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Release complete ChartGalaxy++ model

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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
INFERENCE.md ADDED
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+ # Local inference
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+
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+ The standalone example below was run on one NVIDIA RTX PRO 6000 Blackwell Server GPU using Python 3.11.14, vLLM 0.20.2, Transformers 5.12.1, PyTorch 2.11.0 / CUDA 13.0, and xgrammar 0.1.32. The environment passed dependency consistency checking. [requirements-smoke.txt](requirements-smoke.txt) records the exact Linux environment; the original producer did not supply a complete dependency lockfile.
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+
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+ Create a fresh Python 3.11 environment and install `pip install -r requirements-smoke.txt`. Use a compatible CUDA driver. Transformers 4.x does not load this exported processor correctly; pinning only vLLM can resolve to that older version. The xgrammar pin keeps the dependency set compatible with vLLM and Transformers. See [the smoke receipt](smoke/validation.json) and [saved output](smoke/prediction.json). This single-image check validates loading, generation, and output structure, and does not rerun paper accuracy measurements.
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+
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+ Keep both weight shards, their index, tokenizer, processor, and chat template in the same model directory. `inference_spec.json` contains the exact prompts and generation settings extracted from the supplied single-image runner.
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+
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+ The following usage snippet performs one request on one visible GPU and saves the raw response before strict JSON parsing. Set `model_dir` and `image_path` to your local files. It is usage documentation, not the paper's evaluation pipeline.
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+
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+ ```python
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+ import json
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+ import os
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+ from pathlib import Path
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+
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+ def main():
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+ model_dir = Path("./image2json-model").resolve()
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+ image_path = Path("./example.png")
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+ spec = json.loads((model_dir / "inference_spec.json").read_text())
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+ for key, value in spec["environment"].items():
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+ os.environ[key] = value
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+
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+ from PIL import Image
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+ from vllm import LLM, SamplingParams
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+
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+ llm = LLM(
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+ model=str(model_dir), tokenizer=str(model_dir),
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+ trust_remote_code=False, dtype=spec["dtype"],
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+ tensor_parallel_size=spec["tensor_parallel_size"],
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+ max_model_len=spec["max_model_len"], max_num_seqs=1,
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+ disable_log_stats=False,
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+ gpu_memory_utilization=spec["gpu_memory_utilization"],
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+ limit_mm_per_prompt={"image": 1, "video": 0},
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+ mm_processor_kwargs={"max_pixels": spec["max_pixels"]},
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+ seed=spec["seed"], gdn_prefill_backend=spec["gdn_prefill_backend"],
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+ compilation_config=spec["compilation_config"],
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+ )
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+ messages = [
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+ {"role": "system", "content": spec["system_prompt"]},
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+ {"role": "user", "content": [
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+ {"type": "image", "image": "<image>"},
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+ {"type": "text", "text": spec["user_prompt"]},
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+ ]},
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+ ]
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+ prompt = llm.get_tokenizer().apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True,
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+ enable_thinking=spec["enable_thinking"],
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+ )
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+ sampling = SamplingParams(
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+ temperature=spec["temperature"], top_p=spec["top_p"], top_k=spec["top_k"],
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+ max_tokens=spec["max_new_tokens"], seed=spec["seed"],
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+ repetition_penalty=spec["repetition_penalty"],
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+ frequency_penalty=spec["frequency_penalty"],
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+ )
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+ with Image.open(image_path) as source:
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+ image = source.convert("RGB")
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+ try:
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+ result = llm.generate([{
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+ "prompt": prompt,
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+ "multi_modal_data": {"image": image},
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+ "mm_processor_kwargs": {"max_pixels": spec["max_pixels"]},
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+ }], sampling, use_tqdm=False)[0].outputs[0]
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+ finally:
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+ image.close()
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+
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+ Path("prediction.raw.txt").write_text(result.text, encoding="utf-8")
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+ Path("prediction.status.json").write_text(json.dumps({
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+ "finish_reason": result.finish_reason,
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+ "output_tokens": len(result.token_ids),
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+ }, indent=2), encoding="utf-8")
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+ prediction = json.loads(result.text)
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+ Path("prediction.json").write_text(
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+ json.dumps(prediction, ensure_ascii=False, indent=2), encoding="utf-8",
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+ )
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+
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+
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+ if __name__ == "__main__":
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+ main()
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+ ```
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+
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+ The native output uses `[x0, y0, x1, y1]` boxes. See [OUTPUT_FORMAT.md](OUTPUT_FORMAT.md) before using it with dataset annotations. A `finish_reason` of `length` marks token-limit termination even if the resulting text parses. A successful JSON parse is not a schema or accuracy check.
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+
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+ The source runner also implements deterministic JSON recovery; that implementation is not part of this candidate. Its recovery behavior and the paper's graph evaluation procedures are relevant to reproducing the reported scores. This snippet deliberately exposes parsing errors and preserves the raw response for inspection.
