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""" |
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process_underscores.py |
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|
|
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. |
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python process_underscores.py gum --rel_files /root/.cache/huggingface/datasets/downloads/a59f7db26e03978a86f53aa481af30f68699dde7ff4782562a18f81d33a10c63 --dep_files /root/.cache/huggingface/datasets/downloads/afbcb3a0d2a43e55d1437c7ba2843486c747c79d486de7ceac566a8e959d59e2 |
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""" |
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|
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__author__ = "Amir Zeldes+Damien Sileo" |
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__license__ = "Apache 2.0" |
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__version__ = "2.0.0" |
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|
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import io, re, os, sys |
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from glob import glob |
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from collections import defaultdict |
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from argparse import ArgumentParser |
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|
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PY3 = sys.version_info[0] == 3 |
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if not PY3: |
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input = raw_input |
|
|
|
|
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gum_docs = { |
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"GUM_reddit_macroeconomics": [ |
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{"year": "2017", "month": "09", "id": "6zm74h", "type": "post","source":"undef"}, |
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{"year": "2017", "month": "09", "id": "dmwwqlt", "type":"comment","source":"undef"} |
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], |
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"GUM_reddit_stroke": [ |
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{"year": "2017", "month": "08", "id": "6ws3eh", "type": "post","source":"undef"}, |
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{"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"}, |
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{"year": "2017", "month": "08", "id": "dmaoodn", "type":"comment","source":"undef"} |
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], |
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"GUM_reddit_polygraph": [ |
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{"year": "2014", "month": "12", "id": "2q6qnv", "type": "post","source":"undef"} |
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], |
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"GUM_reddit_ring": [ |
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{"year": "2016", "month": "09", "id": "5570x1", "type": "post","source":"undef"}, |
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{"year": "2016", "month": "09", "id": "d885ma0", "type":"comment","source":"undef"}, |
|
{"year": "2016", "month": "09", "id": "d8880w7", "type":"comment","source":"undef"}, |
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{"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"}, |
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{"year": "2016", "month": "10", "id": "d88zt6x", "type":"comment","source":"undef"} |
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], |
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"GUM_reddit_space": [ |
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{"year": "2016", "month": "08", "id": "50hx5c", "type": "post","source":"undef"}, |
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{"year": "2016", "month": "08", "id": "d7471k5", "type":"comment","source":"undef"}, |
|
{"year": "2016", "month": "08", "id": "d74i5ka", "type":"comment","source":"undef"}, |
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{"year": "2016", "month": "08", "id": "d74ppi0", "type":"comment","source":"undef"} |
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], |
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"GUM_reddit_superman": [ |
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|
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{"year": "2017", "month": "05", "id": "dgys1z8", "type":"comment","source":"undef"} |
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], |
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"GUM_reddit_bobby": [ |
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{"year":"2018","month":"06","id":"8ph56q","type": "post","source":"undef"}, |
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{"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"} |
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], |
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"GUM_reddit_escape": [ |
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{"year":"2017","month":"05","id":"69r98j","type": "post","source":"undef"}, |
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{"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"}, |
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{"year":"2017","month":"06","id":"din85zf","type":"comment","source":"undef"}, |
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{"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"}, |
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{"year":"2017","month":"06","id":"diz97qy","type":"comment"} |
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], |
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"GUM_reddit_gender": [ |
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{"year":"2018","month":"09","id":"9e5urs","type":"post","source":"bigquery"}, |
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{"year":"2018","month":"09","id":"e5mg3s7","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5mkpok","type":"comment","source":"bigquery"}, |
|
{"year":"2018","month":"09","id":"e5nxbmb","type":"comment","source":"bigquery"}, |
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{"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"}, |
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{"year":"2018","month":"09","id":"e5ms5u3","type":"comment","source":"undef"} |
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], |
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"GUM_reddit_monsters":[ |
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{"year":"2018","month":"09","id":"9eci2u","type":"post","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5ox2jr","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5p3gtl","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5pnfro","type":"comment","source":"undef"}, |
|
{"year":"2018","month":"09","id":"e5q08o4","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5pney1","type":"comment","source":"undef"}, |
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], |
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"GUM_reddit_pandas":[ |
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{"year":"2018","month":"09","id":"9e3s9h","type":"post","source":"undef"}, |
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{"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"}, |
|
{"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"}, |
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{"year":"2018","month":"09","id":"e5m2n80","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m2wrh","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m3blb","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5lvxoc","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m1abg","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m1w5i","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m3pdi","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m3ruf","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m4yu2","type":"comment","source":"undef"}, |
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{"year":"2018","month":"09","id":"e5m5bcb","type":"comment","source":"undef"} |
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], |
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"GUM_reddit_steak": [ |
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{"year":"2015","month":"08","id":"3im341","type":"post","source":"undef"} |
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], |
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"GUM_reddit_card": [ |
