The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 1044081, saw 2
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
nrows
^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 1044081, saw 2
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
nconst primaryName birthYear deathYear string |
|---|
0000001 Fred Astaire 1899 1987 |
0000002 Lauren Bacall 1924 2014 |
0000003 Brigitte Bardot 1934 2025 |
0000004 John Belushi 1949 1982 |
0000005 Ingmar Bergman 1918 2007 |
0000006 Ingrid Bergman 1915 1982 |
0000007 Humphrey Bogart 1899 1957 |
0000008 Marlon Brando 1924 2004 |
0000009 Richard Burton 1925 1984 |
0000010 James Cagney 1899 1986 |
0000011 Gary Cooper 1901 1961 |
0000012 Bette Davis 1908 1989 |
0000013 Doris Day 1922 2019 |
0000014 Olivia de Havilland 1916 2020 |
0000015 James Dean 1931 1955 |
0000016 Georges Delerue 1925 1992 |
0000017 Marlene Dietrich 1901 1992 |
0000018 Kirk Douglas 1916 2020 |
0000019 Federico Fellini 1920 1993 |
0000020 Henry Fonda 1905 1982 |
0000021 Joan Fontaine 1917 2013 |
0000022 Clark Gable 1901 1960 |
0000023 Judy Garland 1922 1969 |
0000024 John Gielgud 1904 2000 |
0000025 Jerry Goldsmith 1929 2004 |
0000026 Cary Grant 1904 1986 |
0000027 Alec Guinness 1914 2000 |
0000028 Rita Hayworth 1918 1987 |
0000029 Margaux Hemingway 1954 1996 |
0000030 Audrey Hepburn 1929 1993 |
0000031 Katharine Hepburn 1907 2003 |
0000032 Charlton Heston 1923 2008 |
0000033 Alfred Hitchcock 1899 1980 |
0000034 William Holden 1918 1981 |
0000035 James Horner 1953 2015 |
0000036 Buster Keaton 1895 1966 |
0000037 Gene Kelly 1912 1996 |
0000038 Grace Kelly 1929 1982 |
0000039 Deborah Kerr 1921 2007 |
0000040 Stanley Kubrick 1928 1999 |
0000041 Akira Kurosawa 1910 1998 |
0000042 Alan Ladd 1913 1964 |
0000043 Veronica Lake 1922 1973 |
0000044 Burt Lancaster 1913 1994 |
0000045 Bruce Lee 1940 1973 |
0000046 Vivien Leigh 1913 1967 |
0000047 Sophia Loren 1934 0 |
0000048 Peter Lorre 1904 1964 |
0000049 Henry Mancini 1924 1994 |
0000050 Groucho Marx 1890 1977 |
0000051 James Mason 1909 1984 |
0000052 Marcello Mastroianni 1924 1996 |
0000053 Robert Mitchum 1917 1997 |
0000054 Marilyn Monroe 1926 1962 |
0000055 Alfred Newman 1900 1970 |
0000056 Paul Newman 1925 2008 |
0000057 David Niven 1910 1983 |
0000058 Maureen O'Hara 1920 2015 |
0000059 Laurence Olivier 1907 1989 |
0000060 Gregory Peck 1916 2003 |
0000061 Tyrone Power 1914 1958 |
0000062 Elvis Presley 1935 1977 |
0000063 Anthony Quinn 1915 2001 |
0000064 Edward G. Robinson 1893 1973 |
0000065 Nino Rota 1911 1979 |
0000066 Jane Russell 1921 2011 |
0000067 Miklós Rózsa 1907 1995 |
0000068 Randolph Scott 1898 1987 |
0000069 Frank Sinatra 1915 1998 |
0000070 Max Steiner 1888 1971 |
0000071 James Stewart 1908 1997 |
0000072 Elizabeth Taylor 1932 2011 |
0000073 Shirley Temple 1928 2014 |
0000074 Gene Tierney 1920 1991 |
0000075 Spencer Tracy 1900 1967 |
0000076 François Truffaut 1932 1984 |
0000077 Franz Waxman 1906 1967 |
0000078 John Wayne 1907 1979 |
0000079 Raquel Welch 1940 2023 |
0000080 Orson Welles 1915 1985 |
0000081 Natalie Wood 1938 1981 |
0000082 Victor Young 1899 1956 |
0000083 Alan Miller 0 0 |
0000084 Gong Li 1965 0 |
0000085 Henner Hofmann 1950 2026 |
0000086 Louis de Funès 1914 1983 |
0000087 Elena Koreneva 1953 0 |
0000088 Aleksey Korenev 1927 1995 |
0000089 Richard Paul 1940 1998 |
0000090 Armin Mueller-Stahl 1930 0 |
0000091 Gérard Pirès 1942 0 |
0000092 John Cleese 1939 0 |
0000093 Brad Pitt 1963 0 |
0000094 J. Reifel 0 0 |
0000095 Woody Allen 1935 0 |
0000096 Gillian Anderson 1968 0 |
0000097 Pamela Anderson 1967 0 |
0000098 Jennifer Aniston 1969 0 |
0000099 Patricia Arquette 1968 0 |
0000100 Rowan Atkinson 1955 0 |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
imdb-tsv
Trimmed IMDb TSV snapshots, packaged for direct load into the graph schema
defined in schema.cypher (Kùzu-style CREATE NODE TABLE / CREATE REL TABLE).
Source
Downloaded on 2026-07-07 from the official IMDb dataset mirror: https://datasets.imdbws.com/
The three source files used were:
name.basics.tsv.gz→name.basics.trimmed.csv.zsttitle.basics.tsv.gz→title.basics.trimmed.csv.zsttitle.principals.tsv.gz→title.principals.trimmed.csv.zst
Processing
The official IMDb TSVs are tab-separated and contain extra columns beyond
what schema.cypher declares. Each source file was lightly processed
(header kept, columns projected to the ones the schema references,
field names renamed to match the Cypher property names) and recompressed
with zstd (.zst). No row filtering, no value rewriting — the row
counts and order match the upstream dump.
| File | Rows (incl. header) | Source columns kept |
|---|---|---|
name.basics.trimmed.csv.zst |
15,468,443 | nconst, primaryName, birthYear, deathYear |
title.basics.trimmed.csv.zst |
12,623,654 | tconst, primaryTitle, startYear, runtimeMinutes |
title.principals.trimmed.csv.zst |
100,343,239 | nconst, tconst |
Column renames applied during trimming:
name.basics:nconst → nconst,primaryName → primaryName,birthYear → birthYear,deathYear → deathYear(no rename; just droppedprimaryProfession,knownForTitles)title.basics:tconst → movieId,primaryTitle → title,startYear → year,runtimeMinutes → durationMins(droppedtitleType,originalTitle,isAdult,endYear,genres)title.principals: keptnconst,tconst(droppedordering,category,job,characters)
The result is the minimal subset needed to materialize the Actor, Movie
and ActedIn graph from schema.cypher via the COPY statements in
copy.cypher.
Loading
Decompress the .zst files (e.g. with zstd -d) and then run
copy.cypher against a database whose schema has been created from
schema.cypher:
zstd -d *.zst
# create schema from schema.cypher, then:
# run copy.cypher
Provenience / licensing
Data © IMDb and its licensors. Use is subject to IMDb's non-commercial / personal-use terms for the datasets dump: https://www.imdb.com/interfaces/ This repository is a redistribution of a snapshot of that data; please respect the upstream license when using these files.
- Downloads last month
- 26