# AutoTrain Dataset for project: test-qa

## Dataset Description

This dataset has been automatically processed by AutoTrain for project test-qa.

### 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": "['scriptures,which lay down the discipline.If you adhere strictly to the path of virtue and stick to the yearning, you can become an ascetic of the highestorder, a realised sage, though you may now be a novice or even a non-believer!Sometimes, by just seizing a chance, you can elevate yourselves steadily. Someone comes to Me to get hisstomach-ache cured; then he likes this place and its atmosphere and its chanting of Om (Omkara) and devotionalsinging (bhajana) and its peace (prasanthi); he sees Me and observes My movements and words and actions. Hetakes home a picture or a song book, and before']",
    "question": " The passage is mainly about _.",
    "answers.text": [
      " how to become a realised sage"
    ],
    "answers.answer_start": [
      0
    ],
    "feat_id": [
      1477
    ],
    "feat_Answer_end": [
      29
    ],
    "feat_title": [
      null
    ]
  },
  {
    "context": "[\"abidesThey will never enter the world of darkness and wretchedness whose minds are the abode of kindnessWho for undying souls of men provides with gracious zeal, In his own soul the dreaded guilt of sin shall never feel(The wise) say that the evils, which his soul would dread, will never come upon the man who exercises kindness and protects the life (of other creatures)The teeming earth's vast realm, round which the wild winds blow, Is witness, men of 'grace' no woeful want shall knowThis great rich earth over which the wind blows, is a witness that sorrow never comes upon the kind-hearted Gain of true wealth oblivious they eschew,Who 'grace' forsake, and graceless actions do(The wise) say that those who neglect kindness and practise cruelties, neglected virtue (in their former birth), and forgot (the sorrows which they must suffer)As to impoverished men this present world is not; The 'graceless' in you world have neither part nor lotAs this world is not for those who are without wealth, so that world is not for those who are without kindnessWho lose the flower of wealth, when seasons change, again may bloom; Who lose 'benevolence', lose all; nothing can change their doomThose who are without wealth may, at some future time, become prosperous; those who are destitute of kindness are utterly destitute; for them there is no changeWhen souls unwise true wisdom's mystic vision see, The 'graceless' man may work true works of charityIf you consider, the virtue of him who is without kindness is like the perception of the true being by him who is without wisdom0When weaker men you front with threat'ning brow, Think how you felt in presence of some stronger foeWhen a man is about to rush upon those who are weaker than himself, let him remember how he has stood (trembling) before those who are stronger than himself  The Renunciation of FleshHow can the wont of 'kindly grace' to him be known, Who other creatures' flesh consumes to feed his own?How can he be possessed of kindness, who to increase his own flesh, eats the flesh of other creaturesNo use of wealth have they who guard not their estate; No use of grace have they with flesh who hunger sateAs those possess no property who do not take care of it, so those possess no kindness who feed on fleshLike heart of them that murderous weapons bear, his mind, Who eats of savoury meat, no joy in good can findLike the (murderous) mind of him who carries a weapon (in his hand), the mind of him who feasts with pleasure on the body of another (creature), has no regard for goodness 'What's grace, or lack of grace'? 'To kill' is this, that 'not to kill'; To eat dead flesh can never worthy end fulfilIf it be asked what is kindness and what its opposite, the answer would be preservation and destruction of life; and therefore it is not right to feed on the flesh (obtained by taking\"]",
    "question": "The author's attitude towards the 'graceless' is _.",
    "answers.text": [
      "objective"
    ],
    "answers.answer_start": [
      0
    ],
    "feat_id": [
      155
    ],
    "feat_Answer_end": [
      8
    ],
    "feat_title": [
      null
    ]
  }
]
```

### 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)",
  "feat_id": "Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)",
  "feat_Answer_end": "Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)",
  "feat_title": "Sequence(feature=Value(dtype='string', 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        | 1499 |
| valid        | 375 |

region:us
{}
TAGS
#region-us 

AutoTrain Dataset for project: test-qa
======================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project test-qa.


### Languages


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


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


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


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#region-us 
 ### Languages


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


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#region-us 
### Languages


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


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow: