def build(opt):
dpath = os.path.join(opt['datapath'], 'wmt')
version = 'None'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fnames = [('train.en','train.de', 'en_de_train.txt'),
('newstest2014.en','newstest2014.de', 'en_de_test.txt')]
for (en_fname, de_fname, w_fname) in fnames:
url_base = 'https://nlp.stanford.edu/projects/nmt/data/wmt14.en-de/'
en_url = url_base + en_fname
de_url = url_base + de_fname
build_data.download(en_url, dpath, en_fname)
build_data.download(de_url, dpath, de_fname)
with open(os.path.join(dpath, en_fname), 'r') as f:
en = [l[:-1] for l in f]
with open(os.path.join(dpath, de_fname), 'r') as f:
de = [l[:-1] for l in f]
with open(os.path.join(dpath, w_fname), 'w') as f:
for de_sent,en_sent in zip(de,en):
f.write("1 "+en_sent+"\t"+de_sent+"\n")
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'Twitter')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = "twitter_en_big.txt.gz.partaa"
fname2 = "twitter_en_big.txt.gz.partab"
url = 'https://github.com/Marsan-Ma/chat_corpus/raw/master/'
build_data.download(url + fname1, dpath, fname1)
build_data.download(url + fname2, dpath, fname2)
file1 = os.path.join(dpath, fname1)
file2 = os.path.join(dpath, fname2)
file3 = "twitter_en_big.txt.gz"
outzipfile= os.path.join(dpath, file3)
build_data.cat(file1, file2, outzipfile)
import gzip
with gzip.open(outzipfile, 'r') as f:
file_content = bytes.decode(f.read())
data = file_content.split('\n')[2:]
create_fb_format(data, dpath)
os.remove(outzipfile)
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'MCTest')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'mctest.tar.gz'
url = 'https://s3.amazonaws.com/fair-data/parlai/mctest/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
dpext = os.path.join(dpath, 'mctest')
create_fb_format(dpath, 'train160',
os.path.join(dpext, 'MCTest', 'mc160.train'), None)
create_fb_format(dpath, 'valid160',
os.path.join(dpext, 'MCTest', 'mc160.dev'), None)
create_fb_format(dpath, 'test160',
os.path.join(dpext, 'MCTest', 'mc160.test'),
os.path.join(dpext, 'MCTestAnswers', 'mc160.test.ans'))
create_fb_format(dpath, 'train500',
os.path.join(dpext, 'MCTest', 'mc500.train'), None)
create_fb_format(dpath, 'valid500',
os.path.join(dpext, 'MCTest', 'mc500.dev'), None)
create_fb_format(dpath, 'test500',
os.path.join(dpext, 'MCTest', 'mc500.test'),
os.path.join(dpext, 'MCTestAnswers', 'mc500.test.ans'))
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'WebQuestions')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
url = ('https://worksheets.codalab.org/rest/bundles/' +
'0x4a763f8cde224c2da592b75f29e2f5c2/contents/blob/')
build_data.download(url, dpath, 'train.json')
url = ('https://worksheets.codalab.org/rest/bundles/' +
'0xe7bac352fce7448c9ef238fb0a297ec2/contents/blob/')
build_data.download(url, dpath, 'test.json')
create_fb_format(dpath, 'train', os.path.join(dpath, 'train.json'))
create_fb_format(dpath, 'valid', os.path.join(dpath, 'train.json'))
create_fb_format(dpath, 'test', os.path.join(dpath, 'test.json'))
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'wmt')
version = 'None'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
train_r_fnames = ('train.en', 'train.de')
train_w_fname = 'en_de_train.txt'
valid_w_fname = 'en_de_valid.txt'
test_r_fnames = ('newstest2014.en', 'newstest2014.de')
test_w_fname = 'en_de_test.txt'
train_zip = readFiles(dpath, train_r_fnames)
numpy.random.shuffle(train_zip)
with open(os.path.join(dpath, valid_w_fname), 'w') as f:
for de_sent, en_sent in train_zip[:30000]:
f.write("1 "+en_sent+"\t"+de_sent+"\n")
with open(os.path.join(dpath, train_w_fname), 'w') as f:
for de_sent, en_sent in train_zip[30000:]:
f.write("1 "+en_sent+"\t"+de_sent+"\n")
test_zip = readFiles(dpath, test_r_fnames)
with open(os.path.join(dpath, test_w_fname), 'w') as f:
for de_sent, en_sent in test_zip:
f.write("1 "+en_sent+"\t"+de_sent+"\n")
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def buildImage(opt):
dpath = os.path.join(opt['datapath'], 'COCO-IMG')
version = '1'
if not build_data.built(dpath, version_string=version):
print('[building image data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the image data.