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{"year":"2019","month":"08","id":"cmqrwo","type":"post","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew3zrqg","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew43d2c","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew43oks","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew43ymc","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew46h1p","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew46oly","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew46wq7","type":"comment","source":"undef"}, |
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{"year":"2019","month":"08","id":"ew470zc","type":"comment","source":"undef"} |
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], |
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"GUM_reddit_callout": [ |
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{"year":"2019","month":"09","id":"d1eg3u","type":"post","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezkucpg","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezkv0cc","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezkwbx9","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezlh2o6","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezlkajf","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezlnco2","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezo20yy","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezkwcvh","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezl07dm","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezmajm7","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezl1wz3","type":"comment","source":"undef"}, |
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], |
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"GUM_reddit_conspiracy": [ |
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{"year":"2019","month":"02","id":"aumhwo","type":"post","source":"undef"}, |
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{"year":"2019","month":"02","id":"eh9rt0n","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"eh9tvyw","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"ehc0l2q","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"ehclwtv","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"eh9jo5x","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"ehr2665","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"eha3c1q","type":"comment","source":"undef"}, |
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{"year":"2019","month":"02","id":"eha5jlq","type":"comment","source":"undef"}, |
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], |
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"GUM_reddit_introverts": [ |
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{"year":"2019","month":"06","id":"by820m","type":"post","source":"undef","title_double": True}, |
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{"year":"2019","month":"06","id":"eqeik8m","type":"comment","source":"undef"}, |
|
{"year":"2019","month":"06","id":"eqfgaeu","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqfplpg","type":"comment","source":"undef"}, |
|
{"year":"2019","month":"06","id":"eqg6a5u","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqh6j29","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqhjtwr","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqi2jl3","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqii2kf","type":"comment","source":"undef"}, |
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{"year":"2019","month":"06","id":"eqhlj8j","type":"comment","source":"undef"}, |
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|
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], |
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"GUM_reddit_racial": [ |
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{"year":"2019","month":"09","id":"d1urjk","type":"post","source":"undef"}, |
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{"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"}, |
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{"year":"2019","month":"09","id":"ezr55wk","type":"comment","source":"undef"}, |
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], |
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"GUM_reddit_social": [ |
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{"year":"2019","month":"09","id":"d1qy3g","type":"post","source":"undef"}, |
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{"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"}, |
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{"year":"2019","month":"09","id":"ezpc1ps","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezp9fbh","type":"comment","source":"undef"}, |
|
{"year":"2019","month":"09","id":"ezqrumb","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezpe0e6","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezpf71f","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezt7qlf","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezpc4jj","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezpa2e4","type":"comment","source":"undef"}, |
|
{"year":"2019","month":"09","id":"ezpfzql","type":"comment","source":"undef"}, |
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{"year":"2019","month":"09","id":"ezpi39v","type":"comment","source":"undef"}, |
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] |
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} |
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|
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def underscore_files(filenames): |
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def underscore_rel_field(text): |
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blanked = [] |
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text = text.replace("<*>","❤") |
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for c in text: |
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if c!="❤" and c!=" ": |
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blanked.append("_") |
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else: |
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blanked.append(c) |
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return "".join(blanked).replace("❤","<*>") |
|
|
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for f_path in filenames: |
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skiplen = 0 |
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with io.open(f_path, 'r', encoding='utf8') as fin: |
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lines = fin.readlines() |
|
|
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with io.open(f_path, 'w', encoding='utf8', newline="\n") as fout: |
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output = [] |
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if f_path.endswith(".rels"): |
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for l, line in enumerate(lines): |
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line = line.strip() |
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if "\t" in line and l > 0: |
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doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label = line.split("\t") |
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if "GUM" in doc and "reddit" not in doc: |
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output.append(line) |
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continue |
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unit1_txt = underscore_rel_field(unit1_txt) |
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unit2_txt = underscore_rel_field(unit2_txt) |
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unit1_sent = underscore_rel_field(unit1_sent) |
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unit2_sent = underscore_rel_field(unit2_sent) |
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fields = doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label |
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line = "\t".join(fields) |
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output.append(line) |
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else: |
|
doc = "" |
|
for line in lines: |
|
line = line.strip() |
|
if line.startswith("# newdoc_id"): |
|
doc = line.split("=",maxsplit=1)[1].strip() |
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if "GUM" in doc and "reddit" not in doc: |
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output.append(line) |
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continue |
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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: |
|
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]: |
|
