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# An older version exists, so remove these outdated files.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'], '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# An older version exists, so remove these outdated files.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'], '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# An older version exists, so remove these outdated files.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'], '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 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.
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):
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 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):
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'], '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'], '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 build(opt):
dpath = os.path.join(opt['datapath'], DATASET_NAME_LOCAL)
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)
logging.info('Removed the existing data (old version).')
build_data.make_dir(dpath)
_download_with_cloud_storage_client(dpath)
_untar_dataset_files(dpath)
_move_valid_files_from_dev_to_valid(dpath)
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'C3')
version = '1.0'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
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_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'])
airdialogue_path = os.path.join(dpath, 'airdialogue_data')
version = '1.1'
if not build_data.built(airdialogue_path, version_string=version):
print('[building data: ' + airdialogue_path + ']')
if build_data.built(airdialogue_path):
build_data.remove_dir(airdialogue_path)
# Download the data.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
build_data.mark_done(airdialogue_path, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'multiwoz')
version = '1.0'
if not build_data.built(dpath, version_string=version):
print('[building data: ' + dpath + ']')
if build_data.built(dpath):
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
fname = 'MULTIWOZ2.1.zip'
url = 'https://www.repository.cam.ac.uk/bitstream/handle/1810/294507/MULTIWOZ2.1.zip?sequence=1&isAllowed=y'
build_data.download(url, dpath, fname)
build_data.unzip(dpath, fname)
build_data.mark_done(dpath, version_string=version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'wizard_of_wikipedia')
version = '1.0'
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)
build_data.mark_done(dpath, 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.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
print('processing unpacked files')
# Use 1000 examples from training set as validation.
json1 = os.path.join(dpath, RESOURCES[0].file_name.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, RESOURCES[1].file_name.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 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'], 'MCTest')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
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(dpath, url)
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)
def build(opt):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'QACNN')
if not build_data.built(dpath, version):
print('[building data: ' + dpath + ']')
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: Opt) -> None:
dpath = os.path.join(opt['datapath'], DATASET_NAME)
if build_data.built(dpath, VERSION):
logging.debug('Data was already built. Skipping the data building.')
return
if os.path.exists(dpath):
logging.debug(f'Removing old/corrupted data in {dpath}.')
build_data.remove_dir(dpath)
logging.info(
f'[building data: {dpath}]\nThis may take a while but only heppens once.'
)
logging.info(f'Cloning Github repo {GH_REPO}')
temp_path = os.path.join(dpath, "temp")
Repo.clone_from(GH_REPO, temp_path)
build_data.untar(temp_path, 'data.zip')
# Copying the unzipped data files to the dpath
for dt in ('train', 'test'):
fname = f'{dt}.json'
fsource = os.path.join(temp_path, 'data', fname)
fdest = os.path.join(dpath, fname)
os.rename(fsource, fdest)
# Removing unused files from the repository
build_data.remove_dir(temp_path)
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 = opt['datapath'] + "/VQA-COCO2014/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# Download the data.
fname1 = "Questions_Train_mscoco.zip"
fname2 = "Questions_Val_mscoco.zip"
fname3 = "Questions_Test_mscoco.zip"
fname4 = "Annotations_Val_mscoco.zip"
fname5 = "Annotations_Train_mscoco.zip"
url = "http://visualqa.org/data/mscoco/vqa/"
build_data.download(dpath, url + fname1)
build_data.download(dpath, url + fname2)
build_data.download(dpath, url + fname3)
build_data.download(dpath, url + fname4)
build_data.download(dpath, url + 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)
buildImage(dpath)
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
dpath = os.path.join(opt['datapath'], 'VQA-v2')
if not build_data.built(dpath):
print('[building data: ' + 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(dpath, url + fname1)
build_data.download(dpath, url + fname2)
build_data.download(dpath, url + fname3)
build_data.download(dpath, url + fname4)
build_data.download(dpath, url + 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)
def build(opt):
dpath = os.path.join(opt['datapath'], 'CornellMovie')
version = 'v1.01'
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.
for downloadable_file in 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'], 'WikiQA')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
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)
def build(opt):
version = MSC_DATASETS_VERSION
# create particular instance of dataset depending on flags..
dpath = get_msc_dir_path(opt)
if not build_data.built(dpath, version):
logger.warning('[build 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)
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
# Mark the data as built.
build_data.mark_done(dpath, version)
return dpath
def build(opt):
# get path to data directory
dpath = os.path.join(opt['datapath'], 'wikitext-103')
# check if data had been previously built
if not build_data.built(dpath):
build_data.make_dir(dpath)
# Download data
url = 'https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip'
fname = 'wikitext-103.zip'
build_data.download(url, dpath, fname)
# Extract data
zip_path = Path(dpath).joinpath(fname)
with ZipFile(zip_path) as zip:
for info in zip.infolist():
if info.filename[-1] == '/':
continue
info.filename = os.path.basename(info.filename)
zip.extract(info, dpath)
os.remove(zip_path)
# Convert to parlai format
ParlAI_format(Path(dpath))
build_data.mark_done(dpath)
def build(opt):
dpath = opt['datapath'] + "/WebQuestions/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
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(dpath, url)
build_data.move(dpath + 'index.html', dpath + 'train.json')
url = ("https://worksheets.codalab.org/rest/bundles/" +
"0xe7bac352fce7448c9ef238fb0a297ec2/contents/blob/")
build_data.download(dpath, url)
build_data.move(dpath + 'index.html', dpath + 'test.json')
create_fb_format(dpath, 'train', dpath + 'train.json')
create_fb_format(dpath, 'valid', dpath + 'train.json')
create_fb_format(dpath, 'test', dpath + 'test.json')
# Mark the data as built.
build_data.mark_done(dpath)
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_download(opt):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'covid')
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, check=False)
# Mark the data as built.
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'dialog-bAbI-plus')
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.
for downloadable_file in RESOURCES:
downloadable_file.download_file(dpath)
build_data.mark_done(dpath, version)
def build(opt):
dpath = os.path.join(opt['datapath'], 'VQA-COCO2014')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
for item in os.listdir(dpath):
item = os.path.join(dpath, item)
if os.path.isdir(item):
build_data.remove_dir(item)
build_data.make_dir(dpath)
# Download the data.
fname1 = 'Questions_Train_mscoco.zip'
fname2 = 'Questions_Val_mscoco.zip'
fname3 = 'Questions_Test_mscoco.zip'
fname4 = 'Annotations_Val_mscoco.zip'
fname5 = 'Annotations_Train_mscoco.zip'
url = 'http://visualqa.org/data/mscoco/vqa/'
build_data.download(os.path.join(dpath, fname1), url + fname1)
build_data.download(os.path.join(dpath, fname2), url + fname2)
build_data.download(os.path.join(dpath, fname3), url + fname3)
build_data.download(os.path.join(dpath, fname4), url + fname4)
build_data.download(os.path.join(dpath, fname5), url + 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)
def buildImage(opt):
dpath = os.path.join(opt['datapath'], 'COCO-IMG')
if not build_data.built(dpath, version_string='1'):
print('[building image data: ' + dpath + ']')
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
# download the image data.
fname1 = 'train2014.zip'
fname2 = 'val2014.zip'
fname3 = 'test2015.zip'
url1 = 'http://msvocds.blob.core.windows.net/coco2014/'
url2 = 'http://msvocds.blob.core.windows.net/coco2015/'
build_data.download(url1 + fname1, dpath, fname1)
build_data.download(url1 + fname2, dpath, fname2)
build_data.download(url2 + 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='1')
def build(opt):
dpath = opt['datapath'] + "/MCTest/"
if not build_data.built(dpath):
print("[building data: " + dpath + "]")
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(dpath, url)
build_data.untar(dpath, fname)
dpext = dpath + 'mctest/'
create_fb_format(dpath, 'train160', dpext + 'MCTest/mc160.train', None)
create_fb_format(dpath, 'valid160', dpext + 'MCTest/mc160.dev', None)
create_fb_format(dpath, 'test160', dpext + 'MCTest/mc160.test',
dpext + 'MCTestAnswers/mc160.test.ans')
create_fb_format(dpath, 'train500', dpext + 'MCTest/mc500.train', None)
create_fb_format(dpath, 'valid500', dpext + 'MCTest/mc500.dev', None)
create_fb_format(dpath, 'test500', dpext + 'MCTest/mc500.test',
dpext + 'MCTestAnswers/mc500.test.ans')
# Mark the data as built.
build_data.mark_done(dpath)
def build(opt):
# get path to data directory
dpath = os.path.join(opt['datapath'], 'probing', 'wnli')
# check if data had been previously built
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.make_dir(dpath)
# Download data
fname = 'wnli_orig.zip'
url = 'https://firebasestorage.googleapis.com/' \
'v0/b/mtl-sentence-representations.appspot.com/' \
'o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf'
build_data.download(url, dpath, fname)
build_data.unzip(dpath, fname)
orig_dpath = os.path.join(dpath, 'wnli_orig')
os.rename(os.path.join(dpath, 'WNLI'), orig_dpath)
# Process the data
create_probing_format(Path(orig_dpath))
# mark the data as built
build_data.mark_done(dpath)
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():
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 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 build(opt):
dpath = os.path.join(opt['datapath'], 'metalwoz')
version = '1.0'
if not build_data.built(dpath, version_string=version):
if build_data.built(dpath):
build_data.remove_dir(dpath)
build_data.make_dir(dpath)
build_data.make_dir(os.path.join(dpath, 'train', 'dialogues'))
build_data.make_dir(os.path.join(dpath, 'test', 'dialogues'))
