|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: id |
|
|
dtype: string |
|
|
- name: submitter |
|
|
dtype: string |
|
|
- name: authors |
|
|
dtype: string |
|
|
- name: title |
|
|
dtype: string |
|
|
- name: comments |
|
|
dtype: string |
|
|
- name: journal-ref |
|
|
dtype: string |
|
|
- name: doi |
|
|
dtype: string |
|
|
- name: report-no |
|
|
dtype: string |
|
|
- name: categories |
|
|
dtype: string |
|
|
- name: license |
|
|
dtype: string |
|
|
- name: orig_abstract |
|
|
dtype: string |
|
|
- name: versions |
|
|
list: |
|
|
- name: created |
|
|
dtype: string |
|
|
- name: version |
|
|
dtype: string |
|
|
- name: update_date |
|
|
dtype: string |
|
|
- name: authors_parsed |
|
|
sequence: |
|
|
sequence: string |
|
|
- name: abstract |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 295844767.0072125 |
|
|
num_examples: 137136 |
|
|
- name: test |
|
|
num_bytes: 63396848.15103951 |
|
|
num_examples: 29387 |
|
|
- name: validation |
|
|
num_bytes: 63394690.841747954 |
|
|
num_examples: 29386 |
|
|
download_size: 236976269 |
|
|
dataset_size: 422636305.99999994 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
- split: validation |
|
|
path: data/validation-* |
|
|
--- |
|
|
|
|
|
|
|
|
# Dataset Card for hep-ph_gr-qc_primary Dataset |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
- **Homepage:** [Kaggle arXiv Dataset Homepage](https://www.kaggle.com/Cornell-University/arxiv) |
|
|
- **Repository:** [hepthLlama](https://github.com/Paul-Richmond/hepthLlama) |
|
|
- **Paper:** [tbd](tbd) |
|
|
- **Point of Contact:** [Paul Richmond](mailto:p.richmond@qmul.ac.uk) |
|
|
|
|
|
### Dataset Summary |
|
|
This dataset contains metadata included in arXiv submissions. |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
### Languages |
|
|
|
|
|
The text in the `abstract` field of the dataset is in English, however there may be examples |
|
|
where the abstract also contains a translation into another language. |
|
|
|
|
|
## Dataset Creation |
|
|
|
|
|
### Curation Rationale |
|
|
The starting point was to load v193 of the Kaggle arXiv Dataset which includes arXiv submissions upto 23rd August 2024. |
|
|
The arXiv dataset contains the following data fields: |
|
|
- `id`: ArXiv ID (can be used to access the paper) |
|
|
- `submitter`: Who submitted the paper |
|
|
- `authors`: Authors of the paper |
|
|
- `title`: Title of the paper |
|
|
- `comments`: Additional info, such as number of pages and figures |
|
|
- `journal-ref`: Information about the journal the paper was published in |
|
|
- `doi`: [Digital Object Identifier](https://www.doi.org) |
|
|
- `report-no`: Report Number |
|
|
- `abstract`: The abstract of the paper |
|
|
- `categories`: Categories / tags in the ArXiv system |
|
|
|
|
|
To arrive at the hep-ph_gr-qc_primary dataset, the full arXiv data |
|
|
was filtered so that only `categories` which included 'hep-ph' or 'gr-qc' were retained. |
|
|
This resulted in papers that were either primarily classified as 'hep-ph' or 'gr-qc' or appeared cross-listed. |
|
|
For this dataset, the decision was made to focus only on papers primarily classified as either 'hep-ph' or 'gr-qc'. |
|
|
This meant taking only those abstracts where the first characters in `categories` were either 'hep-ph' or 'gr-qc' |
|
|
(see [here](https://info.arxiv.org/help/arxiv_identifier_for_services.html#indications-of-classification) for more details). |
|
|
|
|
|
We also dropped entries whose `abstract` or `comments` contained the word 'Withdrawn' or 'withdrawn' and we removed the five records which appear in the repo `LLMsForHepth/arxiv_hepth_first_overfit`. |
|
|
|
|
|
In addition, we have cleaned the data appearing in `abstract` by first replacing all occurences of '\n' with a whitespace and then removing any leading and trailing whitespace. |
|
|
|
|
|
### Data splits |
|
|
|
|
|
The dataset is split into a training, validation and test set with split percentages 70%, 15% and 15%. This was done by applying `train_test_split` twice (both with `seed=42`). |
|
|
The final split sizes are as follows: |
|
|
|
|
|
| Train | Test | Validation | |
|
|
|:---:|:---:|:---:| |
|
|
|137,136 | 29,387| 29,386 | |