fname1 = 'train2014.zip'
fname2 = 'val2014.zip'
fname3 = 'test2015.zip'
url = 'https://s3.amazonaws.com/fair-data/parlai/COCO-IMG/'
build_data.download(url + fname1, dpath, fname1)
build_data.download(url + fname2, dpath, fname2)
build_data.download(url + fname3, dpath, fname3)
build_data.untar(dpath, fname1)
build_data.untar(dpath, fname2)
build_data.untar(dpath, fname3)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'QACNN')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'cnn.tgz'
gd_id = '0BwmD_VLjROrfTTljRDVZMFJnVWM'
build_data.download_from_google_drive(gd_id, os.path.join(dpath, fname))
build_data.untar(dpath, fname)
create_fb_format(dpath, 'train',
os.path.join(dpath, 'cnn', 'questions', 'training'))
create_fb_format(dpath, 'valid',
os.path.join(dpath, 'cnn', 'questions', 'validation'))
create_fb_format(dpath, 'test',
os.path.join(dpath, 'cnn', 'questions', 'test'))
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'MS_MARCO')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data
url = "https://msmarco.blob.core.windows.net/msmarco/"
fname = "train_v1.1.json.gz"
build_data.download(url + fname, dpath, 'train.gz')
fname = "dev_v1.1.json.gz"
build_data.download(url + fname, dpath, 'valid.gz')
fname = "test_public_v1.1.json.gz"
build_data.download(url + fname, dpath, 'test.gz')
create_fb_format(dpath, "train", os.path.join(dpath, 'train.gz'))
create_fb_format(dpath, "valid", os.path.join(dpath, 'valid.gz'))
create_fb_format(dpath, "test", os.path.join(dpath, 'test.gz'))
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'MovieDialog')
version = '1'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
dpath2 = os.path.join(dpath, 'movie_dialog_dataset', 'task4_reddit')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
build_data.make_dir(dpath2)
# Download the data.
fname = 'moviedialog.tar.gz'
url = 'https://s3.amazonaws.com/fair-data/parlai/moviedialog/' + fname
build_data.download(url, dpath, fname)
url2 = 'http://tinyurl.com/' + 'p6tyohj'
build_data.download(url2, dpath2, 'p6tyohj.tgz')
build_data.untar(dpath, fname)
build_data.untar(dpath2, 'p6tyohj.tgz')
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'VQA-v2')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
# An older version exists, so remove these outdated files.
if build_data.built(dpath):
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = 'v2_Questions_Train_mscoco.zip'
fname2 = 'v2_Questions_Val_mscoco.zip'
fname3 = 'v2_Questions_Test_mscoco.zip'
fname4 = 'v2_Annotations_Val_mscoco.zip'
fname5 = 'v2_Annotations_Train_mscoco.zip'
url = 'http://visualqa.org/data/mscoco/vqa/'
build_data.download(url + fname1, dpath, fname1)
build_data.download(url + fname2, dpath, fname2)
build_data.download(url + fname3, dpath, fname3)
build_data.download(url + fname4, dpath, fname4)
build_data.download(url + fname5, dpath, fname5)
build_data.untar(dpath, fname1)
build_data.untar(dpath, fname2)
build_data.untar(dpath, fname3)
build_data.untar(dpath, fname4)
build_data.untar(dpath, fname5)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def load(self, path):
opt = self.opt
mode = opt.get('image_mode', 'raw')
if mode is None or mode == 'none':
# don't need to load images
return None
elif mode == 'raw':
# raw just returns RGB values
return Image.open(path).convert('RGB')
elif mode == 'ascii':
# convert images to ascii ¯\_(ツ)_/¯
return self.img_to_ascii(path)
else:
# otherwise, looks for preprocessed version under 'mode' directory
prepath, imagefn = os.path.split(path)
dpath = os.path.join(prepath, mode)
if not os.path.exists(dpath):
build_data.make_dir(dpath)
imagefn = imagefn + '.npy'
new_path = os.path.join(prepath, mode, imagefn)
if not os.path.isfile(new_path):
return self.extract(Image.open(path).convert('RGB'), new_path)
else:
return np.load(new_path)
def build(opt):
dpath = os.path.join(opt['datapath'], 'WikiQA')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'wikiqa.tar.gz'
url = 'https://s3.amazonaws.com/fair-data/parlai/wikiqa/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
dpext = os.path.join(dpath, 'WikiQACorpus')
create_fb_format(dpath, 'train',
os.path.join(dpext, 'WikiQA-train.tsv'))
create_fb_format(dpath, 'valid',
os.path.join(dpext, 'WikiQA-dev.tsv'))
create_fb_format(dpath, 'test',
os.path.join(dpext, 'WikiQA-test.tsv'))
create_fb_format(dpath, 'train-filtered',
os.path.join(dpext, 'WikiQA-train.tsv'))
create_fb_format(dpath, 'valid-filtered',
os.path.join(dpext, 'WikiQA-dev.tsv'))
create_fb_format(dpath, 'test-filtered',
os.path.join(dpext, 'WikiQA-test.tsv'))
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'NarrativeQA')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# an older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# download the data.
fname = 'narrative_qa.zip'
# dataset URL
url = NARRATIVE_QA_DOWNLOAD_URL
build_data.download(url, dpath, fname)
# uncompress it
build_data.untar(dpath, fname)
print('downloading stories now')
base_path = os.path.join(dpath, 'narrativeqa-master')
download_stories(base_path)
# move from tmp to stories
tmp_stories_path = os.path.join(base_path,
'tmp')
new_stories_path = os.path.join(base_path,
'stories')
shutil.move(tmp_stories_path, new_stories_path)
# divide into train, valid and test for summaries
summaries_csv_path = os.path.join(base_path, 'third_party',
'wikipedia', 'summaries.csv')
new_path = os.path.join(base_path, 'summaries.csv')
shutil.move(summaries_csv_path, new_path)
divide_csv_into_sets(new_path)
# divide into sets for questions
questions_path = os.path.join(base_path, 'qaps.csv')
divide_csv_into_sets(questions_path)
# divide into sets for documents
documents_path = os.path.join(base_path, 'documents.csv')
divide_csv_into_sets(documents_path)
# move specific set's files into their set's folder
make_folders(base_path)
move_files(base_path)
# move narrativeqa-master to narrative_qa
new_path = os.path.join(dpath, 'narrative_qa')
shutil.move(base_path, new_path)
# mark the data as built
build_data.mark_done(dpath, version_string=version)
def build(opt):
version = 'v0.9'
dpath = os.path.join(opt['datapath'], 'VisDial-v0.9')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = 'visdial_0.9_train.zip'
fname2 = 'visdial_0.9_val.zip'
url = 'https://computing.ece.vt.edu/~abhshkdz/data/visdial/'
build_data.download(url + fname1, dpath, fname1)
build_data.download(url + fname2, dpath, fname2)
build_data.untar(dpath, fname1)
build_data.untar(dpath, fname2)
print('processing unpacked files')
# Use 1000 examples from training set as validation.
json1 = os.path.join(dpath, fname1.rsplit('.', 1)[0] + '.json')
with open(json1) as t_json:
train_data = json.load(t_json)
valid_data = train_data.copy()
valid_data['data'] = train_data['data'].copy()
valid_data['data']['dialogs'] = []
# Use constant stride to pick examples.
num_valid = 1000
total = len(train_data['data']['dialogs'])
step = total // (num_valid - 1)
for i in range(total-1, 0, -step)[:num_valid]:
valid_data['data']['dialogs'].append(train_data['data']['dialogs'][i])
del train_data['data']['dialogs'][i]
train_json = json1.rsplit('.', 1)[0] + '_train.json'
valid_json = json1.rsplit('.', 1)[0] + '_valid.json'
with open(train_json, 'w') as t_out, open(valid_json, 'w') as v_out:
json.dump(train_data, t_out)
json.dump(valid_data, v_out)
os.remove(json1)
# Use validation data as test.
json2 = os.path.join(dpath, fname2.rsplit('.', 1)[0] + '.json')
test_json = json2.rsplit('.', 1)[0] + '_test.json'
build_data.move(json2, test_json)
# Mark the data as built.
build_data.mark_done(dpath, version)
def save_graph(self, fname):
path = os.path.join(self._opt['datapath'], 'graph_world2')
build_data.make_dir(path)
if fname != '':
self._save_fname = path + '/' + fname + '.gw2'
else:
fname = self._save_fname
members = [attr for attr in dir(self) if not callable(getattr(self, attr))
and (not attr.startswith("__")) and (attr.startswith("_"))]
model = {}
for m in members:
model[m] = getattr(self, m)
with open(fname, 'wb') as write:
torch.save(model, write)
def build(opt):
dpath = os.path.join(opt['datapath'], 'wizard_of_wikipedia')
version = '1.0'
if not build_data.built(dpath, version):
print('dpath', dpath)
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
build_data.mark_done(dpath, version)
def build(datapath):
version = 'v1.0'
dpath = os.path.join(datapath, 'genderation_bias')
if not build_data.built(dpath, version):
logging.info('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'LCCC')
version = None
if not build_data.built(dpath, version_string=version):
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
RESOURCES[0].download_file(dpath)
# Format it for use with ConversationTeacher
_create_parlai_format(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath, version = download(opt)
if 'light_use_speech_prefix' not in opt:
opt['light_use_speech_prefix'] = True
# create particular instance of dataset depending on flags..
fpath = get_fpath(opt)
dump_path = os.path.join(opt['datapath'], 'light_dialogue_wild', 'dumps')
data_path = os.path.join(opt['datapath'], 'light_dialogue_wild', fpath)
if not build_data.built(data_path, version):
if build_data.built(data_path):
# An older version exists, so remove these outdated files.
build_data.remove_dir(data_path)
build_data.make_dir(data_path)
build_from_dump(opt, data_path, dump_path)
