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"""
process_underscores.py
Script to handle licensed data for which underlying text cannot be posted online (e.g. LDC data).
Users need a copy of the LDC distribution of an underlying resource to restore text in some of the corpora.
python process_underscores.py gum --rel_files /root/.cache/huggingface/datasets/downloads/a59f7db26e03978a86f53aa481af30f68699dde7ff4782562a18f81d33a10c63 --dep_files /root/.cache/huggingface/datasets/downloads/afbcb3a0d2a43e55d1437c7ba2843486c747c79d486de7ceac566a8e959d59e2
"""
__author__ = "Amir Zeldes+Damien Sileo"
__license__ = "Apache 2.0"
__version__ = "2.0.0"
import io, re, os, sys
from glob import glob
from collections import defaultdict
from argparse import ArgumentParser
PY3 = sys.version_info[0] == 3
if not PY3:
input = raw_input
gum_docs = {
"GUM_reddit_macroeconomics": [
{"year": "2017", "month": "09", "id": "6zm74h", "type": "post","source":"undef"},
{"year": "2017", "month": "09", "id": "dmwwqlt", "type":"comment","source":"undef"}
],
"GUM_reddit_stroke": [
{"year": "2017", "month": "08", "id": "6ws3eh", "type": "post","source":"undef"},
{"year": "2017", "month": "08", "id": "dmaei1x", "type":"comment","source":"undef"},
{"year": "2017", "month": "08", "id": "dmaiwsm", "type":"comment","source":"undef"},
{"year": "2017", "month": "09", "id": "dmkx8bk", "type":"comment","source":"undef"},
{"year": "2017", "month": "09", "id": "dmm1327", "type":"comment","source":"undef"},
{"year": "2017", "month": "08", "id": "dmaoodn", "type":"comment","source":"undef"}
],
"GUM_reddit_polygraph": [
{"year": "2014", "month": "12", "id": "2q6qnv", "type": "post","source":"undef"}
],
"GUM_reddit_ring": [
{"year": "2016", "month": "09", "id": "5570x1", "type": "post","source":"undef"},
{"year": "2016", "month": "09", "id": "d885ma0", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d8880w7", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d88u7dg", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d88unu3", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d88v0sz", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d88xaqu", "type":"comment","source":"undef"},
{"year": "2016", "month": "10", "id": "d893mj9", "type":"comment","source":"undef"},
{"year": "2016", "month": "09", "id": "d88s4bb", "type":"comment","source":"undef"},
{"year": "2016", "month": "10", "id": "d88zt6x", "type":"comment","source":"undef"}
],
"GUM_reddit_space": [
{"year": "2016", "month": "08", "id": "50hx5c", "type": "post","source":"undef"},
{"year": "2016", "month": "08", "id": "d7471k5", "type":"comment","source":"undef"},
{"year": "2016", "month": "08", "id": "d74i5ka", "type":"comment","source":"undef"},
{"year": "2016", "month": "08", "id": "d74ppi0", "type":"comment","source":"undef"}
],
"GUM_reddit_superman": [
#{"year": "2017", "month": "04", "id": "68e0u3", "type": "post", "title_only": True}, # Post title not included in this document
{"year": "2017", "month": "05", "id": "dgys1z8", "type":"comment","source":"undef"}
],
"GUM_reddit_bobby": [
{"year":"2018","month":"06","id":"8ph56q","type": "post","source":"undef"},
{"year":"2018","month":"06","id":"e0b8zz4","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e0dwqlg","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e15pcqu","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e0dz1mp","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e1uuo9e","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e0brc9w","type":"comment","source":"undef"},
{"year":"2018","month":"06","id":"e0bz951","type":"comment","source":"undef"}
],
"GUM_reddit_escape": [
{"year":"2017","month":"05","id":"69r98j","type": "post","source":"undef"},
{"year":"2017","month":"05","id":"dh96n8v","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dh9enpe","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dht8oyn","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dhn0hoe","type":"comment","source":"undef"},
{"year":"2017","month":"07","id":"dk9ted1","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dh98kcg","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dh9zxej","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"di9x7j9","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"di9xsrt","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"din85zf","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dinab0w","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dinaggd","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dinbyb9","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dj65sp1","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dizdd8a","type":"comment","source":"undef"},
{"year":"2017","month":"07","id":"dk78qw8","type":"comment","source":"undef"},
{"year":"2017","month":"08","id":"dm0gqc7","type":"comment","source":"undef"},
