Processed data from AutoTrain data processor ([2023-06-14 22:00 ]

README.md

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+---
+language:
+- en
+- ar
+task_categories:
+- translation
+
+---
+# AutoTrain Dataset for project: fhdd_arabic_chatbot
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project fhdd_arabic_chatbot.
+
+### Languages
+
+The BCP-47 code for the dataset's language is en2ar.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "feat_sourceLang": "ara",
+    "feat_targetlang": "eng",
+    "target": "\u064a\u0646\u0628\u063a\u064a \u0623\u0646 \u062a\u064f\u0638\u0647\u0631 \u0627\u0644\u0646\u0651\u0633\u0627\u0621 \u0648\u062c\u0648\u0647\u0647\u0646\u0651.",
+    "source": "Women should have their faces visible."
+  },
+  {
+    "feat_sourceLang": "ara",
+    "feat_targetlang": "eng",
+    "target": "\u0623\u062a\u062f\u0631\u0633 \u0627\u0644\u0625\u0646\u062c\u0644\u064a\u0632\u064a\u0629\u061f",
+    "source": "Do you study English?"
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "feat_sourceLang": "Value(dtype='string', id=None)",
+  "feat_targetlang": "Value(dtype='string', id=None)",
+  "target": "Value(dtype='string', id=None)",
+  "source": "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        | 15622 |
+| valid        | 3906 |

processed/dataset_dict.json

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

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

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processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_sourceLang": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "feat_targetlang": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 1603243,
+      "num_examples": 15622,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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

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

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processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "feat_sourceLang": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "feat_targetlang": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "target": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "source": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 408689,
+      "num_examples": 3906,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
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+    {
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+    }
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+  "_fingerprint": "771a33e09c2f7399",
+  "_format_columns": [
+    "feat_sourceLang",
+    "feat_targetlang",
+    "source",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}