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(">","") |
|
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) |
|
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 |
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:return: Dictionary of document base names (e.g. wsj_0013) to string of non-whitespace characters in the document |
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""" |
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docs = {} |
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for file_ in files: |
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docname = os.path.basename(file_) |
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if "." in docname: |
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docname = docname.split(".")[0] |
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try: |
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text = io.open(file_,encoding="utf8").read() |
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except: |
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text = io.open(file_,encoding="Latin1").read() |
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text = text.replace(".START","") |
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text = re.sub(r'\s','', text) |
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docs[docname] = text |
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return docs |
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def get_proxy_data(): |
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import requests |
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out_posts = {} |
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tab_delim = requests.get("https://corpling.uis.georgetown.edu/gum/fetch_text_proxy.py").text |
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for line in tab_delim.split("\n"): |
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if "\t" in line: |
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post, text = line.split("\t") |
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out_posts[post] = text |
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return out_posts |
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def restore_docs(text_dict,dep_files=[],rel_files=[],tok_files=[]): |
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def restore_range(range_string, underscored, tid_dict): |
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output = [] |
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tok_ids = [] |
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range_strings = range_string.split(",") |
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for r in range_strings: |
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if "-" in r: |
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s, e = r.split("-") |
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tok_ids += list(range(int(s),int(e)+1)) |
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else: |
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tok_ids.append(int(r)) |
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for tok in underscored.split(): |
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if tok == "<*>": |
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output.append(tok) |
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else: |
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tid = tok_ids.pop(0) |
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output.append(tid_dict[tid]) |
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return " ".join(output) |
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skiplen = 0 |
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token_dict = {} |
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tid2string = defaultdict(dict) |
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for file_ in dep_files + tok_files + rel_files: |
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lines = io.open(file_,encoding="utf8").readlines() |
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underscore_len = 0 |
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doc_len = 0 |
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if file_.endswith(".rels") or file_ in rel_files: |
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output = [] |
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violation_rows = [] |
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for l, line in enumerate(lines): |
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line = line.strip() |
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if l > 0 and "\t" in line: |
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fields = line.split("\t") |
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docname = fields[0] |
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text = text_dict[docname] |
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if "GUM_" in docname and "reddit" not in docname: |
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output.append(line) |
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continue |
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doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label = line.split("\t") |
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underscore_len += unit1_txt.count("_") + unit2_txt.count("_") + unit1_sent.count("_") + unit2_sent.count("_") |
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if underscore_len == 0: |
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sys.stderr.write("! Non-underscored file detected - " + os.path.basename(file_) + "\n") |
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sys.exit(0) |
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unit1_txt = restore_range(unit1_toks, unit1_txt, tid2string[docname]) |
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unit2_txt = restore_range(unit2_toks, unit2_txt, tid2string[docname]) |
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unit1_sent = restore_range(s1_toks, unit1_sent, tid2string[docname]) |
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unit2_sent = restore_range(s2_toks, unit2_sent, tid2string[docname]) |
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plain = unit1_txt + unit2_txt + unit1_sent + unit2_sent |
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plain = plain.replace("<*>","").replace(" ","") |
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doc_len += len(plain) |
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fields = doc, unit1_toks, unit2_toks, unit1_txt, unit2_txt, s1_toks, s2_toks, unit1_sent, unit2_sent, direction, orig_label, label |
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line = "\t".join(fields) |
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if doc_len != underscore_len and len(violation_rows) == 0: |
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violation_rows.append(str(l) + ": " + line) |
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output.append(line) |
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else: |
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tokfile = True if ".tok" in file_ else False |
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output = [] |
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parse_text = "" |
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docname = "" |
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for line in lines: |
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line = line.strip() |
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if "# newdoc_id " in line: |
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tid = 0 |
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if parse_text !="": |
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if not tokfile: |
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token_dict[docname] = parse_text |
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parse_text = "" |
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docname = re.search(r'# newdoc_id ?= ?([^\s]+)',line).group(1) |
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if "GUM" in docname and "reddit" not in docname: |
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output.append(line) |
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continue |
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if docname not in text_dict: |
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raise IOError("! Text for document name " + docname + " not found.\n Please check that your LDC data contains the file for this document.\n") |
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if ".tok" in file_: |
