Datasets:
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---
task_categories:
- summarization
language:
- en
pretty_name: GovReport Summarization - 8192 tokens
size_categories:
- 1K<n<10K
source_datasets: ccdv/govreport-summarization
---
# GovReport Summarization - 8192 tokens
- `ccdv/govreport-summarization` with the changes of:
- total tokens for each column computed and added in new columns according to the `long-t5` tokenizer
- data cleaned with `clean-text`
## train info
```python
RangeIndex: 8196 entries, 0 to 8195
Data columns (total 4 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 report 8196 non-null string
1 summary 8196 non-null string
2 input_token_len 8196 non-null Int64
3 summary_token_len 8196 non-null Int64
dtypes: Int64(2), string(2)
```
## token length distribution (long-t5)
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