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/services/worker/src/worker/job_runners/first_rows.py", line 571, in compute_first_rows_response
rows = get_rows(
File "/src/services/worker/src/worker/job_runners/first_rows.py", line 162, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/first_rows.py", line 205, in get_rows
ds = load_dataset(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1775, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1245, in as_streaming_dataset
splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)}
File "/tmp/modules-cache/datasets_modules/datasets/nchlt/9dded334539dad2aba78c35ffbe645150786e2b54e47a4eff0cf2a8cb74406ed/nchlt.py", line 150, in _split_generators
for root, dirs, files in os.walk(dl_dir):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 606, in xwalk
fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 586, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 253, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 59, in __init__
self.zip = zipfile.ZipFile(
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/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 600, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1700, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 380, in _fetch
self.cache = self.fetcher(start, bend)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 115, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 100, in sync
raise return_result
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 55, in _runner
result[0] = await coro
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 671, 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 NCHLT
Dataset Summary
The development of linguistic resources for use in natural language processingis of utmost importance for the continued growth of research anddevelopment in the field, especially for resource-scarce languages. In this paper we describe the process and challenges of simultaneouslydevelopingmultiple linguistic resources for ten of the official languages of South Africa. The project focussed on establishing a set of foundational resources that can foster further development of both resources and technologies for the NLP industry in South Africa. The development efforts during the project included creating monolingual unannotated corpora, of which a subset of the corpora for each language was annotated on token, orthographic, morphological and morphosyntactic layers. The annotated subsetsincludes both development and test setsand were used in the creation of five core-technologies, viz. atokeniser, sentenciser,lemmatiser, part of speech tagger and morphological decomposer for each language. We report on the quality of these tools for each language and provide some more context of the importance of the resources within the South African context.
Supported Tasks and Leaderboards
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Languages
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Dataset Structure
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Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
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Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
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Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
Licensing Information
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Citation Information
@inproceedings{eiselen2014developing,
title={Developing Text Resources for Ten South African Languages.},
author={Eiselen, Roald and Puttkammer, Martin J},
booktitle={LREC},
pages={3698--3703},
year={2014}
}
Contributions
Thanks to @Narsil for adding this dataset.
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