Datasets:

---

Nebulixlabs

/

web-search-dataset

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
dataset: string
generated_at: string
crawler_stats: struct<started_at: string, urls_discovered: int64, crawled: int64, successful: int64, failed: int64, (... 228 chars omitted)
  child 0, started_at: string
  child 1, urls_discovered: int64
  child 2, crawled: int64
  child 3, successful: int64
  child 4, failed: int64
  child 5, robots_blocked: int64
  child 6, non_html: int64
  child 7, noindex: int64
  child 8, bytes_downloaded: int64
  child 9, records_written: int64
  child 10, shards_created: int64
  child 11, shards_uploaded: int64
  child 12, last_local_checkpoint: string
  child 13, last_hf_upload: string
  child 14, tranco_seeds: int64
link_graph: struct<canonical: string, internal_links_count: int64, external_links_count: int64, outlinks_sample: (... 20 chars omitted)
  child 0, canonical: string
  child 1, internal_links_count: int64
  child 2, external_links_count: int64
  child 3, outlinks_sample: list<item: string>
      child 0, item: string
directives: struct<noindex: bool, nofollow: bool>
  child 0, noindex: bool
  child 1, nofollow: bool
url: string
metadata: struct<title: string, description: string, language: string, author: string, keywords: list<item: st (... 98 chars omitted)
  child 0, title: string
  child 1, description: string
  child 2, language: string
  child 3, author: string
  child 4, keywords: list<item: struct<term: string, score: int64>>
      child 0, item: struct<term: string, score: int64>
          child 0, term: string
          child 1, score: int64
  child 5, open_graph: struct<title: string, image: string, type: string>
      child 0, title: string
      child 1, image: string
      child 2, type: string
content: struct<main_text: string, snippet: string, word_count: int64, headings: struct<h1: list<item: string (... 73 chars omitted)
  child 0, main_text: string
  child 1, snippet: string
  child 2, word_count: int64
  child 3, headings: struct<h1: list<item: string>, h2: list<item: string>, h3: list<item: string>>
      child 0, h1: list<item: string>
          child 0, item: string
      child 1, h2: list<item: string>
          child 0, item: string
      child 2, h3: list<item: string>
          child 0, item: string
  child 4, content_hash: string
doc_id: string
crawl_info: struct<timestamp: string, status_code: int64, schema_version: string>
  child 0, timestamp: string
  child 1, status_code: int64
  child 2, schema_version: string
domain: string
to
{'doc_id': Value('string'), 'url': Value('string'), 'domain': Value('string'), 'crawl_info': {'timestamp': Value('string'), 'status_code': Value('int64'), 'schema_version': Value('string')}, 'metadata': {'title': Value('string'), 'description': Value('string'), 'language': Value('string'), 'author': Value('string'), 'keywords': List({'term': Value('string'), 'score': Value('int64')}), 'open_graph': {'title': Value('string'), 'image': Value('string'), 'type': Value('string')}}, 'content': {'main_text': Value('string'), 'snippet': Value('string'), 'word_count': Value('int64'), 'headings': {'h1': List(Value('string')), 'h2': List(Value('string')), 'h3': List(Value('string'))}, 'content_hash': Value('string')}, 'link_graph': {'canonical': Value('string'), 'internal_links_count': Value('int64'), 'external_links_count': Value('int64'), 'outlinks_sample': List(Value('string'))}, 'directives': {'noindex': Value('bool'), 'nofollow': Value('bool')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: string
              dataset: string
              generated_at: string
              crawler_stats: struct<started_at: string, urls_discovered: int64, crawled: int64, successful: int64, failed: int64, (... 228 chars omitted)
                child 0, started_at: string
                child 1, urls_discovered: int64
                child 2, crawled: int64
                child 3, successful: int64
                child 4, failed: int64
                child 5, robots_blocked: int64
                child 6, non_html: int64
                child 7, noindex: int64
                child 8, bytes_downloaded: int64
                child 9, records_written: int64
                child 10, shards_created: int64
                child 11, shards_uploaded: int64
                child 12, last_local_checkpoint: string
                child 13, last_hf_upload: string
                child 14, tranco_seeds: int64
              link_graph: struct<canonical: string, internal_links_count: int64, external_links_count: int64, outlinks_sample: (... 20 chars omitted)
                child 0, canonical: string
                child 1, internal_links_count: int64
                child 2, external_links_count: int64
                child 3, outlinks_sample: list<item: string>
                    child 0, item: string
              directives: struct<noindex: bool, nofollow: bool>
                child 0, noindex: bool
                child 1, nofollow: bool
              url: string
              metadata: struct<title: string, description: string, language: string, author: string, keywords: list<item: st (... 98 chars omitted)
                child 0, title: string
                child 1, description: string
                child 2, language: string
                child 3, author: string
                child 4, keywords: list<item: struct<term: string, score: int64>>
                    child 0, item: struct<term: string, score: int64>
                        child 0, term: string
                        child 1, score: int64
                child 5, open_graph: struct<title: string, image: string, type: string>
                    child 0, title: string
                    child 1, image: string
                    child 2, type: string
              content: struct<main_text: string, snippet: string, word_count: int64, headings: struct<h1: list<item: string (... 73 chars omitted)
                child 0, main_text: string
                child 1, snippet: string
                child 2, word_count: int64
                child 3, headings: struct<h1: list<item: string>, h2: list<item: string>, h3: list<item: string>>
                    child 0, h1: list<item: string>
                        child 0, item: string
                    child 1, h2: list<item: string>
                        child 0, item: string
                    child 2, h3: list<item: string>
                        child 0, item: string
                child 4, content_hash: string
              doc_id: string
              crawl_info: struct<timestamp: string, status_code: int64, schema_version: string>
                child 0, timestamp: string
                child 1, status_code: int64
                child 2, schema_version: string
              domain: string
              to
              {'doc_id': Value('string'), 'url': Value('string'), 'domain': Value('string'), 'crawl_info': {'timestamp': Value('string'), 'status_code': Value('int64'), 'schema_version': Value('string')}, 'metadata': {'title': Value('string'), 'description': Value('string'), 'language': Value('string'), 'author': Value('string'), 'keywords': List({'term': Value('string'), 'score': Value('int64')}), 'open_graph': {'title': Value('string'), 'image': Value('string'), 'type': Value('string')}}, 'content': {'main_text': Value('string'), 'snippet': Value('string'), 'word_count': Value('int64'), 'headings': {'h1': List(Value('string')), 'h2': List(Value('string')), 'h3': List(Value('string'))}, 'content_hash': Value('string')}, 'link_graph': {'canonical': Value('string'), 'internal_links_count': Value('int64'), 'external_links_count': Value('int64'), 'outlinks_sample': List(Value('string'))}, 'directives': {'noindex': Value('bool'), 'nofollow': Value('bool')}}
              because column names don't match
              
              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 1694, 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 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset