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Datasets:
OzoneAsai
/
calculation

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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      datasets/OzoneAsai/calculation@6b65ffa81ac1b166c98a18e33d229f619676e16d/calculation
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 99, in _generate_tables
                  with open(file, "rb") as f:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1227, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
                  return self.__enter__()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
                  f = self._open(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 242, in _open
                  return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 699, in __init__
                  self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 532, in info
                  self.ls(parent_path, expand_info=False)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 300, in ls
                  _raise_file_not_found(path, None)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 888, in _raise_file_not_found
                  raise FileNotFoundError(msg) from err
              FileNotFoundError: datasets/OzoneAsai/calculation@6b65ffa81ac1b166c98a18e33d229f619676e16d/calculation

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YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for Calculation

size

JSON file: output1.json≒1.3GB ~ output60.json In total 70 ~ 80GB

Dataset Summary

en: Calculation. Its range will be expanded later.

zh: 计算。其范围将在以后扩展。

de: Berechnung. Der Umfang wird später erweitert werden.

ru: Расчет. Его диапазон будет расширен позже.

ko: 계산. 범위는 나중에 확장될 것입니다.

fr: Calcul. Sa portée sera étendue ultérieurement.

ja: 計算。範囲は後で拡張されます。

Supported Tasks and Leaderboards

en: conversation, instruction

zh: 会话，指令

de: Unterhaltung, Anweisung

ru: разговор, инструкция

ko: 대화, 지시사항

fr: conversation, instruction

ja: 会話、指示

Languages

en: It only used numbers and symbols. So any language is able to use this.

zh: 该数据集只使用数字和符号。因此任何语言都可以使用它。

de: Es werden nur Zahlen und Symbole verwendet. Daher kann diese Datenbank von jeder Sprache verwendet werden.

ru: В нем используются только цифры и символы. Таким образом, любой язык может использовать его.

ko: 숫자와 기호만 사용되었습니다. 그래서 모든 언어에서 사용할 수 있습니다.

fr: Il n'utilise que des chiffres et des symboles. Ainsi, n'importe quelle langue peut l'utiliser.

ja: 数字と記号のみが使用されています。したがって、どんな言語でも使用できます.

Dataset Structure

Input, output,

Translation

Translated by ChatGPT

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