# Download the data.
RESOURCES[0].download_file(os.path.join(dpath, 'train'))
RESOURCES[1].download_file(os.path.join(dpath, 'test'))
build_data.untar(os.path.join(dpath, 'test'), 'dstc8_metalwoz_heldout.zip')
build_data.mark_done(dpath, version_string=version)
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'], '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):
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(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'], '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):
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):
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):
# 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'], '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'], '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):
version = 'v1.0'
dpath = os.path.join(opt['datapath'], 'SCAN')
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 = 'scan.tgz'
url = 'https://s3.amazonaws.com/fair-data/parlai/scan/' + fname
build_data.download(url, dpath, fname)
build_data.untar(dpath, fname)
ext = os.path.join('dailymail', 'questions')
create_fb_format(dpath, 'train', os.path.join(dpath, 'tasks_train_simple.txt'))
create_fb_format(dpath, 'valid', os.path.join(dpath, 'tasks_train_simple.txt'))
create_fb_format(dpath, 'test', os.path.join(dpath, 'tasks_test_simple.txt'))
# Mark the data as built.
build_data.mark_done(dpath, 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)
def build(opt):
"""Create train and validation data for synthetic shapes described by attributes."""
dpath = os.path.join(opt['datapath'], 'taskntalk')
if not build_data.built(dpath):
print('[building data: ' + dpath + ']')
build_data.make_dir(os.path.join(dpath, 'large'))
build_data.make_dir(os.path.join(dpath, 'small'))
# save training and validation data
to_save = {
'attributes': ['color', 'shape', 'style'],
'task_defn': [['color', 'shape'], ['shape', 'color'],
['color', 'style'], ['style', 'color'],
['shape', 'style'], ['style', 'shape']]
}
split_data = {}
# small dataset properties
properties = {
'color': ['red', 'green', 'blue', 'purple'],
'shape': ['square', 'triangle', 'circle', 'star'],
'style': ['dotted', 'solid', 'filled', 'dashed']
}
to_save['properties'] = properties
# properties.values() not used directly to maintain order
data_verbose = list(itertools.product(*[properties[key] for key in to_save['attributes']]))
# randomly select train and rest of it is valid
split_data['valid'] = random.sample(data_verbose, int(0.2 * len(data_verbose)))
split_data['train'] = [s for s in data_verbose if s not in split_data['valid']]
to_save['data'] = split_data['train']
with open(os.path.join(dpath, 'small', 'train.json'), 'w') as outfile:
json.dump(to_save, outfile, indent=4, separators=(',', ': '), sort_keys=True)
to_save['data'] = split_data['valid']
with open(os.path.join(dpath, 'small', 'valid.json'), 'w') as outfile:
json.dump(to_save, outfile, indent=4, separators=(',', ': '), sort_keys=True)
# large dataset properties
properties = {
'color': ['red', 'green', 'blue', 'purple', 'yellow', 'cyan', 'orange', 'teal'],
'shape': ['square', 'triangle', 'circle', 'star', 'heart', 'spade', 'club', 'diamond'],
'style': ['dotted', 'solid', 'filled', 'dashed', 'hstripe', 'vstripe', 'hgrad', 'vgrad']
}
to_save['properties'] = properties
data_verbose = list(itertools.product(*[properties[key] for key in to_save['attributes']]))
split_data['valid'] = random.sample(data_verbose, int(0.8 * len(data_verbose)))
split_data['train'] = [s for s in data_verbose if s not in split_data['valid']]
to_save['data'] = split_data['train']
with open(os.path.join(dpath, 'large', 'train.json'), 'w') as outfile:
json.dump(to_save, outfile, indent=4, separators=(',', ': '), sort_keys=True)
to_save['data'] = split_data['valid']
with open(os.path.join(dpath, 'large', 'valid.json'), 'w') as outfile:
json.dump(to_save, outfile, indent=4, separators=(',', ': '), sort_keys=True)
# Mark the data as built.
build_data.mark_done(dpath)