_movieqa.bak.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 32,036 | 45.701166 | 154 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_openai_gpt.py | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... | 14,471 | 48.731959 | 132 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_movieqa.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 35,214 | 45.274639 | 154 | py |
fat-albert | fat-albert-master/bert/examples/contrib/run_camembert.py | from pathlib import Path
import tarfile
import urllib.request
import torch
from transformers.tokenization_camembert import CamembertTokenizer
from transformers.modeling_camembert import CamembertForMaskedLM
def fill_mask(masked_input, model, tokenizer, topk=5):
# Adapted from https://github.com/pytorch/fairseq/... | 2,015 | 40.142857 | 114 | py |
fat-albert | fat-albert-master/bert/examples/distillation/grouped_batch_sampler.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 4,368 | 40.216981 | 125 | py |
fat-albert | fat-albert-master/bert/examples/distillation/utils.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 4,308 | 32.146154 | 104 | py |
fat-albert | fat-albert-master/bert/examples/distillation/lm_seqs_dataset.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 5,453 | 34.881579 | 111 | py |
fat-albert | fat-albert-master/bert/examples/distillation/run_squad_w_distillation.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 33,733 | 55.129784 | 151 | py |
fat-albert | fat-albert-master/bert/examples/distillation/train.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 13,598 | 45.731959 | 135 | py |
fat-albert | fat-albert-master/bert/examples/distillation/distiller.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 25,933 | 46.848708 | 163 | py |
fat-albert | fat-albert-master/bert/examples/distillation/scripts/token_counts.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 2,062 | 38.673077 | 129 | py |
fat-albert | fat-albert-master/bert/examples/distillation/scripts/extract.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 4,326 | 47.077778 | 158 | py |
fat-albert | fat-albert-master/bert/examples/distillation/scripts/extract_distilbert.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 4,255 | 50.277108 | 158 | py |
fat-albert | fat-albert-master/bert/examples/distillation/scripts/binarized_data.py | # coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 3,630 | 38.043011 | 140 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/modeling_xxx.py | # coding=utf-8
# Copyright 2018 XXX Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 34,579 | 51.473445 | 151 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/tokenization_xxx.py | # coding=utf-8
# Copyright 2018 XXX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 9,578 | 42.739726 | 117 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/configuration_xxx.py | # coding=utf-8
# Copyright 2010, XXX authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 5,273 | 39.259542 | 128 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/convert_xxx_original_tf_checkpoint_to_pytorch.py | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 2,565 | 37.878788 | 100 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/modeling_tf_xxx.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 27,575 | 53.605941 | 193 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/tests/tokenization_xxx_test.py | # coding=utf-8
# Copyright 2018 XXX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 2,092 | 35.086207 | 90 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/tests/modeling_tf_xxx_test.py | # coding=utf-8
# Copyright 2018 XXX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 11,411 | 43.404669 | 160 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_model/tests/modeling_xxx_test.py | # coding=utf-8
# Copyright 2018 XXX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 11,628 | 44.425781 | 160 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_example_script/utils_xxx.py |
# coding=utf-8
# Copyright 2018 XXX. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 41,415 | 40.582329 | 112 | py |
fat-albert | fat-albert-master/bert/templates/adding_a_new_example_script/run_xxx.py | # coding=utf-8
# Copyright 2018 XXX. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 30,654 | 53.741071 | 151 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/pytorch_misc.py | """
Miscellaneous functions that might be useful for pytorch
"""
import h5py
import numpy as np
import torch
from torch.autograd import Variable
import os
import dill as pkl
from itertools import tee
from torch import nn
import time
def optimistic_restore(network, state_dict):
mismatch = False
own_state = net... | 15,621 | 29.216634 | 118 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/unarylstm/lstm_swag.py | from typing import Dict, List, TextIO, Optional
from overrides import overrides
import torch
from torch.nn.modules import Linear, Dropout
import torch.nn.functional as F
from allennlp.common import Params
