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Datasets:
substrate-labs
/
hackernews

Modalities:
Tabular
Formats:
parquet
Size:
< 1K
Libraries:
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Dask
License:
Dataset card Data Studio Files Community
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
by: large_string
descendants: int64
id: int64
kids: large_list<element: int64>
  child 0, element: int64
score: int64
time: int64
title: large_string
type: large_string
url: large_string
text: large_string
to
{'hn': Value(dtype='int64', id=None), 'show': Value(dtype='int64', id=None), '–': Value(dtype='int64', id=None), 'new': Value(dtype='int64', id=None), 'from': Value(dtype='int64', id=None), 'why': Value(dtype='int64', id=None), 'answer': Value(dtype='int64', id=None), 'api': Value(dtype='int64', id=None), 'using': Value(dtype='int64', id=None), 'birth': Value(dtype='int64', id=None), 'your': Value(dtype='int64', id=None), 'all': Value(dtype='int64', id=None), 'one': Value(dtype='int64', id=None), 'take': Value(dtype='int64', id=None), 'at': Value(dtype='int64', id=None), 'it': Value(dtype='int64', id=None), 'not': Value(dtype='int64', id=None), 'more': Value(dtype='int64', id=None), 'stuff': Value(dtype='int64', id=None), 'experiments': Value(dtype='int64', id=None), 'ruby': Value(dtype='int64', id=None), 'human': Value(dtype='int64', id=None), 'cells': Value(dtype='int64', id=None), 'tool': Value(dtype='int64', id=None), 'tracking': Value(dtype='int64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              by: large_string
              descendants: int64
              id: int64
              kids: large_list<element: int64>
                child 0, element: int64
              score: int64
              time: int64
              title: large_string
              type: large_string
              url: large_string
              text: large_string
              to
              {'hn': Value(dtype='int64', id=None), 'show': Value(dtype='int64', id=None), '–': Value(dtype='int64', id=None), 'new': Value(dtype='int64', id=None), 'from': Value(dtype='int64', id=None), 'why': Value(dtype='int64', id=None), 'answer': Value(dtype='int64', id=None), 'api': Value(dtype='int64', id=None), 'using': Value(dtype='int64', id=None), 'birth': Value(dtype='int64', id=None), 'your': Value(dtype='int64', id=None), 'all': Value(dtype='int64', id=None), 'one': Value(dtype='int64', id=None), 'take': Value(dtype='int64', id=None), 'at': Value(dtype='int64', id=None), 'it': Value(dtype='int64', id=None), 'not': Value(dtype='int64', id=None), 'more': Value(dtype='int64', id=None), 'stuff': Value(dtype='int64', id=None), 'experiments': Value(dtype='int64', id=None), 'ruby': Value(dtype='int64', id=None), 'human': Value(dtype='int64', id=None), 'cells': Value(dtype='int64', id=None), 'tool': Value(dtype='int64', id=None), 'tracking': Value(dtype='int64', id=None)}
              because column names don't match

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hackernews

This dataset is produced and published automatically by DataMax. It contains the following assets:

  • most_frequent_words
  • top_stories

most_frequent_words

Get the top 25 most frequent words in the titles of the top 100 HackerNews stories.

This dataset is produced and published automatically by DataMax.

Dataset Statistics

  • Number of rows: 1
  • Number of columns: 25

Sample Data

hn show – new from why answer api using birth your all one take at it not more stuff experiments ruby human cells tool tracking
13 11 7 4 4 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2

license: mit

top_stories

Get items based on story ids from the HackerNews items endpoint. It may take 30 seconds to fetch all 100 items.

API Docs: https://github.com/HackerNews/API#items

This dataset is produced and published automatically by DataMax.

Dataset Statistics

  • Number of rows: 100
  • Number of columns: 10

Sample Data

by descendants id kids score time title type url text
KolmogorovComp 27 42485423 [42485485, 42492701, 42493589, 42493378, 42493093, 42492689, 42494344, 42492975] 246 1734861568 Infinigen: Infinite Photorealistic Worlds Using Procedural Generation story https://github.com/princeton-vl/infinigen None
wglb 228 42494746 [42494971, 42495185, 42495269, 42495125, 42495120, 42495689, 42495643, 42494972, 42494960, 42494970, 42495179, 42495258, 42495680, 42495949, 42495197, 42495237, 42496532, 42495282, 42495631, 42495798, 42495652, 42495305, 42495099, 42495280, 42495846, 42497007, 42495227, 42495449, 42495266] 248 1734965276 Commercial tea bags release microplastics, entering human cells story https://medicalxpress.com/news/2024-12-commercial-tea-bags-millions-microplastics.html None
matthiasl 129 42485795 [42487432, 42495119, 42489908, 42487710, 42495736, 42488167, 42488267, 42487824, 42488170, 42487683, 42495627, 42489416, 42490736, 42493950, 42493721, 42487643, 42485871, 42488696, 42489103, 42495614, 42493155, 42486051] 394 1734868152 Decoding the telephony signals in Pink Floyd's 'The Wall' story https://corelatus.com/blog/Decoding_the_telephony_signals_in_Pink_Floyd_s__The_Wall_.html None

license: mit

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