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import duckdb as duckdb |
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import pandas as pd |
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import tabulate |
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from datasets import load_dataset |
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cursor = duckdb.connect() |
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cursor.execute("PRAGMA threads=4") |
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NROWS = 100000000 |
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NA_VALUES = "\\N" |
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dataset = load_dataset("open_subtitles", lang1="en", lang2="nl", split="train") |
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open_subtitles = dataset.data.table |
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print( |
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tabulate.tabulate( |
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cursor.execute(f"SELECT * FROM open_subtitles LIMIT 5").fetchdf(), |
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headers="keys", |
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tablefmt="psql", |
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) |
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) |
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title_basics = pd.read_csv( |
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"title.basics.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS |
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) |
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basics_df = cursor.execute("SELECT * from title_basics limit 5").fetch_df() |
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print(tabulate.tabulate(basics_df, headers="keys", tablefmt="psql")) |
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title_episodes = pd.read_csv( |
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"title.episode.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS |
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) |
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episodes_df = cursor.execute("SELECT * from title_episodes limit 5").fetch_df() |
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print(tabulate.tabulate(episodes_df, headers="keys", tablefmt="psql")) |
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title_ratings = pd.read_csv( |
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"title.ratings.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS |
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) |
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ratings_df = cursor.execute("SELECT * from title_ratings limit 5").fetch_df() |
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print(tabulate.tabulate(ratings_df, headers="keys", tablefmt="psql")) |
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episode_detail = cursor.execute( |
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""" |
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SELECT |
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open_subtitles.id, |
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open_subtitles.translation, |
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open_subtitles.meta, |
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title_basics.tconst, |
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title_basics.primaryTitle, |
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title_basics.startYear, |
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title_basics.endYear, |
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title_basics.genres, |
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title_basics.runtimeMinutes, |
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title_basics.titleType, |
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title_basics.isAdult, |
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title_ratings.tconst AS rating_tconst, |
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title_ratings.averageRating, |
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title_ratings.numVotes, |
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title_episodes.tconst as episode_tconst, |
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title_episodes.parentTconst, |
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title_episodes.seasonNumber, |
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title_episodes.episodeNumber |
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FROM |
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title_episodes |
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INNER JOIN |
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title_basics |
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ON |
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title_episodes.parentTconst = title_basics.tconst |
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INNER JOIN |
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title_ratings |
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ON |
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title_episodes.tconst = title_ratings.tconst |
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INNER JOIN |
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open_subtitles |
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ON |
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title_episodes.tconst = 'tt' || open_subtitles.meta.imdbId |
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WHERE isAdult == 0 |
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and averageRating > 8.0 |
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and numVotes > 1000 |
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ORDER BY startYear, episode_tconst, seasonNumber, episodeNumber, meta.sentenceIds.en |
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""" |
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).fetch_df() |
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print(tabulate.tabulate(episode_detail[:5], headers="keys", tablefmt="psql")) |
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episode_detail.to_json("episode_opensubtitles.json", orient="records", lines=True) |
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