arxiv_dataset

ds = tfds.load('huggingface:arxiv_dataset')

A dataset of 1.7 million arXiv articles for applications like trend analysis, paper recommender engines, category prediction, co-citation networks, knowledge graph construction and semantic search interfaces.

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "submitter": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "authors": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "comments": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "journal-ref": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doi": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "report-no": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "categories": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "license": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "abstract": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "update_date": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}