Datasets:

lukeslp
/

bsky-firehose-anonymized-dec-2025

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
last_updated: string
fields: list<item: struct<name: string, type: string, description: string, nullable: bool, anonymized: bool, (... 72 chars omitted)
  child 0, item: struct<name: string, type: string, description: string, nullable: bool, anonymized: bool, values: li (... 60 chars omitted)
      child 0, name: string
      child 1, type: string
      child 2, description: string
      child 3, nullable: bool
      child 4, anonymized: bool
      child 5, values: list<item: string>
          child 0, item: string
      child 6, range: list<item: double>
          child 0, item: double
      child 7, format: string
char_count: int64
language: string
has_link: bool
word_count: int64
has_images: bool
author_did_hash: string
has_video: bool
sentiment: string
sentiment_score: double
created_at: string
text: string
to
{'text': Value('string'), 'author_did_hash': Value('string'), 'sentiment': Value('string'), 'sentiment_score': Value('float64'), 'created_at': Value('string'), 'language': Value('string'), 'char_count': Value('int64'), 'word_count': Value('int64'), 'has_images': Value('bool'), 'has_video': Value('bool'), 'has_link': Value('bool')}
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 272, 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              schema_version: string
              last_updated: string
              fields: list<item: struct<name: string, type: string, description: string, nullable: bool, anonymized: bool, (... 72 chars omitted)
                child 0, item: struct<name: string, type: string, description: string, nullable: bool, anonymized: bool, values: li (... 60 chars omitted)
                    child 0, name: string
                    child 1, type: string
                    child 2, description: string
                    child 3, nullable: bool
                    child 4, anonymized: bool
                    child 5, values: list<item: string>
                        child 0, item: string
                    child 6, range: list<item: double>
                        child 0, item: double
                    child 7, format: string
              char_count: int64
              language: string
              has_link: bool
              word_count: int64
              has_images: bool
              author_did_hash: string
              has_video: bool
              sentiment: string
              sentiment_score: double
              created_at: string
              text: string
              to
              {'text': Value('string'), 'author_did_hash': Value('string'), 'sentiment': Value('string'), 'sentiment_score': Value('float64'), 'created_at': Value('string'), 'language': Value('string'), 'char_count': Value('int64'), 'word_count': Value('int64'), 'has_images': Value('bool'), 'has_video': Value('bool'), 'has_link': Value('bool')}
              because column names don't match

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Bluesky Firehose: Anonymized Posts (Dec 2025)

101,040 Bluesky posts collected via the AT Protocol firehose, December 2-25, 2025. All author DIDs, post URIs, and thread relationships are SHA-256 hashed. Includes sentiment scores (VADER), language detection across 90 languages, media flags, and thread structure.

Posts: 101,040
Unique Authors: 43,998
Languages: 90 detected (60.8% English, 12.5% Japanese, 11.4% unknown)
Collection: Bluesky AT Protocol Jetstream WebSocket

Dataset Structure

Field	Type	Description
`text`	string	Post content
`author_did_hash`	string	SHA-256 hashed author DID (16 chars)
`sentiment`	string	positive, negative, or neutral
`sentiment_score`	float	VADER compound score (-1.0 to 1.0)
`created_at`	string	ISO 8601 timestamp
`language`	string	ISO 639-1 language code
`has_images` / `has_video` / `has_link`	bool	Media flags
`hashtags` / `mentions` / `links`	string	JSON arrays

Anonymization

All personally identifiable fields are SHA-256 hashed (truncated to 16 chars). Thread structure is preserved through consistent hashing.

Usage

import pandas as pd

df = pd.read_csv('bluesky_posts.csv').dropna(subset=['text'])

# Sentiment distribution
print(df['sentiment'].value_counts())

# Language breakdown
print(df['language'].value_counts().head(10))

Sources

Bluesky AT Protocol firehose via Jetstream WebSocket. Complies with Bluesky Developer Guidelines. Deletion requests: luke@lukesteuber.com.

License

CC-BY-4.0

Author

Luke Steuber · lukesteuber.com · @lukesteuber.com

Downloads last month: 28

Total file size:

29.1 MB