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text = token_dict[docname] |
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else: |
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text = text_dict[docname] |
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doc_len = len(text) |
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underscore_len = 0 |
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|
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if "GUM" in docname and "reddit" not in docname: |
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output.append(line) |
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continue |
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|
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if line.startswith("# text"): |
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m = re.match(r'(# ?text ?= ?)(.+)',line) |
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if m is not None: |
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i = 0 |
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sent_text = "" |
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for char in m.group(2).strip(): |
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if char != " ": |
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sent_text += text[i] |
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i+=1 |
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else: |
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sent_text += " " |
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line = m.group(1) + sent_text |
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output.append(line) |
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elif "\t" in line: |
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fields = line.split("\t") |
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if skiplen < 1: |
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underscore_len += len(fields[1]) |
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fields[1] = text[:len(fields[1])] |
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if not "-" in fields[0] and not "." in fields[0]: |
|
parse_text += fields[1] |
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tid += 1 |
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tid2string[docname][tid] = fields[1] |
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if not tokfile: |
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if fields[2] == '_' and not "-" in fields[0] and not "." in fields[0]: |
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fields[2] = fields[1] |
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elif fields[2] == "*LOWER*": |
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fields[2] = fields[1].lower() |
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if skiplen < 1: |
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text = text[len(fields[1]):] |
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else: |
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skiplen -=1 |
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output.append("\t".join(fields)) |
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if "-" in fields[0]: |
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start, end = fields[0].split("-") |
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start = int(start) |
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end = int(end) |
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skiplen = end - start + 1 |
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else: |
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output.append(line) |
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|
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if not doc_len == underscore_len: |
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if ".rels" in file_: |
|
sys.stderr.write( |
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"\n! Tried to restore file " + os.path.basename(file_) + " but source text has different length than tokens in shared task file:\n" + \ |
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" Source text in data/: " + str(doc_len) + " non-whitespace characters\n" + \ |
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" Token underscores in " + file_ + ": " + str(underscore_len) + " non-whitespace characters\n" + \ |
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" Violation row: " + violation_rows[0]) |
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else: |
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sys.stderr.write("\n! Tried to restore document " + docname + " but source text has different length than tokens in shared task file:\n" + \ |
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" Source text in data/: " + str(doc_len) + " non-whitespace characters\n" + \ |
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" Token underscores in " + file_+": " + str(underscore_len) + " non-whitespace characters\n") |
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with io.open("debug.txt",'w',encoding="utf8") as f: |
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f.write(text_dict[docname]) |
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f.write("\n\n\n") |
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f.write(parse_text) |
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sys.exit(0) |
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if not tokfile and parse_text != "": |
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token_dict[docname] = parse_text |
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with io.open(file_, 'w', encoding='utf8', newline="\n") as fout: |
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fout.write("\n".join(output) + "\n") |
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|
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sys.stderr.write("o Restored text in " + str(len(dep_files)) + " .conllu files, " + str(len(tok_files)) + |
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" .tok files and "+ str(len(rel_files)) + " .rels files\n") |
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|
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p = ArgumentParser() |
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p.add_argument("corpus",action="store",choices=["rstdt","pdtb","cdtb","tdb","gum","all"],default="all",help="Name of the corpus to process or 'all'") |
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p.add_argument("--rel_files", nargs='*', default=[]) |
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p.add_argument("--dep_files", nargs='*', default=[]) |
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p.add_argument("--tok_files", nargs='*', default=[]) |
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opts = p.parse_args() |
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todo = {k:v for k,v in vars(opts).items() if 'files' in k} |
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if opts.corpus == "rstdt" or opts.corpus == "all": |
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rstdt_path = input("Enter path for LDC RST-DT data/ folder:\n> ") |
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if not os.path.isdir(rstdt_path): |
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sys.stderr.write("Can't find directory at: " + rstdt_path + "\n") |
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sys.exit(0) |
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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"])) |
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docs2text = harvest_text(files) |
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restore_docs(docs2text,**todo) |
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if opts.corpus == "pdtb" or opts.corpus == "all": |
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pdtb_path = input("Enter path for LDC Treebank 2 raw/wsj/ folder:\n> ") |
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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_*"])) |
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docs2text = harvest_text(files) |
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restore_docs(docs2text,**todo) |
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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) |
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restore_docs(docs2text,**todo) |
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if opts.corpus == "tdb" or opts.corpus == "all": |
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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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|
