The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    FileNotFoundError
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 992, in _wrap_create_connection
                  return await self._loop.create_connection(*args, **kwargs)
                File "/usr/local/lib/python3.9/asyncio/", line 1090, in create_connection
                  transport, protocol = await self._create_connection_transport(
                File "/usr/local/lib/python3.9/asyncio/", line 1120, in _create_connection_transport
                  await waiter
                File "/usr/local/lib/python3.9/asyncio/", line 534, in data_received
                  ssldata, appdata = self._sslpipe.feed_ssldata(data)
                File "/usr/local/lib/python3.9/asyncio/", line 188, in feed_ssldata
                File "/usr/local/lib/python3.9/", line 945, in do_handshake
              ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for ''. (_ssl.c:1129)
              The above exception was the direct cause of the following exception:
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 414, in _info
                  await _file_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 845, in _file_info
                  r = await session.get(url, allow_redirects=ar, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 578, in _request
                  conn = await self._connector.connect(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 544, in connect
                  proto = await self._create_connection(req, traces, timeout)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 911, in _create_connection
                  _, proto = await self._create_direct_connection(req, traces, timeout)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 1235, in _create_direct_connection
                  raise last_exc
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 1204, in _create_direct_connection
                  transp, proto = await self._wrap_create_connection(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/", line 994, in _wrap_create_connection
                  raise ClientConnectorCertificateError(req.connection_key, exc) from exc
              aiohttp.client_exceptions.ClientConnectorCertificateError: Cannot connect to host ssl:True [SSLCertVerificationError: (1, "[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for ''. (_ssl.c:1129)")]
              The above exception was the direct cause of the following exception:
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/", line 126, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/", line 64, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/", line 103, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 1384, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 234, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/senti_ws/1dde0b4723828a26e10f6f036cd3912ff0ed83b7cbb31fb072f5624c20aa1a48/", line 124, in _generate_examples
                  with open(filepath, encoding="utf-8") as f:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 75, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/", line 506, in xopen
                  file_obj =, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 452, in open
                  out = open_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 280, in open_files
                  fs, fs_token, paths = get_fs_token_paths(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 622, in get_fs_token_paths
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 290, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 79, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 56, in __init__
         = fo.__enter__()  # the whole instance is a context
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 100, in __enter__
                  f =, mode=mode)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 1307, in open
                  f = self._open(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 353, in _open
                  size = size or, **kwargs)["size"]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 118, in wrapper
                  return sync(self.loop, func, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 103, in sync
                  raise return_result
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/", line 56, in _runner
                  result[0] = await coro
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/", line 427, in _info
                  raise FileNotFoundError(url) from exc

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Dataset Card for SentiWS

Dataset Summary

SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, opinion mining etc. It lists positive and negative polarity bearing words weighted within the interval of [-1; 1] plus their part of speech tag, and if applicable, their inflections. The current version of SentiWS contains around 1,650 positive and 1,800 negative words, which sum up to around 16,000 positive and 18,000 negative word forms incl. their inflections, respectively. It not only contains adjectives and adverbs explicitly expressing a sentiment, but also nouns and verbs implicitly containing one.

Supported Tasks and Leaderboards

Sentiment-Scoring, Pos-Tagging



Dataset Structure

Data Instances

For pos-tagging:

"pos_tag": 0

For sentiment-scoring:


Data Fields

SentiWS is UTF8-encoded text. For pos-tagging:

  • word: one word as a string,
  • pos_tag: the part-of-speech tag of the word as an integer, For sentiment-scoring:
  • word: one word as a string,
  • sentiment-score: the sentiment score of the word as a float between -1 and 1,

The POS tags are ["NN", "VVINF", "ADJX", "ADV"] -> ["noun", "verb", "adjective", "adverb"], and positive and negative polarity bearing words are weighted within the interval of [-1, 1].

Data Splits

train: 1,650 negative and 1,818 positive words

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]


Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License

Citation Information

@INPROCEEDINGS{remquahey2010, title = {SentiWS -- a Publicly Available German-language Resource for Sentiment Analysis}, booktitle = {Proceedings of the 7th International Language Resources and Evaluation (LREC'10)}, author = {Remus, R. and Quasthoff, U. and Heyer, G.}, year = {2010} }


Thanks to @harshalmittal4 for adding this dataset.

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