イルカ番号_単語
コレクションでコンテンツを整理
必要に応じて、コンテンツの保存と分類を行います。
Dolphin Math Word 問題データセット (2015) ( https://www.microsoft.com/en-us/research/uploads/prod/2016/02//dolphin-sigmadolphin.datasets.pdf )
スプリット | 例 |
---|
'test' | 3,507 |
'train' | 864 |
FeaturesDict({
'ans': Text(shape=(), dtype=string),
'equations': Text(shape=(), dtype=string),
'id': Text(shape=(), dtype=string),
'index': int32,
'sources': Text(shape=(), dtype=string),
'text': Text(shape=(), dtype=string),
})
特徴 | クラス | 形 | Dタイプ | 説明 |
---|
| 特徴辞書 | | | |
答え | 文章 | | 弦 | |
方程式 | 文章 | | 弦 | |
ID | 文章 | | 弦 | |
索引 | テンソル | | int32 | |
ソース | 文章 | | 弦 | |
文章 | 文章 | | 弦 | |
@inproceedings{inproceedings,
author = {Shi, Shuming and Wang, Yuehui and Lin, Chin-Yew and Liu, Xiaojiang and Rui, Yong},
year = {2015},
month = {09},
pages = {},
title = {Automatically Solving Number Word Problems by Semantic Parsing and Reasoning},
doi = {10.18653/v1/D15-1135}
}
特に記載のない限り、このページのコンテンツはクリエイティブ・コモンズの表示 4.0 ライセンスにより使用許諾されます。コードサンプルは Apache 2.0 ライセンスにより使用許諾されます。詳しくは、Google Developers サイトのポリシーをご覧ください。Java は Oracle および関連会社の登録商標です。
最終更新日 2024-12-18 UTC。
[null,null,["最終更新日 2024-12-18 UTC。"],[],[],null,["# dolphin_number_word\n\n\u003cbr /\u003e\n\n- **Description**:\n\nDolphin Math Word Problem dataset (2015), as presented in\n\u003chttps://www.microsoft.com/en-us/research/uploads/prod/2016/02//dolphin-sigmadolphin.datasets.pdf\u003e\n\n- **Homepage** :\n \u003chttps://www.microsoft.com/en-us/research/project/sigmadolphin-2/\u003e\n\n- **Source code** :\n [`tfds.text.dolphin_number_word.DolphinNumberWord`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/text/dolphin_number_word/dolphin_number_word.py)\n\n- **Versions**:\n\n - `0.0.1`: Initial release.\n - `0.0.2`: RaggedTensor fix. Equations and Sources represented as a singlestring with components delimited by spaces\n - **`0.0.3`** (default): Reintroduced logic to handle edge-case involving examples without sources.\n- **Download size** : `280.42 KiB`\n\n- **Dataset size** : `1.49 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'test'` | 3,507 |\n| `'train'` | 864 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'ans': Text(shape=(), dtype=string),\n 'equations': Text(shape=(), dtype=string),\n 'id': Text(shape=(), dtype=string),\n 'index': int32,\n 'sources': Text(shape=(), dtype=string),\n 'text': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|-----------|--------------|-------|--------|-------------|\n| | FeaturesDict | | | |\n| ans | Text | | string | |\n| equations | Text | | string | |\n| id | Text | | string | |\n| index | Tensor | | int32 | |\n| sources | Text | | string | |\n| text | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('text', 'ans')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @inproceedings{inproceedings,\n author = {Shi, Shuming and Wang, Yuehui and Lin, Chin-Yew and Liu, Xiaojiang and Rui, Yong},\n year = {2015},\n month = {09},\n pages = {},\n title = {Automatically Solving Number Word Problems by Semantic Parsing and Reasoning},\n doi = {10.18653/v1/D15-1135}\n }"]]