mehr4n-m/autotrain-data-nllb_600_ft

---
task_categories:
- conditional-text-generation

---
# AutoTrain Dataset for project: nllb_600_ft

## Dataset Description

This dataset has been automatically processed by AutoTrain for project nllb_600_ft.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"feat_id": "772",
"feat_URL": "https://en.wikivoyage.org/wiki/Apia",
"feat_domain": "wikivoyage",
"feat_topic": "Travel",
"feat_has_image": "0",
"feat_has_hyperlink": "0",
"text": "All the ships were sunk, except for one British cruiser. Nearly 200 American and German lives were lost.",
"target": "\u0628\u0647\u200c\u062c\u0632 \u06cc\u06a9 \u06a9\u0634\u062a\u06cc \u062c\u0646\u06af\u06cc \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0647\u0645\u0647 \u06a9\u0634\u062a\u06cc\u200c\u0647\u0627 \u063a\u0631\u0642 \u0634\u062f\u0646\u062f\u060c \u0648 \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0647 200 \u0646\u0641\u0631 \u0622\u0645\u0631\u06cc\u06a9\u0627\u06cc\u06cc \u0648 \u0622\u0644\u0645\u0627\u0646\u06cc \u062c\u0627\u0646 \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646\u062f."
},
{
"feat_id": "195",
"feat_URL": "https://en.wikinews.org/wiki/Mitt_Romney_wins_Iowa_Caucus_by_eight_votes_over_surging_Rick_Santorum",
"feat_domain": "wikinews",
"feat_topic": "Politics",
"feat_has_image": "0",
"feat_has_hyperlink": "0",
"text": "Bachmann, who won the Ames Straw Poll in August, decided to end her campaign.",
"target": "\u0628\u0627\u062e\u0645\u0646\u060c \u06a9\u0647 \u062f\u0631 \u0645\u0627\u0647 \u0622\u06af\u0648\u0633\u062a \u0628\u0631\u0646\u062f\u0647 \u0646\u0638\u0631\u0633\u0646\u062c\u06cc \u0622\u0645\u0633 \u0627\u0633\u062a\u0631\u0627\u0648 \u0634\u062f\u060c \u062a\u0635\u0645\u06cc\u0645 \u06af\u0631\u0641\u062a \u06a9\u0645\u067e\u06cc\u0646 \u062e\u0648\u062f \u0631\u0627 \u062e\u0627\u062a\u0645\u0647 \u062f\u0647\u062f."
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"feat_id": "Value(dtype='string', id=None)",
"feat_URL": "Value(dtype='string', id=None)",
"feat_domain": "Value(dtype='string', id=None)",
"feat_topic": "Value(dtype='string', id=None)",
"feat_has_image": "Value(dtype='string', id=None)",
"feat_has_hyperlink": "Value(dtype='string', id=None)",
"text": "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 | 1608 |
| valid | 402 |

原始信息汇总

AutoTrain Dataset for project: nllb_600_ft

数据集描述

该数据集由AutoTrain自动处理，用于项目nllb_600_ft。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下所示：

json [ { "feat_id": "772", "feat_URL": "https://en.wikivoyage.org/wiki/Apia", "feat_domain": "wikivoyage", "feat_topic": "Travel", "feat_has_image": "0", "feat_has_hyperlink": "0", "text": "All the ships were sunk, except for one British cruiser. Nearly 200 American and German lives were lost.", "target": "u0628u0647u200cu062cu0632 u06ccu06a9 u06a9u0634u062au06cc u062cu0646u06afu06cc u0627u0646u06afu0644u06ccu0633u06cc u0647u0645u0647 u06a9u0634u062au06ccu200cu0647u0627 u063au0631u0642 u0634u062fu0646u062fu060c u0648 u0646u0632u062fu06ccu06a9 u0628u0647 200 u0646u0641u0631 u0622u0645u0631u06ccu06a9u0627u06ccu06cc u0648 u0622u0644u0645u0627u0646u06cc u062cu0627u0646 u062eu0648u062f u0631u0627 u0627u0632 u062fu0633u062a u062fu0627u062fu0646u062f." }, { "feat_id": "195", "feat_URL": "https://en.wikinews.org/wiki/Mitt_Romney_wins_Iowa_Caucus_by_eight_votes_over_surging_Rick_Santorum", "feat_domain": "wikinews", "feat_topic": "Politics", "feat_has_image": "0", "feat_has_hyperlink": "0", "text": "Bachmann, who won the Ames Straw Poll in August, decided to end her campaign.", "target": "u0628u0627u062eu0645u0646u060c u06a9u0647 u062fu0631 u0645u0627u0647 u0622u06afu0648u0633u062a u0628u0631u0646u062fu0647 u0646u0638u0631u0633u0646u062cu06cc u0622u0645u0633 u0627u0633u062au0631u0627u0648 u0634u062fu060c u062au0635u0645u06ccu0645 u06afu0631u0641u062a u06a9u0645u067eu06ccu0646 u062eu0648u062f u0631u0627 u062eu0627u062au0645u0647 u062fu0647u062f." } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "feat_id": "Value(dtype=string, id=None)", "feat_URL": "Value(dtype=string, id=None)", "feat_domain": "Value(dtype=string, id=None)", "feat_topic": "Value(dtype=string, id=None)", "feat_has_image": "Value(dtype=string, id=None)", "feat_has_hyperlink": "Value(dtype=string, id=None)", "text": "Value(dtype=string, id=None)", "target": "Value(dtype=string, id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	1608
valid	402