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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'content', 'id'}) and 1 missing columns ({'id,caption'}).

This happened while the csv dataset builder was generating data using

hf://datasets/snzhang/Movie-Title-Post/image.tsv (at revision c283ac890f4f419f9413597f49558212b5578d4f)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              content: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 480
              to
              {'id,caption': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'content', 'id'}) and 1 missing columns ({'id,caption'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/snzhang/Movie-Title-Post/image.tsv (at revision c283ac890f4f419f9413597f49558212b5578d4f)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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id,caption
string
tt0086425,母女情深[SEP]
tt0085701,千年血后[SEP]
tt0085859,地方英雄[SEP]
tt0085549,闪电舞[SEP]
tt0086465,颠倒乾坤[SEP]
tt0087089,棉花俱乐部[SEP]
tt0086567,战争游戏[SEP]
tt0086356,地下审判团[SEP]
tt0086034,007之八爪女[SEP]
tt0085461,换装师[SEP]
tt0086383,拨云见日[SEP]
tt0087755,木偶出征百老汇[SEP]
tt0086361,龙飞凤舞[SEP]
tt0087800,猛鬼街[SEP]
tt0085970,家庭主夫[SEP]
tt0088414,红衣女郎[SEP]
tt0086200,乖仔也疯狂[SEP]
tt0087747,莫斯科先生[SEP]
tt0085995,假期历险记[SEP]
tt0086393,超人3[SEP]
tt0088128,十六支蜡烛[SEP]
tt0087727,越战先锋[SEP]
tt0085244,大寒[SEP]
tt0088146,大兵[SEP]
tt0086006,007外传之巡弋飞弹[SEP]
tt0085780,魔鬼战士堡[SEP]
tt0086859,再看我一眼[SEP]
tt0085750,大白鲨3[SEP]
tt0085255,蓝霹雳[SEP]
tt0088286,笑破铁幕[SEP]
tt0086216,斗鱼[SEP]
tt0086619,燕特尔[SEP]
tt0088323,大魔域[SEP]
tt0086312,丝克伍事件[SEP]
tt0087589,御准神偷[SEP]
tt0085933,战场上的快乐圣诞[SEP]
tt0086541,录影带谋杀案[SEP]
tt0086508,长驱直入[SEP]
tt0086005,狼踪[SEP]
tt0086429,遗嘱[SEP]
tt0087262,凶火[SEP]
tt0086491,阴阳魔界[SEP]
tt0086946,街头舞士[SEP]
tt0084058,热与尘[SEP]
tt0086999,霹雳舞2[SEP]
tt0087050,玉米田的小孩[SEP]
tt0086066,小教父[SEP]
tt0087799,彗星之夜[SEP]
tt0085838,丽阿娜[SEP]
tt0088206,超级少女[SEP]
tt0086494,两情相悦[SEP]
tt0085980,爱情插班生[SEP]
tt0085346,高材生[SEP]
tt0086197,太空先锋[SEP]
tt0087175,魔域煞星[SEP]
tt0085382,狂犬惊魂[SEP]
tt0086036,人鼠之战[SEP]
tt0085333,克莉丝汀魅力[SEP]
tt0088007,怒河春醒[SEP]
tt0085407,死亡地带[SEP]
tt0085542,火冰历险[SEP]
tt0085276,断了气[SEP]
tt0087233,坠入情网[SEP]
tt0085334,圣诞故事[SEP]
tt0086525,山谷女孩[SEP]
tt0087003,丹尼玫瑰[SEP]
tt0086377,长条旗[SEP]
tt0085154,步步登天[SEP]
tt0088256,神偷淑女情[SEP]
tt0085811,国王与怪兽[SEP]
tt0086960,比佛利山超级警探[SEP]
tt0087332,捉鬼敢死队[SEP]
tt0086987,爱的根源[SEP]
tt0087469,夺宝奇兵2[SEP]
tt0086984,粉红色杀人夜[SEP]
tt0085615,高尔基公园惨案[SEP]
tt0087363,小精灵[SEP]
tt0085478,凡夫俗女[SEP]
tt0087538,龙威小子[SEP]
tt0086993,叛舰喋血记[SEP]
tt0086143,疯狂靓妹仔[SEP]
tt0087928,警察学校[SEP]
tt0087277,浑身是劲[SEP]
tt0087910,费城实验[SEP]
tt0088011,绿宝石[SEP]
tt0088194,狠将奇兵[SEP]
tt0088170,星际旅行3:石破天惊[SEP]
tt0085862,独行侠野狼[SEP]
tt0088161,美人鱼[SEP]
tt0087957,紫雨[SEP]
tt0087127,圣剑屠魔[SEP]
tt0087452,冰人四万年[SEP]
tt0086879,莫扎特传[SEP]
tt0086637,西力传[SEP]
tt0088272,黑色手铐[SEP]
tt0087781,天生好手[SEP]
tt0087365,泰山王子[SEP]
tt0088024,霹雳追魂弹[SEP]
tt0088000,菜鸟大反攻[SEP]
tt0085694,姐妹联谊会惊魂[SEP]
End of preview.

Dataset Summary

This dataset currently contains 5043 movie posts and their corresponding Chinese title which are collected from IMDb and Douban by crawler. In the future, we will add more data to it.

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