text
stringlengths 0
460
|
|---|
Attribution 4.0 International
|
=======================================================================
|
Creative Commons Corporation ("Creative Commons") is not a law firm and
|
does not provide legal services or legal advice. Distribution of
|
Creative Commons public licenses does not create a lawyer-client or
|
other relationship. Creative Commons makes its licenses and related
|
information available on an "as-is" basis. Creative Commons gives no
|
warranties regarding its licenses, any material licensed under their
|
terms and conditions, or any related information. Creative Commons
|
disclaims all liability for damages resulting from their use to the
|
fullest extent possible.
|
Using Creative Commons Public Licenses
|
Creative Commons public licenses provide a standard set of terms and
|
conditions that creators and other rights holders may use to share
|
original works of authorship and other material subject to copyright
|
and certain other rights specified in the public license below. The
|
following considerations are for informational purposes only, are not
|
exhaustive, and do not form part of our licenses.
|
Considerations for licensors: Our public licenses are
|
intended for use by those authorized to give the public
|
permission to use material in ways otherwise restricted by
|
copyright and certain other rights. Our licenses are
|
irrevocable. Licensors should read and understand the terms
|
and conditions of the license they choose before applying it.
|
Licensors should also secure all rights necessary before
|
applying our licenses so that the public can reuse the
|
material as expected. Licensors should clearly mark any
|
material not subject to the license. This includes other CC-
|
licensed material, or material used under an exception or
|
limitation to copyright. More considerations for licensors:
|
wiki.creativecommons.org/Considerations_for_licensors
|
Considerations for the public: By using one of our public
|
licenses, a licensor grants the public permission to use the
|
licensed material under specified terms and conditions. If
|
the licensor's permission is not necessary for any reason--for
|
example, because of any applicable exception or limitation to
|
copyright--then that use is not regulated by the license. Our
|
licenses grant only permissions under copyright and certain
|
other rights that a licensor has authority to grant. Use of
|
the licensed material may still be restricted for other
|
reasons, including because others have copyright or other
|
rights in the material. A licensor may make special requests,
|
such as asking that all changes be marked or described.
|
Although not required by our licenses, you are encouraged to
|
respect those requests where reasonable. More considerations
|
for the public:
|
wiki.creativecommons.org/Considerations_for_licensees
|
=======================================================================
|
Creative Commons Attribution 4.0 International Public License
|
By exercising the Licensed Rights (defined below), You accept and agree
|
to be bound by the terms and conditions of this Creative Commons
|
Attribution 4.0 International Public License ("Public License"). To the
|
extent this Public License may be interpreted as a contract, You are
|
granted the Licensed Rights in consideration of Your acceptance of
|
these terms and conditions, and the Licensor grants You such rights in
|
consideration of benefits the Licensor receives from making the
|
Licensed Material available under these terms and conditions.
|
Section 1 -- Definitions.
|
a. Adapted Material means material subject to Copyright and Similar
|
Rights that is derived from or based upon the Licensed Material
|
and in which the Licensed Material is translated, altered,
|
arranged, transformed, or otherwise modified in a manner requiring
|
permission under the Copyright and Similar Rights held by the
|
Licensor. For purposes of this Public License, where the Licensed
|
Material is a musical work, performance, or sound recording,
|
Adapted Material is always produced where the Licensed Material is
|
synched in timed relation with a moving image.
|
b. Adapter's License means the license You apply to Your Copyright
|
and Similar Rights in Your contributions to Adapted Material in
|
accordance with the terms and conditions of this Public License.
|
c. Copyright and Similar Rights means copyright and/or similar rights
|
closely related to copyright including, without limitation,
|
performance, broadcast, sound recording, and Sui Generis Database
|
Rights, without regard to how the rights are labeled or
|
categorized. For purposes of this Public License, the rights
|
specified in Section 2(b)(1)-(2) are not Copyright and Similar
|
Rights.
|
d. Effective Technological Measures means those measures that, in the
|
absence of proper authority, may not be circumvented under laws
|
fulfilling obligations under Article 11 of the WIPO Copyright
|
Treaty adopted on December 20, 1996, and/or similar international
|
agreements.
|
e. Exceptions and Limitations means fair use, fair dealing, and/or
|
any other exception or limitation to Copyright and Similar Rights
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_categories "optical-character-recognition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata
Warning:
The task_categories "information-extraction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Receipt Dataset — Standardized & AI-Assisted Annotations
This dataset contains 2800 receipt images with paired JSON annotations, curated and standardized from multiple publicly available receipt datasets.
Structure
receipts/— receipt imagesannotations/— JSON annotations (paired by filename)MANIFEST.csv— sample indexNOTICE.md— attribution and methodologylicenses/— upstream license texts
Annotation methodology
Annotations were created using:
- original dataset annotations (where available)
- AI-assisted OCR and information extraction using commercial AI models
- manual review and normalization
Annotations are model-assisted labels intended for training and evaluation.
Source breakdown
sroie: 971 zenodo: 813 cord: 798 express: 198
Full dataset download
The full dataset is provided as a single archive:
receipt_dataset_2780.tgz(containsreceipts/andannotations/)receipt_dataset_2780.tgz.sha256(checksum)
Extract:
tar -xzf receipt_dataset_2780.tgz
## Licensing
This dataset redistributes upstream datasets under their original licenses.
See `NOTICE.md` and `licenses/` for full details.
- Downloads last month
- 7