Processed data from AutoTrain data processor ([2023-08-23 08:24 ]

README.md

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+---
+language:
+- en
+- zh
+task_categories:
+- translation
+
+---
+# AutoTrain Dataset for project: translation-en-zh
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project translation-en-zh.
+
+### Languages
+
+The BCP-47 code for the dataset's language is en2zh.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "source": "He goes on to say that his roots are in science and he has studied computers, etc.",
+    "target": "\u5118\u7ba1\u694a\u5fb7\u660c\u601d\u8def\u6e05\u6670\u3001\u689d\u7406\u5206\u660e\uff0c\u4f46\u4ed6\u4e5f\u662f\u611f\u60c5\u8c50\u5bcc\u3001\u6975\u5177\u8d64\u5b50\u4e4b\u5fc3\u7684\u300c\u5927\u9811\u7ae5\u300d\u3002\u300c\u6d77\u300d\u7247\u5973\u4e3b\u89d2\u5f35\u827e\u5609\u8aaa\uff1a\u300c\u694a\u5fb7\u660c\u5b78\u7684\u96d6\u662f\u7406\u5de5\uff0c\u4f46\u5c0d\u6587\u5b78\u3001\u7f8e\u8853\u3001\u793e\u6703\u5b78\u5747\u6709\u6d89\u7375\uff0c\u56e0\u6b64\u4f5c\u54c1\u5167\u5bb9\u6df1\u523b\u3001\u610f\u5883\u4ea6\u9ad8\u3002\u300d"
+  },
+  {
+    "source": "Britain repeatedly sent diplomatic missions carrying rich gifts to seek audiences with the Chinese emperor Qianlong, but they only brought back equally large numbers of gifts, and made no progress on the subject of trade.",
+    "target": "\u82f1\u570b\u6578\u5ea6\u6d3e\u9063\u4f7f\u7bc0\u5718\u651c\u91cd\u79ae\u5230\u4e2d\u570b\u6649\u898b\u4e7e\u9686\u7687\u5e1d\uff0c\u53ea\u5e36\u56de\u5927\u91cf\u79ae\u54c1\uff0c\u8cbf\u6613\u4e8b\u537b\u7121\u9032\u5c55\u3002"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "source": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 248732 |
+| valid        | 62184 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

processed/train/data-00000-of-00001.arrow

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+size 82577032

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 82515205,
+      "num_examples": 248732,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "38e76f6741d4d20b",
+  "_format_columns": [
+    "source",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

processed/valid/data-00000-of-00001.arrow

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+oid sha256:7dacb90db0a2ab63a19e0c5d0898694b0095a46ff2c09e3ca4f034d1f91456a9
+size 20640360

processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 20624430,
+      "num_examples": 62184,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "4da279ed926cc4d7",
+  "_format_columns": [
+    "source",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}