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--- |
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language: |
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- en |
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license: apache-2.0 |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- xsum |
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task_categories: |
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- summarization |
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pretty_name: 'Stacked XSUM: 1024 tokens max' |
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tags: |
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- stacked summaries |
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- xsum |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: document |
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dtype: string |
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- name: summary |
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dtype: string |
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- name: id |
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dtype: int64 |
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- name: chapter_length |
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dtype: int64 |
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- name: summary_length |
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dtype: int64 |
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- name: is_stacked |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 918588672 |
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num_examples: 320939 |
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- name: validation |
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num_bytes: 51154057 |
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num_examples: 17935 |
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- name: test |
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num_bytes: 51118088 |
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num_examples: 17830 |
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download_size: 653378162 |
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dataset_size: 1020860817 |
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--- |
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|
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# stacked-xsum-1024 |
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a "stacked" version of `xsum` |
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|
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1. Original Dataset: copy of the base dataset |
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|
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2. Stacked Rows: The original dataset is processed by stacking rows based on certain criteria: |
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- Maximum Input Length: The maximum length for input sequences is 1024 tokens in the longt5 model tokenizer. |
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- Maximum Output Length: The maximum length for output sequences is also 1024 tokens in the longt5 model tokenizer. |
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3. Special Token: The dataset utilizes the `[NEXT_CONCEPT]` token to indicate a new topic **within** the same summary. It is recommended to explicitly add this special token to your model's tokenizer before training, ensuring that it is recognized and processed correctly during downstream usage. |
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4. |
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## updates |
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|
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- dec 3: upload initial version |
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- dec 4: upload v2 with basic data quality fixes (i.e. the `is_stacked` column) |
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- dec 5 0500: upload v3 which has pre-randomised order and duplicate rows for document+summary dropped |
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## stats |
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|
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 |
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|
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## dataset details |
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see the repo `.log` file for more details. |
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train input |
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|
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```python |
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[2022-12-05 01:05:17] INFO:root:INPUTS - basic stats - train |
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[2022-12-05 01:05:17] INFO:root:{'num_columns': 5, |
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'num_rows': 204045, |
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'num_unique_target': 203107, |
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'num_unique_text': 203846, |
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'summary - average chars': 125.46, |
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'summary - average tokens': 30.383719277610332, |
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'text input - average chars': 2202.42, |
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'text input - average tokens': 523.9222230390355} |
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``` |
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stacked train: |
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```python |
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[2022-12-05 04:47:01] INFO:root:stacked 181719 rows, 22326 rows were ineligible |
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[2022-12-05 04:47:02] INFO:root:dropped 64825 duplicate rows, 320939 rows remain |
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[2022-12-05 04:47:02] INFO:root:shuffling output with seed 323 |
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[2022-12-05 04:47:03] INFO:root:STACKED - basic stats - train |
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[2022-12-05 04:47:04] INFO:root:{'num_columns': 6, |
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'num_rows': 320939, |
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'num_unique_chapters': 320840, |
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'num_unique_summaries': 320101, |
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'summary - average chars': 199.89, |
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'summary - average tokens': 46.29925001324239, |
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'text input - average chars': 2629.19, |
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'text input - average tokens': 621.541532814647} |
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``` |
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|
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## Citation |
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If you find this useful in your work, please consider citing us. |
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|
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``` |
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@misc {stacked_summaries_2023, |
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author = { {Stacked Summaries: Karim Foda and Peter Szemraj} }, |
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title = { stacked-xsum-1024 (Revision 2d47220) }, |
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year = 2023, |
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url = { https://huggingface.co/datasets/stacked-summaries/stacked-xsum-1024 }, |
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doi = { 10.57967/hf/0390 }, |
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publisher = { Hugging Face } |
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} |
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``` |
