Upload 15 files

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+restricted_recipes/imagenet_clip_text/manifests/train.jsonl filter=lfs diff=lfs merge=lfs -text
+restricted_recipes/imagenet_handwriting/manifests/train.jsonl filter=lfs diff=lfs merge=lfs -text

HF_PACK_FILE_INVENTORY.tsv

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HF_PACK_MANIFEST.json

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+}

LICENSE

@@ -0,0 +1,16 @@
+CLIP-MUX TRAINING DATA PACK — MIXED COMPONENT LICENSES
+
+This repository does not have a single uniform license. The applicable terms are determined by component path.
+
+1. Project-authored material explicitly marked CC0 1.0 Universal is dedicated/waived under CC0 to the extent the contributor holds the relevant rights.
+   Canonical terms: https://creativecommons.org/publicdomain/zero/1.0/
+
+2. The CLEVR derivative and TextCaps-derived runtime metadata are distributed under CC BY 4.0 and require the attribution described in their component directories.
+   Canonical terms: https://creativecommons.org/licenses/by/4.0/
+
+3. SPRIGHT-COCO-derived labels/metadata are distributed subject to the Intel Research Use License used by the upstream SPRIGHT-COCO dataset.
+   Upstream license: https://huggingface.co/datasets/SPRIGHT-T2I/spright_coco/blob/main/LICENSE
+
+4. ImageNet images are not distributed. ImageNet/WordNet-derived metadata and any locally constructed ImageNet derivatives remain subject to applicable upstream terms. Project-authored recipe contributions are separately marked CC0 where appropriate.
+
+See each component's LICENSE / NOTICE / ATTRIBUTION file for scope and provenance.

