Datasets:

khushwant04
/

Research-Papers

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 79, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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AI & Machine Learning Research Papers Dataset

This dataset contains a curated collection of 1296 research papers focused on advancements in Artificial Intelligence and Machine Learning. It is intended as a resource for researchers, educators, and developers to explore and analyze diverse topics within AI and ML.

Dataset Summary

Total Papers: 1296
Domains Covered:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- And more!
Sources: Aggregated from reputable journals, conferences, and open-access archives.
Data Format: JSON or CSV (check files for specific formats)

Dataset Details

All the Data in Pdf formats.

Usage Examples

This dataset can be used for various research and development purposes:

Trend Analysis: Identify emerging trends and key topics in AI and ML over time.
Text Mining & NLP: Perform topic modeling, keyword extraction, or sentiment analysis on abstracts and keywords.
Citation Analysis: Study citation patterns to identify influential works or frequently cited topics.
Recommender Systems: Develop models to recommend related papers based on topics, keywords, or citation counts.

Getting Started

To use this dataset:

import subprocess

# Use subprocess.run for better practice
subprocess.run(['curl', '-L', 'https://huggingface.co/datasets/khushwant04/Research-Papers/resolve/main/research-papers.tar?download=true', '-o', 'research-papers.tar'], check=True)
subprocess.run(['tar', '-xf', 'research-papers.tar'], check=True)

License

This dataset is provided for academic and research purposes. Please adhere to the licensing terms of individual papers as specified by their publishers.

Citation

If you use this dataset in your research, please cite it as follows:

@dataset{ Research-Papers,
  title = {AI & Machine Learning Research Papers Dataset},
  author = {Khushwant Sanwalot},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/khushwant04/Research-Papers}
}

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