initial data dump
Browse files- data/article_tags.parquet +3 -0
- data/articles.parquet +3 -0
- data/bib_books.parquet +3 -0
- data/cities.parquet +3 -0
- data/current_events.parquet +3 -0
- data/ethnics.parquet +3 -0
- data/glossary.parquet +3 -0
- data/historical_events.parquet +3 -0
- data/issues.parquet +3 -0
- data/languages.parquet +3 -0
- data/organisations.parquet +3 -0
- data/papers.parquet +3 -0
- data/people.parquet +3 -0
- data/provinces.parquet +3 -0
- data/region_tree.parquet +3 -0
- data/renderbackgrounder.parquet +3 -0
- data/top_topics.parquet +3 -0
- data/topic.parquet +3 -0
- data/types.parquet +3 -0
- scripts/parquet_explorer.py +28 -0
data/article_tags.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:122784240f54e853dfafc6e65d1ad6e56da26f92ef7097e0c403a27d45e9029d
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size 56305
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data/articles.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7acfba137078c86721acd42d9efdf789f66b21807d67052f065cb80a4036490
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size 8424321
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data/bib_books.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b726cbc3dae237261c59e6e0f0456fcd2c531c47e467ce0efb0c1ea2980a080
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size 15293
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data/cities.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:261250474834aae93ddb7cb4fb61ac9d9ab7aaaef37d3234237085dc91f9733d
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size 43172
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data/current_events.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab38580fba669ef15a92923749c0b0a7a5227e318bc7a362d428c93c2606c639
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size 11768
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data/ethnics.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:46088fb0b8671abac7b6e0959a1ffdb759d08c369299971b291c0a9d25c65aa4
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size 20005
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data/glossary.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f4f7286c61286704f6f99345584d481c9453c155e27cbe3546edad306f7ebc5
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size 43426
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data/historical_events.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:07b4065de2b89e98c6649b8b38ab1f044a0715abec63abc6878d3915f80377d8
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size 8367
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data/issues.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6e8db4a0db4eb657532d9f6c6b24bb83f0fdf66d94e78889cd6f1ffc2329460
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size 27173
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data/languages.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:10bb657ad91e693569a7092f6de74d426a29e31e557396b67a3e40731d06f3db
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size 26595
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data/organisations.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:4801abf0b48a8de6feb4f39db6d4281c8df2357f88b514d7dff75a1121703c5d
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size 121920
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data/papers.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:de9ea7ccb6a79fbb6706569dcc1ae52cae73474b5afe485e09e0055eae2d18d0
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size 76978
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data/people.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:737abdfe169a29fd8691b0acb2aaa4d44dcbc67447c4d75fc0545744f03f73a1
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size 255663
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data/provinces.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:38f9f74612032f69f84783d3de151fb249f80fe40053debc5f5101dee44c5a57
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size 73082
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data/region_tree.parquet
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version https://git-lfs.github.com/spec/v1
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size 28799
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data/renderbackgrounder.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8b0cd6707bd4dd24b623410122ffe9a00f692472b214d1f5826ffa235648153
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size 530089
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data/top_topics.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:900b460c4d006874938f3485c50f726c481f8ae1e8b8173678bf44f20ee1b903
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size 2330
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data/topic.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:1efa711d06e33ed688c379f4390f7fe429b1fab685146f1045a6a6251579cbfe
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size 3578
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data/types.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f1aedd825433197a26aa90d6e06d24def41be06ded68ccfb739fd5f19e6b0a
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size 2642
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scripts/parquet_explorer.py
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import pyarrow.parquet as pq
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# Path to the Parquet file
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parquet_file = "/Users/strickvl/coding/afghanwire/afghanwire/data/articles.parquet"
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# Read the Parquet file
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table = pq.read_table(parquet_file)
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# Check if the 'comment' and 'translatorcomment' columns exist
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column_names = table.schema.names
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if 'comment' in column_names and 'translatorcomment' in column_names:
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# Get the 'comment' and 'translatorcomment' columns
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comments = table.column('comment').to_pylist()
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translator_comments = table.column('translatorcomment').to_pylist()
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# Print the contents of the columns, skipping null or empty values
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print("Contents of the 'comment' column:")
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for i, comment in enumerate(comments):
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if comment and comment.strip(): # Check if the comment is not null or empty
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print(f"Row {i}: {comment}")
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# print("\nContents of the 'translatorcomment' column:")
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# for i, translator_comment in enumerate(translator_comments):
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# if translator_comment and translator_comment.strip(): # Check if the translator comment is not null or empty
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# print(f"Row {i}: {translator_comment}")
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else:
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print("The 'comment' and/or 'translatorcomment' columns do not exist in the Parquet file.")
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