{"year":"2017","month":"10","id":"domd1r0","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dh9irie","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dh9iw36","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"djlcwu5","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"dlzcxpy","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dhabstb","type":"comment","source":"undef"},
{"year":"2017","month":"05","id":"dhbr3m6","type":"comment","source":"undef"},
{"year":"2017","month":"06","id":"diz97qy","type":"comment"}
],
"GUM_reddit_gender": [
{"year":"2018","month":"09","id":"9e5urs","type":"post","source":"bigquery"},
{"year":"2018","month":"09","id":"e5mg3s7","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5mkpok","type":"comment","source":"bigquery"},
{"year":"2018","month":"09","id":"e5nxbmb","type":"comment","source":"bigquery"},
{"year":"2018","month":"09","id":"e5nzg9j","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5mh94v","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5mmenp","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5ms5u3","type":"comment","source":"undef"}
],
"GUM_reddit_monsters":[
{"year":"2018","month":"09","id":"9eci2u","type":"post","source":"undef"},
{"year":"2018","month":"09","id":"e5ox2jr","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5p3gtl","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5pnfro","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5q08o4","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5pney1","type":"comment","source":"undef"},
],
"GUM_reddit_pandas":[
{"year":"2018","month":"09","id":"9e3s9h","type":"post","source":"undef"},
{"year":"2018","month":"09","id":"e5lwy6n","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m397o","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m3xgb","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m3z2e","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lwbbt","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m38sr","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m42cu","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lvlxm","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lvqay","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lw5t6","type":"comment","source":"undef"}, # Blowhole
{"year":"2018","month":"09","id":"e5lwz31","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lxi0s","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lwxqq","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lzv1b","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m48ag","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m1yqe","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lx0sw","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m2n80","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m2wrh","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m3blb","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5lvxoc","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m1abg","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m1w5i","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m3pdi","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m3ruf","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m4yu2","type":"comment","source":"undef"},
{"year":"2018","month":"09","id":"e5m5bcb","type":"comment","source":"undef"}
],
"GUM_reddit_steak": [
{"year":"2015","month":"08","id":"3im341","type":"post","source":"undef"}
],
"GUM_reddit_card": [
{"year":"2019","month":"08","id":"cmqrwo","type":"post","source":"undef"},
{"year":"2019","month":"08","id":"ew3zrqg","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew43d2c","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew43oks","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew43ymc","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew46h1p","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew46oly","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew46wq7","type":"comment","source":"undef"},
{"year":"2019","month":"08","id":"ew470zc","type":"comment","source":"undef"}
],
"GUM_reddit_callout": [
{"year":"2019","month":"09","id":"d1eg3u","type":"post","source":"undef"},
{"year":"2019","month":"09","id":"ezkucpg","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezkv0cc","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezkwbx9","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezlh2o6","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezlkajf","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezlnco2","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezo20yy","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezkwcvh","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezl07dm","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezmajm7","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezl1wz3","type":"comment","source":"undef"},
],
"GUM_reddit_conspiracy": [
{"year":"2019","month":"02","id":"aumhwo","type":"post","source":"undef"},
