Datasets:
File size: 1,375 Bytes
3144f8d f9197bc 3144f8d 26206b1 f9197bc 26206b1 f9197bc 26206b1 3144f8d 26206b1 f9197bc 26206b1 3144f8d 26206b1 3144f8d 26206b1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
dataset_info:
features:
- name: doc_id
dtype: string
- name: type
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 25324509618
num_examples: 806930
download_size: 9419131940
dataset_size: 25324509618
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- text-generation
language:
- hi
- en
pretty_name: long_context
size_categories:
- 100K<n<1M
---
# Dataset
This dataset was filtered from AI4BHarat dataset [sangraha](https://huggingface.co/datasets/ai4bharat/sangraha),which is the largest high-quality, cleaned Indic language pretraining data containing 251B tokens summed up over 22 languages, extracted from curated sources, existing multilingual corpora and large scale translations.
This dataset contains only Hindi as of now
# Information
* First this dataset is mainly for long context training
* The minimum len is `6000` and maximum len is `3754718`
# Getting started
For downloading the entire dataset:
```python
from datasets import load_dataset
dataset = load_dataset("damerajee/long_context_hindi")
```
If dataset is too big you can simply stream:
```python
from datasets import load_dataset
dataset = load_dataset("damerajee/long_context_hindi",split='train',streaming=True)
```
```python
dataset.take(2)
``` |