Datasets:

OzoneAsai
/

calculation

Languages:

License:

Dataset card Files Files and versions Community

Dataset Viewer

Full Screen Viewer

Full Screen

Split (1)

train

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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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

Downloads last month: 853

Edit dataset card