from allennlp.common.checks import check_dimensions_match
from allennlp.data import Vocabulary
from allennlp.modu... | 6,737 | 45.791667 | 97 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/unarylstm/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/unarylstm/predict.py | """
adapted from Allennlp because their version doesn't seem to work 😢😢😢
"""
from typing import Dict, Any, Iterable
import argparse
import logging
from allennlp.commands.subcommand import Subcommand
from allennlp.common.util import prepare_environment, import_submodules
from allennlp.common.tqdm import Tqdm
from al... | 4,020 | 35.889908 | 113 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/unarylstm/dataset_reader.py | # slightly different from the other dataset reader
from typing import Dict, List
import json
import logging
from overrides import overrides
from allennlp.common import Params
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.f... | 4,139 | 40.4 | 110 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/fasttext/prep_data.py | import pandas as pd
from tqdm import tqdm
from allennlp.common.util import get_spacy_model
USE_ONLY_GOLD_EXAMPLES = False
spacy_model = get_spacy_model("en_core_web_sm", pos_tags=False, parse=False, ner=False)
def _tokenize(sent):
return ' '.join([x.orth_.lower() for x in spacy_model(sent)])
for split in ('tra... | 2,404 | 39.083333 | 146 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/fasttext/compute_performance.py | import numpy as np
import argparse
import os
# neg probability, pos prob
parser = argparse.ArgumentParser(description='compute performance')
parser.add_argument('fn', metavar='fn', type=str,
help='filename 2 use')
fn = parser.parse_args().fn
rez = []
with open(fn, 'r') as f:
all_lines = f.read... | 772 | 27.62963 | 67 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/fasttext/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/esim/esim_swag.py | # TODO: projection dropout with ELMO
# l2 reg with ELMO
# multiple ELMO layers
# doc
from typing import Dict, Optional
import torch
from torch.autograd import Variable
from allennlp.common import Params
from allennlp.common.checks import check_dimensions_match
from allennlp.data import Vocabulary
from allennlp... | 13,868 | 45.69697 | 156 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/esim/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/esim/predict.py | """
adapted from Allennlp because their version doesn't seem to work 😢😢😢
"""
from typing import Dict, Any, Iterable
import argparse
import logging
from allennlp.commands.subcommand import Subcommand
from allennlp.common.util import prepare_environment, import_submodules
from allennlp.common.tqdm import Tqdm
from al... | 3,983 | 36.233645 | 113 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/esim/dataset_reader.py | # Exactly the same as the other dataset reader
from typing import Dict, List
import json
import logging
from overrides import overrides
from allennlp.common import Params
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.field... | 4,065 | 40.917526 | 110 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/decomposable_attention/decomposable_attention_swag.py | from typing import Dict, Optional
import torch
from allennlp.common import Params
from allennlp.common.checks import check_dimensions_match
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import FeedForward, MatrixAttention
from allennlp.modules import Seq2SeqEncoder... | 13,628 | 50.430189 | 164 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/decomposable_attention/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/swag_baselines/decomposable_attention/dataset_reader.py | # Exactly the same as the other dataset reader
from typing import Dict, List
import json
import logging
from overrides import overrides
from allennlp.common import Params
from allennlp.common.file_utils import cached_path
from allennlp.data.dataset_readers.dataset_reader import DatasetReader
from allennlp.data.field... | 4,065 | 40.917526 | 110 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/raw_data/events.py | """
Dataloader for event data. this includes
- rocstories
- didemo
- MPII
- activitynet captions
"""
import pandas as pd
import json
from collections import defaultdict
import numpy as np
import re
import os
from tqdm import tqdm
from allennlp.common.util import get_spacy_model
from tqdm import tqdm
from unidecode imp... | 23,643 | 39.417094 | 148 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/questions2mturk.py | import random
import pickle as pkl
import numpy as np
from tqdm import tqdm
from nltk.tokenize.moses import MosesDetokenizer
import pandas as pd
import re
detokenizer = MosesDetokenizer()
NUM_DISTRACTORS = 5
def _detokenize(sent):
s0 = detokenizer.detokenize(sent, return_str=True)
s1 = re.sub(r'\b(ca|do|wo)\s... | 2,111 | 32.52381 | 167 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/rebalance_dataset_mlp.py | """
The big idea will be to add in the worst scoring one. But we want to use a MULTILAYER PERCEPTRON.
