Datasets:
The dataset preview is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: The HTTP server doesn't appear to support range requests. Only reading this file from the beginning is supported. Open with block_size=0 for a streaming file interface.
Traceback: Traceback (most recent call last):
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
rows = get_rows(
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
return func(*args, **kwargs)
File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__
for key, example in ex_iterable:
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/setswana_ner_corpus/d28fc97a18e339550ae22366a015137f26c4c7623f91548b823a2ced75cb0b06/setswana_ner_corpus.py", line 109, in _generate_examples
with open(filepath, encoding="utf-8") as f:
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 70, in wrapper
return function(*args, use_auth_token=use_auth_token, **kwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 495, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 419, in open
return open_files(
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 272, in open_files
fs, fs_token, paths = get_fs_token_paths(
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 586, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 252, in filesystem
return cls(**storage_options)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 54, in __init__
self.zip = zipfile.ZipFile(self.fo, mode=mode)
File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
endrec = _EndRecData(fp)
File "/usr/local/lib/python3.9/zipfile.py", line 273, in _EndRecData
data = fpin.read()
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 594, in read
return super().read(length)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1684, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 377, in _fetch
self.cache = self.fetcher(start, bend)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 114, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 99, in sync
raise return_result
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 54, in _runner
result[0] = await coro
File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 665, in async_fetch_range
raise ValueError(
ValueError: The HTTP server doesn't appear to support range requests. Only reading this file from the beginning is supported. Open with block_size=0 for a streaming file interface.Need help to make the dataset viewer work? Open an discussion for direct support.
Dataset Card for Setswana NER Corpus
Dataset Summary
The Setswana Ner Corpus is a Setswana dataset developed by The Centre for Text Technology (CTexT), North-West University, South Africa. The data is based on documents from the South African goverment domain and crawled from gov.za websites. It was created to support NER task for Setswana language. The dataset uses CoNLL shared task annotation standards.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The language supported is Setswana.
Dataset Structure
Data Instances
A data point consists of sentences seperated by empty line and tab-seperated tokens and tags.
{'id': '0',
'ner_tags': [0, 0, 0, 0, 0],
'tokens': ['Ka', 'dinako', 'dingwe', ',', 'go']
}
Data Fields
id: id of the sampletokens: the tokens of the example textner_tags: the NER tags of each token
The NER tags correspond to this list:
"OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC",
The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). (OUT) is used for tokens not considered part of any named entity.
Data Splits
The data was not split.
Dataset Creation
Curation Rationale
The data was created to help introduce resources to new language - setswana.
[More Information Needed]
Source Data
Initial Data Collection and Normalization
The data is based on South African government domain and was crawled from gov.za websites.
[More Information Needed]
Who are the source language producers?
The data was produced by writers of South African government websites - gov.za
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
The data was annotated during the NCHLT text resource development project.
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
The annotated data sets were developed by the Centre for Text Technology (CTexT, North-West University, South Africa).
See: more information
Licensing Information
The data is under the Creative Commons Attribution 2.5 South Africa License
Citation Information
@inproceedings{sepedi_ner_corpus,
author = {S.S.B.M. Phakedi and
Roald Eiselen},
title = {NCHLT Setswana Named Entity Annotated Corpus},
booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.},
year = {2016},
url = {https://repo.sadilar.org/handle/20.500.12185/341},
}
Contributions
Thanks to @yvonnegitau for adding this dataset.
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