metadata

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: input
      dtype: string
    - name: output
      dtype: string
  splits:
    - name: train
      num_bytes: 21642133
      num_examples: 10000
    - name: validation
      num_bytes: 6230302
      num_examples: 3000
    - name: test
      num_bytes: 6255318
      num_examples: 3000
  download_size: 17469502
  dataset_size: 34127753
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: mit
language:
  - en

Dataset Card for Scientific Papers - Cleaned

This dataset card provides information about the Scientific Papers - Cleaned dataset, a refined and curated version of scientific papers for research and natural language processing tasks.

Dataset Details

Dataset Description

The Scientific Papers - Cleaned dataset is a cleaned version of a larger collection of scientific papers. It is designed to provide structured input-output pairs for tasks such as text summarization, paraphrasing, or scientific language understanding. This dataset includes unique identifiers, input texts (e.g., abstracts or sections of papers), and corresponding output texts (e.g., summaries or rewritten versions).

Curated by: Wilbert Chandra (Username: Gilbert Krantzx)
Language(s) (NLP): English
License: MIT License

Dataset Sources

Original Repository: Hugging Face

Uses

Direct Use

The dataset can be used for various natural language processing tasks, including but not limited to:

Text summarization
Language modeling for scientific contexts
Textual entailment and paraphrase detection
Fine-tuning language models for scientific writing

Out-of-Scope Use

The dataset may not be suitable for:

Applications involving real-time decision-making systems without validation
Use cases where data sensitivity or misrepresentation of scientific context could lead to harm

Dataset Structure

The dataset consists of three splits: train, validation, and test.

Features

Feature	Type	Description
`id`	`int64`	Unique identifier for each record
`input`	`string`	Input text, such as a section or paragraph
`output`	`string`	Corresponding output text, such as a summary

Splits

Split	Size (bytes)	Examples
`train`	21,642,133	10,000
`validation`	6,230,302	3,000
`test`	6,255,318	3,000

Dataset Statistics

Download Size: 17.5 MB
Dataset Size: 34.1 MB

Dataset Creation

Curation Rationale

The dataset was created to facilitate research in text generation and summarization for scientific texts, emphasizing clarity and conciseness.

Source Data

Data Collection and Processing

The data originates from the Scientific Papers Archive. The original data has been cleaned and standardized to enhance usability, with processes applied to remove noise, standardize formats, and ensure quality.

Who are the source data producers?

The dataset is derived from scientific publications, with content generated by researchers, scientists, and academic professionals.

Bias, Risks, and Limitations

The dataset may contain biases inherent in its source material, such as overrepresentation of specific scientific disciplines or regions.

Recommendations

Users should exercise caution and validate findings, particularly in interdisciplinary or applied research contexts.

Citation

BibTeX:

@dataset{scientific_papers_cleaned,
  author = {Wilbert Chandra (Username: Gilbert Krantzx)},
  title = {Scientific Papers - Cleaned},
  year = {2024},
  howpublished = {Hugging Face Dataset Repository},
  url = {https://huggingface.co/GilbertKrantzx/scientific_papers-cleaned}
}

APA: Wilbert Chandra (Username: Gilbert Krantzx). (2024). Scientific Papers - Cleaned. Retrieved from https://huggingface.co/GilbertKrantzx/scientific_papers-cleaned

Dataset Card Contact

For inquiries, contact Wilbert Chandra (Username: Gilbert Krantzx) via the Hugging Face repository.

Let me know if this works!