Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
yield
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 250, in handle_request
resp = self._pool.handle_request(req)
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 256, in handle_request
raise exc from None
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 236, in handle_request
response = connection.handle_request(
pool_request.request
)
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection.py", line 101, in handle_request
raise exc
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection.py", line 78, in handle_request
stream = self._connect(request)
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection.py", line 124, in _connect
stream = self._network_backend.connect_tcp(**kwargs)
File "/usr/local/lib/python3.14/site-packages/httpcore/_backends/sync.py", line 207, in connect_tcp
with map_exceptions(exc_map):
~~~~~~~~~~~~~~^^^^^^^^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.ConnectTimeout: timed out
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1238, in read
return super().read(length)
~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 1897, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/usr/local/lib/python3.14/site-packages/fsspec/caching.py", line 234, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1194, in _fetch_range
r = http_backoff("GET", url, headers=headers, timeout=constants.HF_HUB_DOWNLOAD_TIMEOUT)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 559, in http_backoff
return next(
_http_backoff_base(
...<9 lines>...
)
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 479, in _http_backoff_base
raise err
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 467, in _http_backoff_base
response = client.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 825, in request
return self.send(request, auth=auth, follow_redirects=follow_redirects)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 914, in send
response = self._send_handling_auth(
request,
...<2 lines>...
history=[],
)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 942, in _send_handling_auth
response = self._send_handling_redirects(
request,
follow_redirects=follow_redirects,
history=history,
)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 979, in _send_handling_redirects
response = self._send_single_request(request)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 1014, in _send_single_request
response = transport.handle_request(request)
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 249, in handle_request
with map_httpcore_exceptions():
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
raise mapped_exc(message) from exc
httpx.ConnectTimeout: timed out
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2424, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 89, in pyarrow.lib.check_status
RestorePyError(status)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 869, in read_with_retries
raise ConnectionError("Server Disconnected") from disconnect_err
ConnectionError: Server Disconnected
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
NPSC Ortho Morphcoded Clean
This is a consensus-filtered derivative of NbAiLab/NPSC_orto_morphcoded at revision 'c0a5864ffde32ca05a683652b54282ee785ca16d'. It retains the original id, source, and target schema and the original source text.
Cleaning method
A T5Gemma 2 1B model fine-tuned on the source dataset generated one prediction for every row. Exact model/target agreements were retained. Every disagreement was shown to two isolated language-model reviewers with the source plus randomized candidates A and B; neither reviewer saw candidate provenance or the other review. Each reviewer could select only A, B, or None.
A disagreement was retained only when both reviewers independently selected the same non-None candidate after candidate randomization was decoded. Every other disagreement was dropped. A unanimous candidate was also dropped if it failed AltMorph syntax or exact source-recoverability checks. Selected targets were canonicalized to case-insensitive alphabetical alternative order.
The automated reviewers are a quality-control heuristic, not human linguistic annotation. Agreement between the generator, model, or reviewers does not prove that every retained alternative is authoritative or context-preserving.
| Source split | Input | Model/target agreement | GT selected | Model selected | Dropped |
|---|---|---|---|---|---|
| train | 62,541 | 61,346 | 566 | 482 | 147 |
| validation | 1,000 | 924 | 45 | 22 | 9 |
| test | 1,000 | 934 | 38 | 21 | 7 |
Published splits
train is the cleaned original training split. eval and test preserve all original evaluation rows and labels for direct comparability. eval_clean and test_clean contain only rows retained by the consensus-cleaning procedure, with the selected target.
| Split | Rows | Source differs from target |
|---|---|---|
| train | 62,394 | 35,830 |
| eval | 1,000 | 581 |
| eval_clean | 991 | 582 |
| test | 1,000 | 563 |
| test_clean | 993 | 561 |
Split overlap
Split IDs are disjoint, but the upstream random split contains repeated rows. The following counts are measured against train after cleaning. Exact repeated source/target pairs can make evaluation optimistic and must not be interpreted as independent generalization.
| Split | ID overlap rows | Exact source/target overlap rows | Unique overlapping sources |
|---|---|---|---|
| eval | 0 | 105 | 84 |
| eval_clean | 0 | 105 | 84 |
| test | 0 | 99 | 76 |
| test_clean | 0 | 99 | 76 |
Fields
| Field | Meaning |
|---|---|
| id | Original NPSC sentence ID as a string. |
| source | Norwegian parliamentary transcript text. |
| target | Source-preserving AltMorph encoding with alphabetically ordered alternatives. |
Provenance
- Generated: 2026-08-29T00:00:23.289993+00:00
- Source dataset: 'NbAiLab/NPSC_orto_morphcoded'
- Source revision: 'c0a5864ffde32ca05a683652b54282ee785ca16d'
- Cleaning model: google/t5gemma-2-1b-1b, fine-tuned run t5gemma2-1b-altmorph-v2-alpha
- Reviewers: two independently isolated automated language-model agents
- Decision choices: A, B, or None
- Retention rule for disagreements: unanimous A or unanimous B only
The source dataset card documents NPSC and AltMorph generation in detail, including HumIT, Ordbank, North-T5, source licensing, and attribution. This derivative uses CC BY-SA 3.0 conservatively and preserves those attribution requirements.
Please credit:
- the National Library of Norway and NPSC dataset maintainers;
- the University of Oslo HumIT team and Humit-Oslo/humit-tagger-large;
- the University of Bergen Ordbank service;
- the North-T5 authors and north/t5_base_NCC;
- the AltMorph authors; and
- Google and the T5Gemma authors for the cleaning model.
The upstream parliamentary transcriptions are described as CC0, while the Hugging Face curation and this derivative use CC BY-SA 3.0.
Limitations
The dataset remains automatically generated silver data. In-sample predictions on the training split can reflect memorization, and shared model/target errors survive automatic agreement filtering. Agent judgments can also be correlated or linguistically wrong. Use eval/test for comparison with the original silver labels and eval_clean/test_clean for the stricter retained subset. Fresh human or linguist evaluation is recommended for consequential use.
- Downloads last month
- 32