mirror of https://github.com/explosion/spaCy.git
155 lines
6.4 KiB
Python
155 lines
6.4 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import bz2
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import json
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import logging
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from bin.wiki_entity_linking.wiki_namespaces import WD_META_ITEMS
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logger = logging.getLogger(__name__)
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def read_wikidata_entities_json(wikidata_file, limit=None, to_print=False, lang="en", parse_descr=True):
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# Read the JSON wiki data and parse out the entities. Takes about 7-10h to parse 55M lines.
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# get latest-all.json.bz2 from https://dumps.wikimedia.org/wikidatawiki/entities/
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site_filter = '{}wiki'.format(lang)
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# filter: currently defined as OR: one hit suffices to be removed from further processing
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exclude_list = WD_META_ITEMS
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# punctuation
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exclude_list.extend(["Q1383557", "Q10617810"])
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# letters etc
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exclude_list.extend(["Q188725", "Q19776628", "Q3841820", "Q17907810", "Q9788", "Q9398093"])
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neg_prop_filter = {
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'P31': exclude_list, # instance of
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'P279': exclude_list # subclass
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}
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title_to_id = dict()
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id_to_descr = dict()
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id_to_alias = dict()
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# parse appropriate fields - depending on what we need in the KB
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parse_properties = False
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parse_sitelinks = True
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parse_labels = False
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parse_aliases = True
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parse_claims = True
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with bz2.open(wikidata_file, mode='rb') as file:
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for cnt, line in enumerate(file):
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if limit and cnt >= limit:
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break
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if cnt % 500000 == 0 and cnt > 0:
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logger.info("processed {} lines of WikiData JSON dump".format(cnt))
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clean_line = line.strip()
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if clean_line.endswith(b","):
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clean_line = clean_line[:-1]
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if len(clean_line) > 1:
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obj = json.loads(clean_line)
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entry_type = obj["type"]
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if entry_type == "item":
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keep = True
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claims = obj["claims"]
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if parse_claims:
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for prop, value_set in neg_prop_filter.items():
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claim_property = claims.get(prop, None)
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if claim_property:
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for cp in claim_property:
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cp_id = (
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cp["mainsnak"]
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.get("datavalue", {})
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.get("value", {})
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.get("id")
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)
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cp_rank = cp["rank"]
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if cp_rank != "deprecated" and cp_id in value_set:
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keep = False
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if keep:
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unique_id = obj["id"]
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if to_print:
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print("ID:", unique_id)
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print("type:", entry_type)
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# parsing all properties that refer to other entities
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if parse_properties:
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for prop, claim_property in claims.items():
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cp_dicts = [
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cp["mainsnak"]["datavalue"].get("value")
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for cp in claim_property
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if cp["mainsnak"].get("datavalue")
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]
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cp_values = [
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cp_dict.get("id")
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for cp_dict in cp_dicts
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if isinstance(cp_dict, dict)
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if cp_dict.get("id") is not None
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]
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if cp_values:
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if to_print:
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print("prop:", prop, cp_values)
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found_link = False
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if parse_sitelinks:
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site_value = obj["sitelinks"].get(site_filter, None)
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if site_value:
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site = site_value["title"]
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if to_print:
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print(site_filter, ":", site)
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title_to_id[site] = unique_id
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found_link = True
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if parse_labels:
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labels = obj["labels"]
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if labels:
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lang_label = labels.get(lang, None)
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if lang_label:
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if to_print:
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print(
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"label (" + lang + "):", lang_label["value"]
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)
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if found_link and parse_descr:
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descriptions = obj["descriptions"]
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if descriptions:
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lang_descr = descriptions.get(lang, None)
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if lang_descr:
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if to_print:
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print(
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"description (" + lang + "):",
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lang_descr["value"],
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)
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id_to_descr[unique_id] = lang_descr["value"]
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if parse_aliases:
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aliases = obj["aliases"]
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if aliases:
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lang_aliases = aliases.get(lang, None)
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if lang_aliases:
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for item in lang_aliases:
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if to_print:
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print(
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"alias (" + lang + "):", item["value"]
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)
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alias_list = id_to_alias.get(unique_id, [])
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alias_list.append(item["value"])
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id_to_alias[unique_id] = alias_list
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if to_print:
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print()
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# log final number of lines processed
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logger.info("Finished. Processed {} lines of WikiData JSON dump".format(cnt))
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return title_to_id, id_to_descr, id_to_alias
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