The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
accessinfo.hk public-information register
Read-only public-information request archive for
https://accessinfo.hk (HK; English).
This dataset belongs to the dedicated fyi-archive collection.
Publication status
- Instance id:
hk-accessinfo - Operational status: historical-only
- Canonical source:
https://accessinfo.hk/ - Dataset repository:
edithatogo/accessinfo-archive-hk
This repository is reserved for historical recovery. It is fail-closed: the card does not claim records, completeness, or live-API coverage until verified artifacts are published.
Provenance and acquisition modes
The orchestration source is
edithatogo/fyi-archive. Capture is
read-only, rate-limited, independently checkpointed per site, and performed through
publicly available source interfaces and archival evidence. Configured source modes:
atom_feedinternet_archiveofficial_datasetoperator_export
Intended use
Public-interest and policy research, journalism, reproducible historical preservation, and transparency analysis. This archive is not a certified legal record, legal advice, or a substitute for the upstream site.
Data availability and loading
The repository card is always published before archive payloads. A Dataset Viewer configuration is added only when a verified Parquet manifest exists. Until then, inspect the repository without assuming a split:
from huggingface_hub import HfApi
files = HfApi().list_repo_files("edithatogo/accessinfo-archive-hk", repo_type="dataset")
print(files)
After manifests/latest_manifest.parquet is published and verified, it can be queried
with DuckDB or loaded explicitly as Parquet. The canonical manifest contract is
schemas/manifest.schema.json;
source-specific unavailable values remain null rather than being inferred.
Rights, privacy, and limitations
Public availability does not create a blanket reuse licence. Archived records retain their source rights, attribution, privacy, and takedown constraints; the repository code alone is MIT-licensed. Coverage is point-in-time and may be incomplete. No percentage coverage is claimed without a defensible source denominator. See the copyright, ethics, and notice documentation.
Citation
@dataset{mordaunt_hk_accessinfo_archive,
author = {Dylan Mordaunt},
title = {accessinfo.hk public-information register},
year = {2026},
url = {https://huggingface.co/datasets/edithatogo/accessinfo-archive-hk}
}
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