{"year":"2019","month":"02","id":"eh9rt0n","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"eh9tvyw","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"ehc0l2q","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"ehclwtv","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"eh9jo5x","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"ehr2665","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"eha3c1q","type":"comment","source":"undef"},
{"year":"2019","month":"02","id":"eha5jlq","type":"comment","source":"undef"},
],
"GUM_reddit_introverts": [
{"year":"2019","month":"06","id":"by820m","type":"post","source":"undef","title_double": True}, # Possible title was repeated by annotator
{"year":"2019","month":"06","id":"eqeik8m","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqfgaeu","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqfplpg","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqg6a5u","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqh6j29","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqhjtwr","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqi2jl3","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqii2kf","type":"comment","source":"undef"},
{"year":"2019","month":"06","id":"eqhlj8j","type":"comment","source":"undef"},
],
"GUM_reddit_racial": [
{"year":"2019","month":"09","id":"d1urjk","type":"post","source":"undef"},
{"year":"2019","month":"09","id":"ezq9y6w","type":"comment","source":"bigquery"},
{"year":"2019","month":"09","id":"ezqpqmm","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezq8xs7","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezr55wk","type":"comment","source":"undef"},
],
"GUM_reddit_social": [
{"year":"2019","month":"09","id":"d1qy3g","type":"post","source":"undef"},
{"year":"2019","month":"09","id":"ezpb3jg","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpdmy3","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpjor8","type":"comment","source":"bigquery"},
{"year":"2019","month":"09","id":"ezpiozm","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpc1ps","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezp9fbh","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezqrumb","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpe0e6","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpf71f","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezt7qlf","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpc4jj","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpa2e4","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpfzql","type":"comment","source":"undef"},
{"year":"2019","month":"09","id":"ezpi39v","type":"comment","source":"undef"},
]
}
def underscore_files(filenames):
def underscore_rel_field(text):
blanked = []
text = text.replace("<*>","❤")
for c in text:
if c!="❤" and c!=" ":
blanked.append("_")
else:
blanked.append(c)
return "".join(blanked).replace("❤","<*>")
for f_path in filenames:
skiplen = 0
with io.open(f_path, 'r', encoding='utf8') as fin:
lines = fin.readlines()
with io.open(f_path, 'w', encoding='utf8', newline="\n") as fout:
output = []
if f_path.endswith(".rels"):
for l, line in enumerate(lines):
line = line.strip()
if "\t" in line and l > 0:
doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label = line.split("\t")
if "GUM" in doc and "reddit" not in doc:
output.append(line)
continue
unit1_txt = underscore_rel_field(unit1_txt)
unit2_txt = underscore_rel_field(unit2_txt)
unit1_sent = underscore_rel_field(unit1_sent)
unit2_sent = underscore_rel_field(unit2_sent)
fields = doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label
line = "\t".join(fields)
output.append(line)
else:
doc = ""
for line in lines:
line = line.strip()
if line.startswith("# newdoc_id"):
doc = line.split("=",maxsplit=1)[1].strip()
if "GUM" in doc and "reddit" not in doc:
output.append(line)
continue
if line.startswith("# text"):
m = re.match(r'(# text ?= ?)(.+)',line)
if m is not None:
line = m.group(1) + re.sub(r'[^\s]','_',m.group(2))
output.append(line)
elif "\t" in line:
fields = line.split("\t")
tok_col, lemma_col = fields[1:3]
if lemma_col == tok_col: # Delete lemma if identical to token
fields[2] = '_'
elif tok_col.lower() == lemma_col:
fields[2] = "*LOWER*"
if skiplen < 1:
fields[1] = len(tok_col)*'_'
else:
skiplen -=1
output.append("\t".join(fields))
if "-" in fields[0]: # Multitoken
start, end = fields[0].split("-")
start = int(start)
end = int(end)
skiplen = end - start + 1
else:
output.append(line)
fout.write('\n'.join(output) + "\n")
def get_no_space_strings(cache_dict):
import ast
no_space_docs = defaultdict(str)
for doc in gum_docs:
for post in gum_docs[doc]:
if post["id"] in cache_dict:
json_result = cache_dict[post["id"]]
parsed = ast.literal_eval(json_result)[0]
if post["type"]=="post":
plain = parsed["selftext"]
title = parsed["title"]
if "title_only" in post:
if post["title_only"]:
plain = ""
if "title_double" in post:
title = title + " " + title
else:
plain = parsed["body"]
title = ""
if "_space" in doc:
plain = plain.replace(">","") # GUM_reddit_space has formatting > to indicate indented block quotes
elif "_gender" in doc:
plain = plain.replace("- The vast","The vast")
plain = plain.replace("- Society already accommodates","Society already accommodates")
plain = plain.replace("- Society recognizes disabilities","Society recognizes disabilities")
plain = plain.replace("- It’s a waste of time","It’s a waste of time")
plain = plain.replace("PB&J","PB&J")
elif "_monsters" in doc:
plain = plain.replace("1. He refers to","a. He refers to")
plain = plain.replace("2. Using these","b. Using these")
plain = plain.replace("3. And he has","c. And he has")
plain = plain.replace("​ ​","")
plain = re.sub(r' [0-9]+\. ',' ',plain)
elif "_ring" in doc:
plain = plain.replace(">",">")
elif "_escape" in doc:
plain = plain.replace("*1 year later*","1 year later")
elif "_racial" in doc:
plain = plain.replace("> ","")
elif "_callout" in doc:
plain = plain.replace("_it","it").replace("well?_","well?").replace(">certain","certain")
elif "_conspiracy" in doc:
plain = plain.replace(">", "")
elif "_stroke" in doc:
plain = plain.replace("&", "&")
elif "_bobby" in doc:
plain = plain.replace("&", "&")
elif "_introvert" in doc:
plain = plain.replace("enjoy working out.","enjoy working out").replace("~~","")
elif "_social" in doc:
plain = plain.replace("the purpose","those purpose").replace("​","")
no_space = re.sub(r"\s","",plain).replace("*","")
no_space = re.sub(r'\[([^]]+)\]\([^)]+\)',r'\1',no_space) # Remove Wiki style links: [text](URL)
if no_space_docs[doc] == "":
no_space_docs[doc] += re.sub(r"\s","",title).replace("*","")
no_space_docs[doc] += no_space
return no_space_docs
def harvest_text(files):
"""
:param files: LDC files containing raw text data
:return: Dictionary of document base names (e.g. wsj_0013) to string of non-whitespace characters in the document
"""
docs = {}
for file_ in files:
docname = os.path.basename(file_)
if "." in docname:
docname = docname.split(".")[0]
try:
text = io.open(file_,encoding="utf8").read()
except:
text = io.open(file_,encoding="Latin1").read() # e.g. wsj_0142
text = text.replace(".START","") # Remove PDTB .START codes
text = re.sub(r'\s','', text) # Remove all whitespace
docs[docname] = text
return docs
def get_proxy_data():
import requests
out_posts = {}
tab_delim = requests.get("https://corpling.uis.georgetown.edu/gum/fetch_text_proxy.py").text
for line in tab_delim.split("\n"):
if "\t" in line:
post, text = line.split("\t")
out_posts[post] = text
return out_posts
def restore_docs(text_dict,dep_files=[],rel_files=[],tok_files=[]):
def restore_range(range_string, underscored, tid_dict):
output = []
tok_ids = []
range_strings = range_string.split(",")
for r in range_strings:
if "-" in r:
s, e = r.split("-")
tok_ids += list(range(int(s),int(e)+1))
else:
tok_ids.append(int(r))
for tok in underscored.split():
if tok == "<*>":
output.append(tok)
else:
tid = tok_ids.pop(0)
output.append(tid_dict[tid])
return " ".join(output)
skiplen = 0
token_dict = {}
tid2string = defaultdict(dict)
for file_ in dep_files + tok_files + rel_files:
lines = io.open(file_,encoding="utf8").readlines()
underscore_len = 0 # Must match doc_len at end of file processing
doc_len = 0
if file_.endswith(".rels") or file_ in rel_files:
output = []
violation_rows = []
for l, line in enumerate(lines):
line = line.strip()
if l > 0 and "\t" in line:
fields = line.split("\t")
docname = fields[0]
text = text_dict[docname]
if "GUM_" in docname and "reddit" not in docname: # Only Reddit documents need reconstruction in GUM
output.append(line)
continue
doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label = line.split("\t")
underscore_len += unit1_txt.count("_") + unit2_txt.count("_") + unit1_sent.count("_") + unit2_sent.count("_")
if underscore_len == 0:
sys.stderr.write("! Non-underscored file detected - " + os.path.basename(file_) + "\n")
sys.exit(0)
unit1_txt = restore_range(unit1_toks, unit1_txt, tid2string[docname])
unit2_txt = restore_range(unit2_toks, unit2_txt, tid2string[docname])
unit1_sent = restore_range(s1_toks, unit1_sent, tid2string[docname])
unit2_sent = restore_range(s2_toks, unit2_sent, tid2string[docname])
plain = unit1_txt + unit2_txt + unit1_sent + unit2_sent
plain = plain.replace("<*>","").replace(" ","")
doc_len += len(plain)
fields = doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label
line = "\t".join(fields)
if doc_len != underscore_len and len(violation_rows) == 0:
violation_rows.append(str(l) + ": " + line)
output.append(line)
else:
tokfile = True if ".tok" in file_ else False
output = []
parse_text = ""
docname = ""
for line in lines:
line = line.strip()
if "# newdoc_id " in line:
tid = 0
if parse_text !="":
if not tokfile:
token_dict[docname] = parse_text
parse_text = ""