# Mark the data as built.
build_data.mark_done(data_path, version)
def build(opt):
dpath = opt['datapath'] + "/dialog-bAbI/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = "dialog_babi.tar.gz"
url = "https://s3.amazonaws.com/fair-data/parlai/dialog_babi/" + fname
build_data.download(dpath, url)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = os.path.join(opt['datapath'], 'WikiMovies')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'wikimovies.tar.gz'
url = 'https://s3.amazonaws.com/fair-data/parlai/wikimovies/' + fname
build_data.download(dpath, url)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = os.path.join(opt['datapath'], 'dialog-bAbI-plus')
version = "v1.1"
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
build_data.mark_done(dpath, version)
def build_data_from_path(dpath, version, downloadable_files):
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data
for downloadable_file in downloadable_files:
downloadable_file.download_file(dpath)
# Mark the data as built
build_data.mark_done(dpath, version_string=version)
return dpath, version
def build(opt):
dpath = os.path.join(opt['datapath'], 'DBLL')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'dbll.tgz'
url = 'https://s3.amazonaws.com/fair-data/parlai/dbll/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def build():
version = 'v1.0'
dpath = os.path.join(self.datapath, 'OffensiveLanguage')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'OffensiveLanguage.txt'
url = 'http://parl.ai/downloads/offensive_language/' + fname
build_data.download(url, dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version)
def download_process_wikiqa(data_path='data'):
dpath = os.path.join(data_path, 'WikiQA')
build_data.make_dir(dpath)
fname = 'wikiqa.tar.gz'
url = 'http://parl.ai/downloads/wikiqa/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
dpext = os.path.join(dpath, 'WikiQACorpus')
create_fb_format(dpath, 'train', os.path.join(dpext, 'WikiQA-train.tsv'))
create_fb_format(dpath, 'valid', os.path.join(dpext, 'WikiQA-dev.tsv'))
create_fb_format(dpath, 'test', os.path.join(dpext, 'WikiQA-test.tsv'))
create_fb_format(dpath, 'train-filtered',
os.path.join(dpext, 'WikiQA-train.tsv'))
create_fb_format(dpath, 'valid-filtered',
os.path.join(dpext, 'WikiQA-dev.tsv'))
create_fb_format(dpath, 'test-filtered',
os.path.join(dpext, 'WikiQA-test.tsv'))
def build(opt):
dpath = os.path.join(opt['datapath'], 'SimpleQuestions')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'simplequestions.tar.gz'
url = ('https://s3.amazonaws.com/fair-data/parlai/simplequestions/' +
fname)
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def download_stories(path):
documents_csv = os.path.join(path, 'documents.csv')
tmp_dir = os.path.join(path, 'tmp')
build_data.make_dir(tmp_dir)
with open(documents_csv, 'r') as f:
reader = csv.DictReader(f, delimiter=',')
for row in reader:
print("Downloading %s (%s)" % (row['wiki_title'],
row['document_id']))
finished = try_downloading(tmp_dir, row)
count = 0
while not finished and count < 5:
if count != 0:
print("Retrying (%d retries left)" % (5 - count - 1))
finished = try_downloading(tmp_dir, row)
count += 1
def build(opt):
dpath = os.path.join(opt['datapath'], 'MutualFriends')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
url = 'https://worksheets.codalab.org/rest/bundles/0x5a4cefea7fd443cea15aa532bb8fcd67/contents/blob/'
build_data.download(url, dpath, 'data.json')
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'personalized-dialog')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
# https://www.dropbox.com/s/4i9u4y24pt3paba/personalized-dialog-dataset.tar.gz?dl=1
fname = 'personalized-dialog-dataset.tar.gz'
url = 'https://www.dropbox.com/s/4i9u4y24pt3paba/' + fname + '?dl=1'
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = os.path.join(opt['datapath'], 'SQuAD')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = 'train-v1.1.json'
fname2 = 'dev-v1.1.json'
url = 'https://rajpurkar.github.io/SQuAD-explorer/dataset/'
build_data.download(dpath, url + fname1)
build_data.download(dpath, url + fname2)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = opt['datapath'] + "/SQuAD/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = "train-v1.1.json"
fname2 = "dev-v1.1.json"
url = "https://rajpurkar.github.io/SQuAD-explorer/dataset/"
build_data.download(dpath, url + fname1)
build_data.download(dpath, url + fname2)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = opt['datapath'] + "/SimpleQuestions/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = "simplequestions.tar.gz"
url = ("https://s3.amazonaws.com/fair-data/parlai/simplequestions/" +
fname)
build_data.download(dpath, url)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = os.path.join(opt['datapath'], 'FVQA')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
# An older version exists, so remove these outdated files.
if build_data.built(dpath):
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
build_data.download('https://dl.dropboxusercontent.com/s/iyz6l7jhbt6jb7q/new_dataset_release.zip', dpath, 'FVQA.zip') # noqa: E501
build_data.untar(dpath, 'FVQA.zip')
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], CONST.DATASET_NAME)
version = '1.0'
if not build_data.built(dpath, version):
logging.info(
f'[building data: {dpath}]\nThis may take a while but only heppens once.'
