Aclairs/ALBERTFINALYEAR

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# AutoNLP Dataset for project: ALBERTFINALYEAR

## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)

## Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project ALBERTFINALYEAR.

### 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
[
{
"context": "Hasidic or Chasidic Judaism overlaps significantly with Haredi Judaism in its engagement with the se[...]",
"question": "What overlaps significantly with Haredi Judiasm?",
"answers.text": [
"Chasidic Judaism"
],
"answers.answer_start": [
11
]
},
{
"context": "Data compression can be viewed as a special case of data differencing: Data differencing consists of[...]",
"question": "What can classified as data differencing with empty source data?",
"answers.text": [
"Data compression",
"data compression"
],
"answers.answer_start": [
0,
400
]
}
]
```

### Dataset Fields

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

```json
{
"context": "Value(dtype='string', id=None)",
"question": "Value(dtype='string', id=None)",
"answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, 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 | 87433 |
| valid | 10544 |

原始信息汇总

AutoNLP Dataset for project: ALBERTFINALYEAR

数据集描述

• 语言: 数据集的语言标识符为unk。

数据集结构

数据实例

数据集中的样本示例如下： json [ { "context": "Hasidic or Chasidic Judaism overlaps significantly with Haredi Judaism in its engagement with the se[...]", "question": "What overlaps significantly with Haredi Judiasm?", "answers.text": [ "Chasidic Judaism" ], "answers.answer_start": [ 11 ] }, { "context": "Data compression can be viewed as a special case of data differencing: Data differencing consists of[...]", "question": "What can classified as data differencing with empty source data?", "answers.text": [ "Data compression", "data compression" ], "answers.answer_start": [ 0, 400 ] } ]

数据字段

数据集包含以下字段： json { "context": "Value(dtype=string, id=None)", "question": "Value(dtype=string, id=None)", "answers.text": "Sequence(feature=Value(dtype=string, id=None), length=-1, id=None)", "answers.answer_start": "Sequence(feature=Value(dtype=int32, id=None), length=-1, id=None)" }

数据分割

数据集分为训练集和验证集，分割大小如下：

分割名称	样本数量
训练集	87433
验证集	10544