""" 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. """ __author__ = "Amir Zeldes+Damien Sileo" __license__ = "Apache 2.0" __version__ = "0.0.0" import io, re, os, sys from glob import glob from collections import defaultdict from argparse import ArgumentParser class EDict(dict): def __getattr__(self, k): return self.get(k, None) def __setattr__(self, k, v): self[k] = v def __delattr__(self, k): del self[k] 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: continue print('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") def run(corpus="all", rel_files=[], dep_files=[], tok_files=[], rstdt_path=None, pdtb_path=None, cdtb_path=None, tdb_path=None): opts = EDict(corpus=corpus, rel_files=rel_files, dep_files=dep_files, tok_files=tok_files) todo = {k: v for k, v in opts.items() if 'files' in k} if opts.corpus == "rstdt" or opts.corpus == "all": if rstdt_path is None: raise ValueError("rstdt_path is required for corpus rstdt") 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": if pdtb_path is None: raise ValueError("pdtb_path is required for corpus pdtb") 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": if cdtb_path is None: raise ValueError("cdtb_path is required for corpus cdtb") 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": if tdb_path is None: raise ValueError("tdb_path is required for corpus tdb") 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)