Datasets:
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import duckdb as duckdb
import pandas as pd
import tabulate
from datasets import load_dataset
cursor = duckdb.connect()
cursor.execute("PRAGMA threads=4")
NROWS = 100000000
NA_VALUES = "\\N"
dataset = load_dataset("open_subtitles", lang1="en", lang2="nl", split="train")
open_subtitles = dataset.data.table
print(
tabulate.tabulate(
cursor.execute(f"SELECT * FROM open_subtitles LIMIT 5").fetchdf(),
headers="keys",
tablefmt="psql",
)
)
# title_akas = pd.read_csv('title.akas.tsv.gz', sep='\t', na_values=NA_VALUES, nrows=NROWS)
# title_df = cursor.execute("SELECT * from title_akas limit 5").fetch_df()
# print(tabulate.tabulate(title_df, headers="keys", tablefmt="psql"))
title_basics = pd.read_csv(
"title.basics.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS
)
basics_df = cursor.execute("SELECT * from title_basics limit 5").fetch_df()
print(tabulate.tabulate(basics_df, headers="keys", tablefmt="psql"))
title_episodes = pd.read_csv(
"title.episode.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS
)
episodes_df = cursor.execute("SELECT * from title_episodes limit 5").fetch_df()
print(tabulate.tabulate(episodes_df, headers="keys", tablefmt="psql"))
title_ratings = pd.read_csv(
"title.ratings.tsv.gz", sep="\t", na_values=NA_VALUES, nrows=NROWS
)
ratings_df = cursor.execute("SELECT * from title_ratings limit 5").fetch_df()
print(tabulate.tabulate(ratings_df, headers="keys", tablefmt="psql"))
# # FIGURE OUT HOW WE CAN JOIN THE SUBTITLE DATASET WITH THE IMDB DATASET
# count_join_subtitle_title_akas = cursor.execute(
# """
# SELECT COUNT(*) FROM open_subtitles JOIN title_akas ON 'tt' || open_subtitles.meta.imdbId = title_akas.titleId
# """
# ).fetchall()
# print(f"Count join subtitle title akas: {count_join_subtitle_title_akas}")
#
# count_join_subtitle_title_basics = cursor.execute(
# """
# SELECT COUNT(*) FROM open_subtitles JOIN title_basics ON 'tt' || open_subtitles.meta.imdbId = title_basics.tconst
# """
# ).fetchdf()
# print(f"Count join subtitle title basics: {count_join_subtitle_title_basics}")
#
# count_join_subtitle_title_episodes = cursor.execute(
# """
# SELECT COUNT(*) FROM open_subtitles JOIN title_episodes ON 'tt' || open_subtitles.meta.imdbId = title_episodes.tconst
# """
# ).fetchdf()
# print(f"Count join subtitle title episodes: {count_join_subtitle_title_episodes}")
#
# count_join_subtitle_title_episodes_parent = cursor.execute(
# """
# SELECT COUNT(*) FROM open_subtitles JOIN title_episodes ON 'tt' || open_subtitles.meta.imdbId = title_episodes.parentTconst
# """
# ).fetchdf()
# print(f"Count join subtitle title episodes parent: {count_join_subtitle_title_episodes_parent}")
#
# count_join_subtitle_title_ratings = cursor.execute(
# """
# SELECT COUNT(*) FROM open_subtitles JOIN title_ratings ON 'tt' || open_subtitles.meta.imdbId = title_ratings.tconst
# """
# ).fetchdf()
# print(f"Count join subtitle title ratings: {count_join_subtitle_title_ratings}")
# join title_episode with its parent title_basics and title_ratings
episode_detail = cursor.execute(
"""
SELECT
open_subtitles.id,
open_subtitles.translation,
open_subtitles.meta,
title_basics.tconst,
title_basics.primaryTitle,
title_basics.startYear,
title_basics.endYear,
title_basics.genres,
title_basics.runtimeMinutes,
title_basics.titleType,
title_basics.isAdult,
title_ratings.tconst AS rating_tconst,
title_ratings.averageRating,
title_ratings.numVotes,
title_episodes.tconst as episode_tconst,
title_episodes.parentTconst,
title_episodes.seasonNumber,
title_episodes.episodeNumber
FROM
title_episodes
INNER JOIN
title_basics
ON
title_episodes.parentTconst = title_basics.tconst
INNER JOIN
title_ratings
ON
title_episodes.tconst = title_ratings.tconst
INNER JOIN
open_subtitles
ON
title_episodes.tconst = 'tt' || open_subtitles.meta.imdbId
WHERE isAdult == 0
and averageRating > 8.0
and numVotes > 1000
ORDER BY startYear, episode_tconst, seasonNumber, episodeNumber, meta.sentenceIds.en
"""
).fetch_df()
print(tabulate.tabulate(episode_detail[:5], headers="keys", tablefmt="psql"))
# write episode_detail to json file
episode_detail.to_json("episode_opensubtitles.json", orient="records", lines=True)
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