)
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
DATASET_FILE.download_file(dpath)
logging.info('Finished downloading dataset files successfully.')
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'wikipedia')
task = opt.get('task', 'wikipedia:all')
extract_full = task.split(':')[-1] == 'all'
if extract_full:
dpath = os.path.join(dpath, 'full')
else:
dpath = os.path.join(dpath, 'summary')
if not build_data.built(dpath):
print('dpath')
print('[building data: ' + dpath + ']')
build_data.make_dir(dpath)
if extract_full:
RESOURCES[0].download_file(dpath)
else:
RESOURCES[1].download_file(dpath)
build_data.mark_done(dpath)
def build_personality_list(opt: Opt):
dpath = os.path.join(opt['datapath'], TASK_FOLDER_NAME)
version = 'v1.0'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data
for downloadable_file in PERSONALITY_LIST_RESOURCES:
downloadable_file.download_file(dpath)
# Mark the data as built
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'wikipedia')
task = opt.get('task', 'wikipedia:all')
extract_full = task.split(':')[-1] == 'all'
if extract_full:
dpath = os.path.join(dpath, 'full')
fname = 'wiki_full_extracted.tgz'
else:
dpath = os.path.join(dpath, 'summary')
fname = "summaries.tgz"
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.make_dir(dpath)
url = 'http://parl.ai/downloads/wikipedia/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
build_data.mark_done(dpath)
def buildImage(opt):
dpath = os.path.join(opt['datapath'], 'COCO-IMG-2017')
version = '1'
if not build_data.built(dpath, version_string=version):
print('[building image data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the image data.
for downloadable_file in RESOURCES[:3]:
downloadable_file.download_file(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def download_stories(path):
documents_csv = os.path.join(path, 'documents.csv')
tmp_dir = os.path.join(path, 'tmp')
build_data.make_dir(tmp_dir)
with open(documents_csv, 'r') as f:
reader = csv.DictReader(f, delimiter=',')
for row in reader:
print("Downloading %s (%s)" %
(row['wiki_title'], row['document_id']))
finished = try_downloading(tmp_dir, row)
count = 0
while not finished and count < 5:
if count != 0:
print("Retrying (%d retries left)" % (5 - count - 1))
finished = try_downloading(tmp_dir, row)
count += 1
def build(opt):
version = 'v5.0'
dpath = os.path.join(opt['datapath'], 'ConvAI2')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'dialog-bAbI-plus')
fname = "dialog-bAbI-plus.zip"
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
url = "https://drive.google.com/uc?export=download&id=0B2MvoQfXtqZmMTJqclpBdGN2bmc"
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
build_data.mark_done(dpath, version)
def load(self, path):
opt = self.opt
mode = opt.get('image_mode', 'raw')
is_zip = False
if mode is None or mode == 'none':
# don't need to load images
return None
elif '.zip' in path:
# assume format path/to/file.zip/image_name.jpg
is_zip = True
sep = path.index('.zip') + 4
zipname = path[:sep]
file_name = path[sep + 1:]
path = ZipFile(zipname, 'r').open(file_name)
prepath = os.path.join(opt['datapath'], opt['task'])
imagefn = ''.join(
zipname.strip('.zip').split('/')[-2:]) + path.name
if mode == 'raw':
# raw just returns RGB values
return Image.open(path).convert('RGB')
elif mode == 'ascii':
# convert images to ascii ¯\_(ツ)_/¯
return self.img_to_ascii(path)
else:
# otherwise, looks for preprocessed version under 'mode' directory
if not is_zip:
prepath, imagefn = os.path.split(path)
dpath = os.path.join(prepath, mode)
if not os.path.exists(dpath):
build_data.make_dir(dpath)
imagefn = imagefn.split('.')[0]
imagefn = imagefn + '.hdf5'
new_path = os.path.join(prepath, mode, imagefn)
if not os.path.isfile(new_path):
return self.extract(Image.open(path).convert('RGB'), new_path)
else:
with open(new_path):
hdf5_file = self.h5py.File(new_path, 'r')
feature = hdf5_file['feature'].value
feature = self.torch.from_numpy(feature)
return feature
def build(opt):
dpath = os.path.join(opt['datapath'], 'MCTest')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'mctest.tar.gz'
url = 'http://parl.ai/downloads/mctest/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
dpext = os.path.join(dpath, 'mctest')
create_fb_format(
dpath, 'train160', os.path.join(dpext, 'MCTest', 'mc160.train'), None
)
create_fb_format(
dpath, 'valid160', os.path.join(dpext, 'MCTest', 'mc160.dev'), None
)
create_fb_format(
dpath,
'test160',
os.path.join(dpext, 'MCTest', 'mc160.test'),
os.path.join(dpext, 'MCTestAnswers', 'mc160.test.ans'),
)
create_fb_format(
dpath, 'train500', os.path.join(dpext, 'MCTest', 'mc500.train'), None
)
create_fb_format(
dpath, 'valid500', os.path.join(dpext, 'MCTest', 'mc500.dev'), None
)
create_fb_format(
dpath,
'test500',
os.path.join(dpext, 'MCTest', 'mc500.test'),
os.path.join(dpext, 'MCTestAnswers', 'mc500.test.ans'),
)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = opt['datapath'] + "/OpenSubtitles/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = "download.php?f=OpenSubtitles/en.tar.gz"
url = ("http://opus.lingfil.uu.se/" + fname)
build_data.download(dpath, url)
build_data.untar(dpath, 'download.php?f=OpenSubtitles%2Fen.tar.gz')
create_fb_format(dpath + '/OpenSubtitles/en/', dpath)
# Mark the data as built.
build_data.mark_done(dpath)
def build_style_labeled_datasets(opt: Opt):
dpath = get_style_labeled_data_folder(datapath=opt['datapath'])
if not build_data.built(dpath,
version_string=STYLE_LABELED_DATASETS_VERSION):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data
for downloadable_file in STYLE_LABELED_DATASETS_RESOURCES:
downloadable_file.download_file(dpath)
# Mark the data as built
build_data.mark_done(dpath,
version_string=STYLE_LABELED_DATASETS_VERSION)
def build(opt):
dpath = os.path.join(opt['datapath'], 'TriviaQA')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'triviaqa-rc.tar.gz'
url = 'http://nlp.cs.washington.edu/triviaqa/data/'
build_data.download(url + fname, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'Persona-Chat')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'personachat.tgz'
url = 'https://s3.amazonaws.com/fair-data/parlai/personachat/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'dialog-bAbI')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'dialog_babi.tar.gz'
url = 'https://s3.amazonaws.com/fair-data/parlai/dialog_babi/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(cls, dpath):
print("building version: %s" % cls.version)
# the root of dataset
dpext = os.path.join(dpath, 'insuranceQA-master/%s' % cls.version)
# read vocab file
vocab_path = os.path.join(dpext, "vocabulary")
d_vocab = cls.read_vocab(vocab_path)
# read label2answer file
label2answer_path_gz = os.path.join(dpext, cls.label2answer_fname)
d_label_answer = cls.read_label2answer(label2answer_path_gz, d_vocab)
# Create out path
out_path = os.path.join(dpath, cls.version)
build_data.make_dir(out_path)
# Parse and write data files
cls.write_data_files(dpext, out_path, d_vocab, d_label_answer)
def build(opt):
data_path = os.path.join(opt['datapath'], 'DialogueQE')
version = '1501534800'
if not build_data.built(data_path, version_string=version):
print('[building data: ' + data_path + ']')
if build_data.built(data_path):
build_data.remove_dir(data_path)
build_data.make_dir(data_path)
fname = 'data_' + version + '.tar.gz'
url = 'https://raw.githubusercontent.com/deepmipt/turing-data/master/' + fname
build_data.download(url, data_path, fname)
build_data.untar(data_path, fname)
os.rename(os.path.join(data_path, 'data_train_' + version + '.json'), os.path.join(data_path, 'train.json'))
