Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
Urdu
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
License:
unknown
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError Exception: NonStreamableDatasetError Message: Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default) Traceback: Traceback (most recent call last): 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 263, in _EndRecData fpin.seek(0, 2) File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 737, in seek raise ValueError("Cannot seek streaming HTTP file") ValueError: Cannot seek streaming HTTP file The above exception was the direct cause of the following exception: 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/urdu_sentiment_corpus/6e18e36a9944c74ee1b7afe13858fff8dfdfb861d9a4969c72b75f95dab582c1/urdu_sentiment_corpus.py", line 66, 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 498, in xopen raise NonStreamableDatasetError( datasets.download.streaming_download_manager.NonStreamableDatasetError: Streaming is not possible for this dataset because data host server doesn't support HTTP range requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default)
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Dataset Card for Urdu Sentiment Corpus (USC)
Dataset Summary
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
- sentences: The Urdu tweet
- sentiment: The sentiment that was exhibited in the tweet, which can be Positive(P) or Negative(N) or Objective(O).
Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
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
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Licensing Information
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Citation Information
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Contributions
Thanks to @chaitnayabasava for adding this dataset.
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