Also not using word features for now
"""
import matplotlib as mpl
mpl.use('Agg')
import seaborn as sns
import matplotlib.pyplot as plt
from allennlp.data import Vocabulary
from torch.nn import functional as F
from t... | 10,256 | 39.066406 | 138 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/classifiers.py | """
The big idea will be to add in the worst scoring one. But we want to use a MULTILAYER PERCEPTRON.
Also not using word features for now
"""
import torch
from allennlp.common import Params
from allennlp.modules.augmented_lstm import AugmentedLstm
from allennlp.modules.seq2seq_encoders.pytorch_seq2seq_wrapper import... | 15,626 | 43.019718 | 151 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/sample_candidates.py | import pickle as pkl
from argparse import ArgumentParser
from copy import deepcopy
from time import time
import numpy as np
import pandas as pd
import torch
from allennlp.commands.predict import Predictor
from allennlp.data import Vocabulary
from allennlp.models.archival import load_archive
from tqdm import tqdm
from... | 8,718 | 40.918269 | 119 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/generate_candidates/rebalance_dataset_ensemble.py | """
The big idea will be to add in the worst scoring one. But we want to use a MULTILAYER PERCEPTRON.
Also not using word features for now
"""
import pickle as pkl
from argparse import ArgumentParser
from copy import deepcopy
import numpy as np
import pandas as pd
import spacy
import torch
from allennlp.data import ... | 13,160 | 44.539792 | 122 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/pretrain_lm.py | import os
import pandas as pd
import torch
from allennlp.data import Instance
from allennlp.data import Token
from allennlp.data import Vocabulary
from allennlp.data.dataset import Batch
from allennlp.data.fields import TextField
from allennlp.data.token_indexers import SingleIdTokenIndexer
from allennlp.data.token_in... | 4,759 | 40.391304 | 118 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/config.py | # Set this to how many LMs you want to train on diff splits of the data
NUM_FOLDS = 5
# what text to train on (right now it's toronto books)
PRETRAIN_TXT = '/home/mbforbes/repos/ari-holtzman/learning_to_write/data/corpora/tbooks/train.txt' | 242 | 33.714286 | 98 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/train_lm.py | import os
from argparse import ArgumentParser
import numpy as np
import pandas as pd
import torch
from torch import optim
from torch.optim.lr_scheduler import StepLR
from tqdm import tqdm
from create_swag.lm.config import NUM_FOLDS
from create_swag.lm.load_data import load_lm_data, RawPassages
from create_swag.lm.sim... | 3,709 | 41.159091 | 104 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/simple_bilm.py | """
A wrapper around ai2s elmo LM to allow for an lm objective...
"""
from typing import Optional, Tuple
from typing import Union, List, Dict
import numpy as np
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.data import Token, Vocabulary, Instance
from allennlp.data.dataset import Ba... | 16,902 | 48.568915 | 117 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/load_data.py | # First make the vocabulary, etc.
