
# xsum-stacked

The current version (corresponding to the `stacked-booksum` release): `v0.3`. See the Stacked Summaries [org page](https://huggingface.co/stacked-summaries) for _what_ this is and why it exists.

The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer). 

## stats


```python
[2023-01-09 19:36:25] INFO:root:INPUTS - basic stats - train
[2023-01-09 19:36:26] INFO:root:{'num_columns': 5,
 'num_rows': 204045,
 'num_unique_target': 203107,
 'num_unique_text': 203846,
 'summary - average chars': 125.46,
 'summary - average tokens': 30.383719277610332,
 'text input - average chars': 2202.42,
 'text input - average tokens': 523.9222230390355}
[2023-01-10 02:34:29] INFO:root:stacked 204040 rows, 5 rows were ineligible
[2023-01-10 02:37:17] INFO:root:dropped 106 duplicate rows, 407979 rows remain
[2023-01-10 02:37:17] INFO:root:shuffling output with seed 1017
[2023-01-10 02:37:19] INFO:root:STACKED - basic stats - train
[2023-01-10 02:37:24] INFO:root:{'num_columns': 6,
 'num_rows': 407979,
 'num_unique_chapters': 407880,
 'num_unique_summaries': 407141,
 'summary - average chars': 2189.41,
 'summary - average tokens': 473.4450547699759,
 'text input - average chars': 33855.06,
 'text input - average tokens': 8039.657793660948}
```


## Citation

If you find this useful in your work, please consider citing us.

```
@misc {stacked_summaries_2023,
	author       = { {Stacked Summaries: Karim Foda and Peter Szemraj} },
	title        = { stacked-xsum (Revision bd7c88e) },
	year         = 2023,
	url          = { https://huggingface.co/datasets/stacked-summaries/stacked-xsum },
	doi          = { 10.57967/hf/0269 },
	publisher    = { Hugging Face }
}
```
task_categories:summarization size_categories:100K<n<1M source_datasets:xsum language:en license:apache-2.0 stacked summaries doi:10.57967/hf/0269 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["xsum"], "task_categories": ["summarization"], "pretty_name": "Stacked XSUM 16384", "tags": ["stacked summaries"]}
TAGS
#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us 


# xsum-stacked

The current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.

The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer). 

## stats





If you find this useful in your work, please consider citing us.


# xsum-stacked

The current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.

The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer). ## stats





If you find this useful in your work, please consider citing us.
TAGS
#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us 
 # xsum-stacked

The current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.

The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer). ## stats





If you find this useful in your work, please consider citing us.
passage: TAGS
#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us 
# xsum-stacked

The current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.

The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer).## stats





If you find this useful in your work, please consider citing us.