os.rename(os.path.join(data_path, 'data_test_' + version + '.json'), os.path.join(data_path, 'test.json'))
build_data.mark_done(data_path, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'personalized-dialog')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
# https://www.dropbox.com/s/4i9u4y24pt3paba/personalized-dialog-dataset.tar.gz?dl=1
fname = 'personalized-dialog-dataset.tar.gz'
url = 'https://www.dropbox.com/s/4i9u4y24pt3paba/' + fname + '?dl=1'
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'CLEVR')
version = 'v1.0'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
# An older version exists, so remove these outdated files.
if build_data.built(dpath):
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'CLEVR_v1.0.zip'
url = 'https://s3-us-west-1.amazonaws.com/clevr/'
build_data.download(url + fname, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'OpenSubtitles')
version = '1'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
url = ('http://opus.lingfil.uu.se/download.php?f=OpenSubtitles/en.tar.gz')
build_data.download(url, dpath, 'OpenSubtitles.tar.gz')
build_data.untar(dpath, 'OpenSubtitles.tar.gz')
create_fb_format(os.path.join(dpath, 'OpenSubtitles', 'en'), dpath)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'SQuAD')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = 'train-v1.1.json'
fname2 = 'dev-v1.1.json'
url = 'https://rajpurkar.github.io/SQuAD-explorer/dataset/'
build_data.download(url + fname1, dpath, fname1)
build_data.download(url + fname2, dpath, fname2)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
# Depends upon another dataset, wikimovies, build that first.
wikimovies_build.build(opt)
dpath = os.path.join(opt['datapath'], 'DBLL')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'dbll.tgz'
url = 'https://s3.amazonaws.com/fair-data/parlai/dbll/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'COPA')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# an older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# download the data.
fname = 'COPA-resources.tgz'
# dataset URL
url = 'http://people.ict.usc.edu/~gordon/downloads/' + fname
build_data.download(url, dpath, fname)
# uncompress it
build_data.untar(dpath, fname)
# mark the data as built
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'negotiation')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
# make a clean directory if needed
if build_data.built(dpath):
# an older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data from github
fname = 'negotiation.zip'
url = ('https://github.com/facebookresearch/end-to-end-negotiator/'
'archive/master.zip')
print('[downloading data from: ' + url + ']')
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
# Mark as done
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'InsuranceQA')
version = '1'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data from github.
fname = 'insuranceqa.zip'
url = 'https://github.com/shuzi/insuranceQA/archive/master.zip'
print('[downloading data from: ' + url + ']')
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
ParseInsuranceQAV1.build(dpath)
ParseInsuranceQAV2.build(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'CornellMovie')
version = None
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
# An older version exists, so remove these outdated files.
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname = 'cornell_movie_dialogs_corpus.zip'
url = 'http://www.mpi-sws.org/~cristian/data/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
dpext = os.path.join(dpath, 'cornell movie-dialogs corpus')
create_fb_format(os.path.join(dpext, 'movie_lines.txt'),
os.path.join(dpext, 'movie_conversations.txt'),
dpath)
# Mark the data as built.
build_data.mark_done(dpath, version_string=version)