docname = re.search(r'# newdoc_id ?= ?([^\s]+)',line).group(1)
if "GUM" in docname and "reddit" not in docname:
output.append(line)
continue
if docname not in text_dict:
raise IOError("! Text for document name " + docname + " not found.\n Please check that your LDC data contains the file for this document.\n")
if ".tok" in file_:
text = token_dict[docname]
else:
text = text_dict[docname]
doc_len = len(text)
underscore_len = 0
if "GUM" in docname and "reddit" not in docname:
output.append(line)
continue
if line.startswith("# text"):
m = re.match(r'(# ?text ?= ?)(.+)',line)
if m is not None:
i = 0
sent_text = ""
for char in m.group(2).strip():
if char != " ":
sent_text += text[i]
i+=1
else:
sent_text += " "
line = m.group(1) + sent_text
output.append(line)
elif "\t" in line:
fields = line.split("\t")
if skiplen < 1:
underscore_len += len(fields[1])
fields[1] = text[:len(fields[1])]
if not "-" in fields[0] and not "." in fields[0]:
parse_text += fields[1]
tid += 1
tid2string[docname][tid] = fields[1]
if not tokfile:
if fields[2] == '_' and not "-" in fields[0] and not "." in fields[0]:
fields[2] = fields[1]
elif fields[2] == "*LOWER*":
fields[2] = fields[1].lower()
if skiplen < 1:
text = text[len(fields[1]):]
else:
skiplen -=1
output.append("\t".join(fields))
if "-" in fields[0]: # Multitoken
start, end = fields[0].split("-")
start = int(start)
end = int(end)
skiplen = end - start + 1
else:
output.append(line)
if not doc_len == underscore_len:
if ".rels" in file_:
sys.stderr.write(
"\n! Tried to restore file " + os.path.basename(file_) + " but source text has different length than tokens in shared task file:\n" + \
" Source text in data/: " + str(doc_len) + " non-whitespace characters\n" + \
" Token underscores in " + file_ + ": " + str(underscore_len) + " non-whitespace characters\n" + \
" Violation row: " + violation_rows[0])
else:
sys.stderr.write("\n! Tried to restore document " + docname + " but source text has different length than tokens in shared task file:\n" + \
" Source text in data/: " + str(doc_len) + " non-whitespace characters\n" + \
" Token underscores in " + file_+": " + str(underscore_len) + " non-whitespace characters\n")
with io.open("debug.txt",'w',encoding="utf8") as f:
f.write(text_dict[docname])
f.write("\n\n\n")
f.write(parse_text)
sys.exit(0)
if not tokfile and parse_text != "":
token_dict[docname] = parse_text
with io.open(file_, 'w', encoding='utf8', newline="\n") as fout:
fout.write("\n".join(output) + "\n")
sys.stderr.write("o Restored text in " + str(len(dep_files)) + " .conllu files, " + str(len(tok_files)) +
" .tok files and "+ str(len(rel_files)) + " .rels files\n")
p = ArgumentParser()
p.add_argument("corpus",action="store",choices=["rstdt","pdtb","cdtb","tdb","gum","all"],default="all",help="Name of the corpus to process or 'all'")
p.add_argument("--rel_files", nargs='*', default=[])
p.add_argument("--dep_files", nargs='*', default=[])
p.add_argument("--tok_files", nargs='*', default=[])
opts = p.parse_args()
todo = {k:v for k,v in vars(opts).items() if 'files' in k}
# Prompt user for corpus folders
if opts.corpus == "rstdt" or opts.corpus == "all":
rstdt_path = input("Enter path for LDC RST-DT data/ folder:\n> ")
if not os.path.isdir(rstdt_path):
sys.stderr.write("Can't find directory at: " + rstdt_path + "\n")
sys.exit(0)
files = glob(os.sep.join([rstdt_path,"RSTtrees-WSJ-main-1.0","TRAINING","*.edus"])) + glob(os.sep.join([rstdt_path,"RSTtrees-WSJ-main-1.0","TEST","*.edus"]))
docs2text = harvest_text(files)
restore_docs(docs2text,**todo)
if opts.corpus == "pdtb" or opts.corpus == "all":
pdtb_path = input("Enter path for LDC Treebank 2 raw/wsj/ folder:\n> ")
if not os.path.isdir(pdtb_path):
sys.stderr.write("Can't find directory at: " + pdtb_path + "\n")
sys.exit(0)
files = []
for i in range(0,25):
dir_name = str(i) if i > 9 else "0" + str(i)
files += glob(os.sep.join([pdtb_path,dir_name,"wsj_*"]))
docs2text = harvest_text(files)
restore_docs(docs2text,**todo)
if opts.corpus == "cdtb" or opts.corpus == "all":
cdtb_path = input("Enter path for LDC Chinese Discourse Treebank 0.5 raw/ folder:\n> ")
if not os.path.isdir(cdtb_path):
sys.stderr.write("Can't find directory at: " + cdtb_path + "\n")
sys.exit(0)
files = glob(os.sep.join([cdtb_path,"*.raw"]))
docs2text = harvest_text(files)
restore_docs(docs2text,**todo)
if opts.corpus == "tdb" or opts.corpus == "all":
tdb_path = input("Enter path for Turkish Discourse Bank 1.0 raw/01/ folder:\n> ")
if not os.path.isdir(tdb_path):
sys.stderr.write("Can't find directory at: " + tdb_path + "\n")
sys.exit(0)
files = glob(os.sep.join([tdb_path,"*.txt"]))
docs2text = harvest_text(files)
restore_docs(docs2text,**todo)
if opts.corpus == "gum" or opts.corpus == "all":
print("Retrieving reddit data by proxy...")
data = get_proxy_data()
docs2text = get_no_space_strings(data)
restore_docs(docs2text,**todo)
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