Datasets:

---

dwjoeikr

/

xehe_rezako_fokjh

like 0

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 1 new columns ({'forward'})

This happened while the json dataset builder was generating data using

hf://datasets/dwjoeikr/xehe_rezako_fokjh/cine_movie/00000.jsonl (at revision 0b48374f33d18375c02c940e8079013e3dbaffc5)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              _id: string
              aid: int64
              bvid: string
              cid: int64
              copyright: int64
              ctime: int64
              ctime_str: timestamp[s]
              desc: string
              duration: int64
              insert_at: int64
              insert_at_str: timestamp[s]
              owner: struct<mid: int64, name: string>
                child 0, mid: int64
                child 1, name: string
              pic: string
              pub_location: string
              pubdate: int64
              pubdate_str: timestamp[s]
              redirect_url: string
              stat: struct<aid: int64, view: int64, danmaku: int64, reply: int64, favorite: int64, coin: int64, share: i (... 81 chars omitted)
                child 0, aid: int64
                child 1, view: int64
                child 2, danmaku: int64
                child 3, reply: int64
                child 4, favorite: int64
                child 5, coin: int64
                child 6, share: int64
                child 7, now_rank: int64
                child 8, his_rank: int64
                child 9, like: int64
                child 10, fav_g: int64
                child 11, like_g: int64
              tid: int64
              title: string
              tname: string
              videos: int64
              tags: string
              ptid: int64
              pid_name_v2: string
              pid_v2: int64
              rtags: string
              tidv2: int64
              tnamev2: string
              season_id: int64
              mission_id: int64
              forward: int64
              to
              {'_id': Value('string'), 'aid': Value('int64'), 'bvid': Value('string'), 'cid': Value('int64'), 'copyright': Value('int64'), 'ctime': Value('int64'), 'ctime_str': Value('timestamp[s]'), 'desc': Value('string'), 'duration': Value('int64'), 'insert_at': Value('int64'), 'insert_at_str': Value('timestamp[s]'), 'owner': {'mid': Value('int64'), 'name': Value('string')}, 'pic': Value('string'), 'pub_location': Value('string'), 'pubdate': Value('int64'), 'pubdate_str': Value('timestamp[s]'), 'stat': {'aid': Value('int64'), 'view': Value('int64'), 'danmaku': Value('int64'), 'reply': Value('int64'), 'favorite': Value('int64'), 'coin': Value('int64'), 'share': Value('int64'), 'now_rank': Value('int64'), 'his_rank': Value('int64'), 'like': Value('int64'), 'fav_g': Value('int64'), 'like_g': Value('int64')}, 'tid': Value('int64'), 'title': Value('string'), 'tname': Value('string'), 'videos': Value('int64'), 'tags': Value('string'), 'ptid': Value('int64'), 'season_id': Value('int64'), 'pid_name_v2': Value('string'), 'pid_v2': Value('int64'), 'rtags': Value('string'), 'tidv2': Value('int64'), 'tnamev2': Value('string'), 'redirect_url': Value('string'), 'mission_id': Value('int64')}
              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 1450, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 1 new columns ({'forward'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/dwjoeikr/xehe_rezako_fokjh/cine_movie/00000.jsonl (at revision 0b48374f33d18375c02c940e8079013e3dbaffc5)
              
              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)