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NOTICE.md ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # License and attribution
2
+
3
+ ChartGalaxy++ Image2JSON is a fine-tuned model in the Qwen3.5-4B family. The model weights were modified through supervised fine-tuning for chart scene graph prediction.
4
+
5
+ The ChartGalaxy++ fine-tuning contributions and newly written documentation are provided under the [Creative Commons Attribution-NonCommercial 4.0 International license](https://creativecommons.org/licenses/by-nc/4.0/). The complete license text is included as [LICENSE](LICENSE).
6
+
7
+ Qwen's original model and supporting materials are credited to the **Qwen Team**. Retained upstream materials, including tokenizer and configuration assets, retain their existing license. Qwen publishes its [Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) and [Qwen3.5-4B-Base](https://huggingface.co/Qwen/Qwen3.5-4B-Base) releases under Apache-2.0. A copy of the upstream license is included as [LICENSE-QWEN-APACHE-2.0](LICENSE-QWEN-APACHE-2.0). The CC BY-NC notice does not replace the license of independently retained upstream materials.
8
+
9
+ Attribution for this fine-tuned artifact: **ChartGalaxy++ Image2JSON, ChartGalaxyPP**. Retain the license and attribution notices and identify further changes when redistributing modified versions.
OUTPUT_FORMAT.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Image2JSON output format
2
+
3
+ The model emits a JSON object with `high_level_description`, `style_description`, and `elements`. `elements.background` describes the background, and `elements.layout` is a flat list of element and group nodes. A node's `parent` refers to another node label or the implicit `ROOT`.
4
+
5
+ | Native model output | Dataset representation |
6
+ | --- | --- |
7
+ | `high_level_description` | Same field |
8
+ | `style_description` | Same field |
9
+ | `elements.background` | `compositional_deconstruction.background` |
10
+ | `elements.layout` | `compositional_deconstruction.nodes` |
11
+ | `node_kind` | Same field; `element` or `group` |
12
+ | `type` on an element | `element_type` |
13
+ | `type` on a group | `group_type` |
14
+ | `bbox: [x0, y0, x1, y1]` | `bbox: [y0, x0, y1, x1]` |
15
+ | `label`, `parent`, `desc`, `text`, `color_palette`, `role`, `role_family` | Preserve applicable fields |
16
+
17
+ Both box formats use a 0–1000 coordinate grid. For a native box, pixel coordinates are `(x0 * width/1000, y0 * height/1000, x1 * width/1000, y1 * height/1000)`. Use the original image dimensions; do not interpret the grid values directly as pixels.
18
+
19
+ The `type` vocabulary is `text`, `image`, or `shape` for elements, and `chart`, `axis`, `legend`, `legend_item`, `data_item`, `series`, or `panel` for groups. The native prompt requests a `node_kind` and the roles applicable to each item. Treat missing, contradictory, or unknown node types as validation errors rather than silently guessing replacements.
20
+
21
+ For example, a native element box `[100, 200, 400, 500]` becomes `[200, 100, 500, 400]` in the dataset representation. Preserve the label and parent when changing the field names and box order.
22
+
23
+ Validate unique labels, existing parent references, hierarchy acyclicity, box ordering and bounds, and required fields after conversion. Serialization conversion alone does not guarantee conformance to the [dataset schema](https://huggingface.co/datasets/ChartGalaxyPP/ChartGalaxyPlusPlus/blob/main/scene_graph.schema.json).
24
+
25
+ The model does **not** emit the dataset's separate `spatial_relations` list. Such records depend on node geometry and a specified spatial sampling policy. Do not fill a missing list with invented relations or compare native JSON against the dataset without adapting its representation.
26
+
27
+ Retain raw generated text and generation termination information. If a response is truncated, syntax repair may yield a parseable partial graph; record that status separately from schema validity and semantic accuracy. The usage example uses strict JSON parsing so that a malformed response remains visible.
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-4.0
3
+ library_name: transformers
4
+ pipeline_tag: image-text-to-text
5
+ language:
6
+ - en
7
+ datasets:
8
+ - ChartGalaxyPP/ChartGalaxyPlusPlus
9
+ tags:
10
+ - chart
11
+ - infographic
12
+ - scene-graph
13
+ - image2json
14
+ - qwen3_5
15
+ ---
16
+
17
+ # ChartGalaxy++ Image2JSON
18
+
19
+ Image2JSON predicts a structured description of an infographic chart, including visual elements, semantic groups, parent links, text, bounding boxes, and appearance descriptions. It is the Qwen3.5-4B-family model fine-tuned for the image-to-scene-graph task in ChartGalaxy++.
