Datasets:
Formats:
imagefolder
Size:
1K - 10K
ArXiv:
Tags:
scientific-images
materials-science
scientific-figures
atomic-layer-deposition
atomic-layer-etching
multimodal
License:
Add Sci-ImageMiner Hugging Face dataset artifacts
Browse files- .gitattributes +3 -1
- README.md +9 -14
- test/metadata.jsonl +2 -2
- train/metadata.jsonl +2 -2
- validation/metadata.jsonl +2 -2
.gitattributes
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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test/metadata.jsonl filter=lfs diff=lfs merge=lfs -text
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train/metadata.jsonl filter=lfs diff=lfs merge=lfs -text
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validation/metadata.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -27,12 +27,6 @@ layer deposition (ALD) and atomic layer etching (ALE) publications in materials
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science. The schema is designed to support future scientific domains,
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subdomains, image types, data sources, and annotation tasks.
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Recommended repository id:
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```text
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SciKnowOrg/Sci-ImageMiner
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```
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This dataset contains mixed-rights content. Metadata and annotations are
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described as CC BY 4.0 in the upstream repository, while source images are
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publisher/author copyrighted and are provided for non-commercial research use
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| `subdomain` | Controlled scientific subdomain. |
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| `topic` | Reserved for curated lower-level topics or processes. |
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| `study_type` | Experimental or simulation study type. |
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| `classification` | Source classification
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| `summarization` | Source summarization
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| `data_extraction` | Source data extraction
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| `vqa` | Source visual question-answering
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| `bbox` | Source bounding
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| `source` | Publication and source-file provenance. |
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| `provenance` | Extraction and annotation provenance. |
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| `schema_version` | Dataset schema version. |
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The source annotation fields use panel ids such as `a`, `b`, and `c`
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## Images and Provenance
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science. The schema is designed to support future scientific domains,
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subdomains, image types, data sources, and annotation tasks.
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This dataset contains mixed-rights content. Metadata and annotations are
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described as CC BY 4.0 in the upstream repository, while source images are
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publisher/author copyrighted and are provided for non-commercial research use
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| `subdomain` | Controlled scientific subdomain. |
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| `topic` | Reserved for curated lower-level topics or processes. |
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| `study_type` | Experimental or simulation study type. |
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| `classification` | Source classification annotations as a list of `{panel_id, label}` entries. |
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| `summarization` | Source summarization annotations as a list of `{panel_id, summary}` entries. |
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| `data_extraction` | Source data extraction annotations as a list of `{panel_id, data}` entries. |
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| `vqa` | Source visual question-answering annotations as a list of `{panel_id, question_type, question, answer_type, answer}` entries. |
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| `bbox` | Source bounding boxes as a list of `{panel_id, x, y, width, height}` entries. |
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| `source` | Publication and source-file provenance. |
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| `provenance` | Extraction and annotation provenance. |
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| `schema_version` | Dataset schema version. |
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The source annotation fields use panel ids such as `a`, `b`, and `c`. They are
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stored as lists rather than arbitrary-key objects so that Hugging Face can infer
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a stable viewer schema. If an annotation type does not apply or was not provided
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for a figure, it is represented as an empty list.
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## Images and Provenance
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test/metadata.jsonl
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size 3384370
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train/metadata.jsonl
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size 6979632
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validation/metadata.jsonl
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size 1260312
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