import os
import pickle as pkl
import random
import simplejson as json
from allennlp.common.util import get_spacy_model
from allennlp.data import Instance
from allennlp.data import Token
from allennlp.data import Vocabulary
from allennlp.data.dataset import Batch
from allennlp.data.f... | 6,285 | 40.629139 | 118 | py |
fat-albert | fat-albert-master/bert/datasets/SWAG/create_swag/lm/__init__.py | 0 | 0 | 0 | py | |
fat-albert | fat-albert-master/bert/datasets/MovieQA/semantic_alignment_clinical.py | import config as cfg
import story_loader
import data_loader
import csv
import numpy as np
from semantic_text_similarity.models import WebBertSimilarity
from semantic_text_similarity.models import ClinicalBertSimilarity
web_model = WebBertSimilarity(device='cuda', batch_size=10) #defaults to GPU prediction
clinical_mod... | 2,519 | 34 | 100 | py |
fat-albert | fat-albert-master/bert/datasets/MovieQA/sem_align_eval_train.py | import config as cfg
import story_loader
import data_loader
import csv
import numpy as np
from semantic_text_similarity.models import WebBertSimilarity
from semantic_text_similarity.models import ClinicalBertSimilarity
web_model = WebBertSimilarity(device='cuda', batch_size=100) #defaults to GPU prediction
clinical_mo... | 5,033 | 39.596774 | 100 | py |
fat-albert | fat-albert-master/bert/datasets/MovieQA/semantic_alignment.py | import config as cfg
import story_loader
import data_loader
import csv
import numpy as np
from semantic_text_similarity.models import WebBertSimilarity
web_model = WebBertSimilarity(device='cuda', batch_size=10) #defaults to GPU prediction
num_sentences = 6
mqa = data_loader.DataLoader()
def stringReplace(input):
... | 5,040 | 42.08547 | 170 | py |
fat-albert | fat-albert-master/bert/datasets/MovieQA/sem_align_eval_val.py | import config as cfg
import story_loader
import data_loader
import csv
import numpy as np
from semantic_text_similarity.models import WebBertSimilarity
from semantic_text_similarity.models import ClinicalBertSimilarity
web_model = WebBertSimilarity(device='cuda', batch_size=100) #defaults to GPU prediction
clinical_mo... | 5,009 | 39.403226 | 100 | py |
fat-albert | fat-albert-master/bert/datasets/MovieQA/semantic_alignment_fast.py | import config as cfg
import story_loader
import data_loader
import csv
import numpy as np
from semantic_text_similarity.models import WebBertSimilarity
web_model = WebBertSimilarity(device='cuda', batch_size=10) #defaults to GPU prediction
num_sentences = 6
mqa = data_loader.DataLoader()
def stringReplace(input):
... | 2,116 | 37.490909 | 170 | py |
fat-albert | fat-albert-master/bert/datasets/MovieQA/plot_alignment.py | import config as cfg
import story_loader
import data_loader
import csv
mqa = data_loader.DataLoader()
def stringReplace(input):
output = input
if not output:
output = 'None'
return output
## LOAD THE TRAINING DATASET
movie_list = mqa.get_split_movies(split='train')
story, qa = mqa.get_story_qa_da... | 2,784 | 38.785714 | 170 | py |
fat-albert | fat-albert-master/bert/docs/source/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 5,609 | 28.68254 | 79 | py |
fat-albert | fat-albert-master/bert/transformers/modeling_encoder_decoder.py | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 15,827 | 49.893891 | 472 | py |
fat-albert | fat-albert-master/bert/transformers/tokenization_roberta.py | # coding=utf-8
# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 7,300 | 47.673333 | 120 | py |
fat-albert | fat-albert-master/bert/transformers/modeling_tf_albert.py | # coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | 39,735 | 48.732165 | 193 | py |
fat-albert | fat-albert-master/bert/transformers/configuration_xlm.py | # coding=utf-8
# Copyright 2019-present, Facebook, Inc and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 8,112 | 43.576923 | 121 | py |
fat-albert | fat-albert-master/bert/transformers/optimization.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | 7,658 | 44.052941 | 134 | py |
fat-albert | fat-albert-master/bert/transformers/configuration_xlnet.py | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... | 6,805 | 38.80117 | 110 | py |
fat-albert | fat-albert-master/bert/transformers/__main__.py | # coding: utf8
def main():
import sys
if (len(sys.argv) < 4 or len(sys.argv) > 6) or sys.argv[1] not in ["bert", "gpt", "transfo_xl", "gpt2", "xlnet", "xlm"]:
print(
"This command line utility let you convert original (author released) model checkpoint to pytorch.\n"
"It should be used a... | 7,085 | 53.507692 | 135 | py |
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