20
+
21
+ This release contains the full **checkpoint-100000** model in two Safetensors shards, together with its tokenizer, processor, chat template, and inference specification. The nine model files total **9,339,891,123 bytes**. Their hashes match the export used for the paper's evaluation.
22
+
23
+ [Dataset](https://huggingface.co/datasets/ChartGalaxyPP/ChartGalaxyPlusPlus) · [Project](https://github.com/ChartGalaxyPP/ChartGalaxyPlusPlus) · [Inference guide](INFERENCE.md) · [Output format](OUTPUT_FORMAT.md)
24
+
25
+ ## Model and evaluation
26
+
27
+ | Property | Value |
28
+ | --- | --- |
29
+ | Architecture | `Qwen3_5ForConditionalGeneration` |
30
+ | Fine-tuning | Supervised fine-tuning for chart scene graph prediction |
31
+ | Checkpoint step | 100,000 |
32
+ | Weight dtype | BF16 |
33
+ | Artifact | Full model, tokenizer, image processor, and chat template |
34
+ | Paper test set | 1,000 charts: 500 real and 500 synthetic |
35
+ | Element F1 | 89.4% |
36
+ | Hierarchy F1 | 85.1% |
37
+ | Spatial F1 | 88.0% |
38
+
39
+ Scores are those of the paper's evaluation protocol, including its output recovery and graph evaluation procedures. They are not a fresh evaluation of the short inference example below. Stored weight tensors include the vision and auxiliary model components; the architecture's “4B” family name is not the count of all scalars in this export.
40
+
41
+ ## Use
42
+
43
+ Download all model files into one directory. Follow [INFERENCE.md](INFERENCE.md) for the exact prompt and local vLLM settings. The standalone example has now been run with Python 3.11.14, vLLM 0.20.2, Transformers 5.12.1, PyTorch 2.11.0 / CUDA 13.0, and xgrammar 0.1.32. The exact tested environment is recorded in `requirements-smoke.txt`.
44
+
45
+ The native output is **`elements.layout` with `[x0, y0, x1, y1]` bounding boxes on a 0–1000 grid**. The dataset uses `compositional_deconstruction.nodes` and `[y0, x0, y1, x1]`. Apply the mapping in [OUTPUT_FORMAT.md](OUTPUT_FORMAT.md) before comparing outputs or drawing dataset-format boxes. Spatial relationship records are not directly generated by the model.
46
+
47
+ ## Limits and validation
48
+
49
+ Predictions can miss elements, assign incorrect parents, misread text, or produce invalid JSON. Long charts may exceed the 20,000-token output limit. Closing truncated JSON does not recover omitted nodes or establish annotation correctness.
50
+
51
+ Preparation checks verified every source file checksum, all 738 Safetensors entries and their shard mapping, and the identity of the paper checkpoint. A standalone GPU inference completed on the recorded synthetic training example: 11,485 output tokens, 128 layout items, normal stop, and valid JSON without recovery. The output also passed the native evaluator schema and graph-reference checks. See `smoke/validation.json` and the saved output; its input hash identifies the historical version used for that smoke test. This checks usability and structure; it is not an accuracy evaluation.
52
+
53
+ ## License and attribution
54
+
55
+ The ChartGalaxy++ fine-tuning contributions are licensed under **CC BY-NC 4.0**, as selected by the model owner. See [LICENSE](LICENSE) and [NOTICE.md](NOTICE.md). Retained Qwen materials remain subject to their upstream Apache-2.0 license, included in [LICENSE-QWEN-APACHE-2.0](LICENSE-QWEN-APACHE-2.0).
56
+
57
+ `release_metadata.json` lists the verified model identities; `SHA256SUMS` covers the released files. This package contains model artifacts and usage documentation. Annotation, training, evaluation, and review pipeline implementations are outside its scope.