README.md

@@ -0,0 +1,148 @@
+---
+pretty_name: CLIP-MUX Training Data Pack
+language:
+- en
+license: other
+license_name: mixed-component-licenses
+license_link: https://huggingface.co/datasets/zer0int/CLIP-Cross-Attn-MUX-Training-Data-Pack/blob/main/LICENSE
+tags:
+- clip
+- vision-language
+- image-text
+- robustness
+- training-data
+- reproducibility
+configs:
+- config_name: clevr
+  data_files:
+  - split: train
+    path: shareable_assets/clevr/data/train-*.parquet
+  - split: validation
+    path: shareable_assets/clevr/data/validation-*.parquet
+- config_name: handwriting_overlays
+  data_files:
+  - split: train
+    path: shareable_assets/handwriting_overlays/data/train-*.parquet
+- config_name: salt_n_pepper
+  data_files:
+  - split: train
+    path: shareable_assets/salt_n_pepper/data/train-*.parquet
+---
+
+# CLIP-MUX Training Data Pack
+
+This repository is the data/metadata companion for reproducing the CLIP-MUX / x-attention CLIP training pipeline. It is **not one monolithic dataset under one license**. Each component is independently scoped and carries its own `LICENSE` or `NOTICE` file.
+
+The pack intentionally separates:
+
+- assets that can be redistributed directly;
+- runtime labels/manifests derived from upstream datasets;
+- recipes for datasets that users must construct from separately obtained restricted inputs.
+
+## Contents and licenses
+
+| Path | Contents | Distribution / license |
+| --- | --- | --- |
+| `shareable_assets/clevr/` | Selected/preprocessed CLEVR subset used by CLIP-MUX | **CC BY 4.0**, inherited from CLEVR; see component `LICENSE` and `ATTRIBUTION.md` |
+| `shareable_assets/handwriting_overlays/` | Handwriting overlay assets created for this project | **CC0 1.0 Universal** for rights held by the contributor |
+| `shareable_assets/salt_n_pepper/` | Salt/pepper image set created for this project | **CC0 1.0 Universal** for rights held by the contributor |
+| `runtime_metadata/overlay_selection/` | Overlay word bank and orthographic grouping metadata | **CC0 1.0 Universal** |
+| `runtime_metadata/textcaps/` | CLIP-MUX runtime manifests derived from TextCaps | **CC BY 4.0**; see component `LICENSE` and `ATTRIBUTION.md` |
+| `runtime_metadata/coco_spright/` | CLIP-MUX short/reworded SPRIGHT-COCO labels and trusted-reading metadata | **Intel Research Use License**, following the upstream SPRIGHT-COCO material from which these labels are derived |
+| `runtime_metadata/imagenet/` | Convenience ImageNet/WordNet class metadata | **Upstream terms apply**; no independent CC0 grant is asserted for upstream metadata |
+| `restricted_recipes/imagenet_clip_text/` | Portable recipe/manifests for building the digital-text ImageNet derivative | Project-authored recipe contributions are **CC0 1.0**; this does **not** grant rights to ImageNet images or other upstream material |
+| `restricted_recipes/imagenet_handwriting/` | Portable recipe/manifests for building the handwriting ImageNet derivative | Project-authored recipe contributions are **CC0 1.0**; this does **not** grant rights to ImageNet images or other upstream material |
+
+The repository-level license metadata is therefore `other`: **the applicable license is determined by component path**.
+
+## Redistributed assets
+
+### CLEVR subset
+
+The CLEVR component is a selected/preprocessed derivative of the CLEVR dataset. The original CLEVR data is released under CC BY 4.0.
+
+Changes made for this training corpus include square-crop/selection preprocessing intended to preserve depicted objects for CLIP training; samples for which an acceptable object-preserving crop could not be produced were excluded. Compact object metadata used by the training pipeline is included alongside the images.
+
+Upstream project: <https://cs.stanford.edu/people/jcjohns/clevr/>
+
+### Handwriting overlays
+
+These overlay assets were created for this project and are released under CC0 1.0 Universal to the extent the contributor holds copyright or related rights in them.
+
+### Salt and pepper image set
+
+This project-specific image set is released under CC0 1.0 Universal to the extent the contributor holds copyright or related rights in the material. Some images may have been produced using generative-AI tools. CC0 applies only to rights, if any, held by the contributor; it does not create rights in material that is not protectable or grant third-party trademark, privacy, publicity, or other rights.
+
+## Upstream datasets reconstructed by the preparation script
+
+### TextCaps
+
+CLIP-MUX uses TextCaps images and human reference captions/OCR information. The development copy was obtained through `shwetkm/TextCaps-Caption-Summary`; generated summary/QA fields are not part of the CLIP-MUX runtime representation. The preparation tool downloads the upstream Hugging Face dataset and materializes the image/manifests layout expected by the training loader.
+
+TextCaps is distributed under CC BY 4.0.
+
+- Official TextCaps site: <https://textvqa.org/textcaps/download/>
+- Acquisition source used by this project: <https://huggingface.co/datasets/shwetkm/TextCaps-Caption-Summary>
+
+### SPRIGHT-COCO
+
+The preparation tool obtains images from `SPRIGHT-T2I/spright_coco` and reconstructs the `data/<shard>/<key>.jpg` layout expected by the training code. This pack contains the CLIP-MUX training label variants and trusted-reading metadata, but does not duplicate the upstream image payload.
+
+SPRIGHT-COCO is distributed under the Intel Research Use License.
+
+Upstream dataset: <https://huggingface.co/datasets/SPRIGHT-T2I/spright_coco>
+
+## Restricted-input recipes: ImageNet
+
+ImageNet images are **not distributed** in this repository. Users must obtain ImageNet independently under its applicable terms and provide a local ImageNet root to the preparation script.
+
+The recipe manifests in `restricted_recipes/` contain portable relative references and project-authored construction metadata for reproducing the digital-text and handwriting-overlay derivatives used during training. Any CC0 dedication in those folders covers only project-authored recipe contributions and does not change the terms governing ImageNet or WordNet material.
+
+ImageNet access/terms: <https://image-net.org/>
+
+## Intended use
+
+This pack exists to make the accompanying CLIP-MUX training code reproducible without requiring users to reconstruct project-specific preprocessing, label shortening, word-avoidance rewrites, overlay selections, or small shareable corpora by hand.
+
+It is designed for research and model-training workflows subject to the license of each component and any independently obtained upstream datasets.
+
+## Data preparation
+
+The Git repository provides a preparation utility that will eventually support a workflow of the form:
+
+```bash
+python prepare_training_data.py \
+    --data-root /path/to/clip_mux_data \
+    --imagenet-root /path/to/ILSVRC2012
+```
+
+The utility is responsible for downloading shareable project assets, obtaining TextCaps/SPRIGHT from their upstream locations, validating runtime metadata, and constructing ImageNet-derived datasets locally from the user's own ImageNet copy.
+
+## Attribution and provenance
+
+Attribution required by upstream licenses is recorded in the relevant component directories. The component-scoped license/notice files take precedence over any general description in this card.
+
+## No warranty
+
+The data and metadata are provided for reproducibility and research use without warranty. Users are responsible for complying with the terms of upstream datasets and for determining whether their intended use is permitted.
+
+## Hugging Face representation
+
+The redistributable image payloads are stored as Parquet with embedded image bytes. The
+repository exposes three explicit Hugging Face dataset configurations:
+
+```python
+from datasets import load_dataset
+
+clevr = load_dataset("REPO_ID", "clevr")
+handwriting = load_dataset("REPO_ID", "handwriting_overlays")
+salt_pepper = load_dataset("REPO_ID", "salt_n_pepper")
+```
+
+The remaining runtime metadata and reconstruction recipes intentionally stay as ordinary
+JSON/JSONL/CSV/TXT repository files. They are consumed by the CLIP-MUX data-preparation
+utility rather than treated as independent tabular dataset configurations.
+
+Parquet image records embed the original bytes and store only portable basenames in the
+image `path` field. Local staging paths are not part of the published representation.
+

THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+This repository combines project-authored material with components derived from separately licensed datasets.
+
+- **CLEVR** — CC BY 4.0: <https://cs.stanford.edu/people/jcjohns/clevr/>
+- **TextCaps** — CC BY 4.0: <https://textvqa.org/textcaps/download/>
+- **SPRIGHT-COCO** — Intel Research Use License: <https://huggingface.co/datasets/SPRIGHT-T2I/spright_coco>
+- **ImageNet** — images are not redistributed; users obtain ImageNet independently: <https://image-net.org/>
+
+See the component directories for exact scope and attribution.

provenance/source_stage/STAGE_MANIFEST.json

@@ -0,0 +1,260 @@
+{
+  "schema_version": 2,
+  "purpose": "CLIP-MUX authoritative training-data HF staging capture",
+  "policy": {
+    "whitelist_only": true,
+    "copies_imagenet_pixels": false,
+    "copies_textcaps_pixels": false,
+    "copies_spright_pixels": false,
+    "copies_checkpoints": false,
+    "copies_debug_or_harmony_traces": false,
+    "absolute_machine_paths_allowed_in_path_fields": false
+  },
+  "collections": [
+    {
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+      "files": 1,
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+      "sanitized_strings": 0,
+      "notes": []
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+    {
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+    {
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+    {
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+    {
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+    {
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+}

restricted_recipes/imagenet_clip_text/LICENSE

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+CC0 1.0 UNIVERSAL
+
+This component is released under CC0 1.0 Universal to the extent the contributor holds Copyright and Related Rights in the material.
+
+Canonical deed and legal terms:
+https://creativecommons.org/publicdomain/zero/1.0/
+
+CC0 does not grant patent or trademark rights, does not override third-party rights, and does not create copyright where none exists. No attribution is required by the contributor for material covered by this CC0 dedication.

restricted_recipes/imagenet_clip_text/NOTICE.md

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+# ImageNet digital-text recipe
+
+The CC0 file in this directory applies only to project-authored recipe/manifest contributions to the extent the contributor holds rights in them.
+
+**It does not license or redistribute ImageNet images.** Users must obtain ImageNet independently and comply with its applicable terms. Relative source-image references in these manifests are reconstruction pointers, not redistributed source images.
+
+ImageNet: <https://image-net.org/>

restricted_recipes/imagenet_clip_text/manifests/train.jsonl

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+size 66734736

restricted_recipes/imagenet_handwriting/LICENSE

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+CC0 1.0 UNIVERSAL
+
+This component is released under CC0 1.0 Universal to the extent the contributor holds Copyright and Related Rights in the material.
+
+Canonical deed and legal terms:
+https://creativecommons.org/publicdomain/zero/1.0/
+
+CC0 does not grant patent or trademark rights, does not override third-party rights, and does not create copyright where none exists. No attribution is required by the contributor for material covered by this CC0 dedication.

restricted_recipes/imagenet_handwriting/NOTICE.md

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+# ImageNet handwriting-overlay recipe
+
+The CC0 file in this directory applies only to project-authored recipe/manifest contributions to the extent the contributor holds rights in them.
+
+**It does not license or redistribute ImageNet images.** Users must obtain ImageNet independently and comply with its applicable terms. Relative source-image references in these manifests are reconstruction pointers, not redistributed source images.
+
+ImageNet: <https://image-net.org/>

restricted_recipes/imagenet_handwriting/manifests/train.jsonl

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