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- README.md +13 -0
- cleaned_json.parquet +3 -0
LICENSE.md
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MIT License
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Copyright (c) 2026 Amad Zarak
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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# c4-to-ontology-schema
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Amad Zarak
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February 21, 2026
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Created using `gpt-oss-120b` on h200 sxm
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Used 1000 rows of c4 dataset, after cleaning valid json got about 8700 rows.
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Planning on using it for structured information extraction
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Might refine approach later, but figured others could use this.
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Was very hard to find raw text to structured json datasets
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The idea here was to generate varied schemas for information extraction purposes
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Might have to refine later
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cleaned_json.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:edbfa5f38cfe2e6696232ccd3a45ca310a98e5beac2197d9190f159d238fbf0a
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size 30780991
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