Datasets:
swedish_reviews

Tasks:

Text Classification

Sub-tasks: sentiment-classification

Languages: Swedish

Multilinguality: monolingual

Size Categories: 100K<n<1M

Language Creators: found

Annotations Creators: found

Source Datasets: original

License: unknown

Dataset card Files Files and versions Community

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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/swedish_reviews/b5ca53a6d7b4004000f565882a5294e9d7c9f4b341a2aa226bcf08b8762f68f5/swedish_reviews.py", line 76, 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 Swedish Reviews

Dataset Summary

The dataset is scraped from various Swedish websites where reviews are present. The dataset consists of 103 482 samples split between train, valid and test. It is a sample of the full dataset, where this sample is balanced to the minority class (negative). The original data dump was heavly skewved to positive samples with a 95/5 ratio.

Supported Tasks and Leaderboards

This dataset can be used to evaluate sentiment classification on Swedish.

Languages

The text in the dataset is in Swedish.

Dataset Structure

Data Instances

What a sample looks like:

{
 'text': 'Jag tycker huggingface är ett grymt project!',
 'label': 1,
}

Data Fields

text: A text where the sentiment expression is present.
label: a int representing the label 0for negative and 1for positive.

Data Splits

The data is split into a training, validation and test set. The final split sizes are as follow:

Train	Valid	Test
62089	20696	20697

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Various Swedish websites with product reviews.

Initial Data Collection and Normalization

Who are the source language producers?

Swedish

Annotations

[More Information Needed]

Annotation process

Automatically annotated based on user reviews on a scale 1-5, where 1-2 is considered negative and 4-5 is positive, 3 is skipped as it tends to be more neutral.