SHA256SUMS ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ a0e948ca693c63e0b5139f66bd709003cbcf8bc764acb1ee687a552885c8fe2c .gitattributes
2
+ 6e809ac2dda880040b6a943979b959f08b5be61761623153845c38eba451ad86 INFERENCE.md
3
+ cc97a2c4ff7723a1f25179dc7c18f676fa84191bbb36ea7d0061acaf3c102559 LICENSE
4
+ 50cbab8a892c5f2993b8c7351a99182507472def3b1374558308605d99b86b32 LICENSE-QWEN-APACHE-2.0
5
+ 806ea75508761d8cb9515bac61c05be851967b5db755f2223f51a6306d9a1d0d NOTICE.md
6
+ 7eedb3f5f62834ed0fcdaa889101085b24e5864e13d25c9aecdf7c513d05f951 OUTPUT_FORMAT.md
7
+ 5b6f27f2427e3bc8dfee1e03be48162b139d853a17a1f8e42116785201c95b8d README.md
8
+ a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715 chat_template.jinja
9
+ 881208c0f3f48d8fe920b4caf1bac23b4e2d351557bf2c1314b2040ceb4c6bba config.json
10
+ a50023c63e657eff70e2cfdd42f384eedd085ffa34898aa6d7e34cb16618bbc7 inference_spec.json
11
+ 39c4d658c5e83be2ed19b25e80818f231eff2c147a88398fb6df239a9916326e model-00001-of-00002.safetensors
12
+ 43a5930fa5f7af81ad51894836f71f124a4d4ef1a21cc3e8c6c75beb8cf14865 model-00002-of-00002.safetensors
13
+ ad380c647e34236cf9f313ff673781e2fca1aaff85af6117727762224f019993 model.safetensors.index.json
14
+ 27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516 preprocessor_config.json
15
+ d89ef49ce9cd37fbf510158e13c1ef063d9286411c1ec9049932dbe0487143b1 processor_config.json
16
+ 7f1e5a4f51fceffe9b0d9c4b42ad6d2019f8c52c928348d5419dd49f5f459664 release_metadata.json
17
+ 3906fb04e65a3815d7c4c4248b8ac0e8bfdacbc722ba44491be344ce225ec036 requirements-smoke.txt
18
+ 2510f614f11d9df4393af8822b23386ea4a0ef5323365eb82096d8c3d8947da6 smoke/prediction.json
19
+ bceee5f5cd9d33d5e9ead0095dfdfa572cbca752c9e35ee696dfcf4b5aad4334 smoke/prediction.raw.txt
20
+ bf1046d4e0b4d71c825ce34e0a238cbd509d076a22adbd2ed492aff7c6e793f2 smoke/validation.json
21
+ 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json
22
+ 792fa3f0cb88b111e54ef3134c873531008c4df471d108da17903426e308aa7b tokenizer_config.json
chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
+ {%- if messages[0].role == 'system' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if loop.index0 > ns.last_query_index %}
101
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
+ {%- else %}
103
+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
105
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
109
+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- endif %}
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+ {%- else %}
117
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- endif %}
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+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
122
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
+ {{- args_value }}
124
+ {{- '\n</parameter>\n' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '</function>\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
132
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if not loop.last and loop.nextitem.role != "tool" %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif loop.last %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
152
+ {{- '<think>\n' }}
153
+ {%- endif %}
154
+ {%- endif %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "Qwen3_5ForConditionalGeneration"
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+ ],
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+ "dtype": "bfloat16",
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+ "image_token_id": 248056,
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+ "model_type": "qwen3_5",
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+ "text_config": {
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_output_gate": true,
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+ "bos_token_id": null,
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention"
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+ ],
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+ "linear_num_value_heads": 32,
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+ "mamba_ssm_dtype": "float32",
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+ "mlp_only_layers": [],
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+ "video_token_id": 248057,
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+ "vision_config": {
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+ "deepstack_visual_indexes": [],
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+ "depth": 24,
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+ "dtype": "bfloat16",
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1024,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "model_type": "qwen3_5_vision",
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+ "num_heads": 16,
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+ "num_position_embeddings": 2304,
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+ "out_hidden_size": 2560,
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+ "patch_size": 16,
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+ "temporal_patch_size": 2
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+ }
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+ {
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+ "system_prompt": "You produce a complete structured design description from an image. Return only valid JSON in the requested full schema.",
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+ "user_prompt": "Generate the complete JSON containing high_level_description, style_description, elements.background, and elements.layout. Every layout item must contain type, label, parent, bbox in xyxy_1000 coordinates, and desc. When exact visible text is available for an item of type \"text\", include it in the text field. Also include style_description.color_palette and preserve the full annotation schema: layout items include node_kind, color_palette, and role or role_family when applicable. The type value is the group_type or element_type of the node. Use null for unavailable style descriptions and [] for empty color palettes.",
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+ "compilation_config": {
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+ 192,
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+ "environment": {
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+ "VLLM_MOE_USE_DEEP_GEMM": "0",
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+ "VLLM_USE_FLASHINFER_SAMPLER": "0"
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+ "upstream_validated_runtime": {
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+ "python": "3.11",
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+ "vllm": "0.20.2"
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+ },
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+ "output_bbox_format": "xyxy_1000",
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+ "output_nodes_path": "elements.layout"
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+ }
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requirements-smoke.txt ADDED
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+ {
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+ "high_level_description": "Frame the piece as a landscape digital vector graphic infographic led by a horizontal group bar chart. The chart shows durability scores for <text 6> and <text 14> materials over time.\n\nThe composition assigns a dominant region at the right side to <chart 5>. Inside it, the quantitative marks, labels, and structural guides remain visually coordinated.\n\nUse <text 2> and <text 3> as the editorial entry point in the upper left, with a clear hierarchy of scale, weight, and spacing. Additional context comes from <image 124> at the middle left, <panel 125> at the lower left, <text 128> at the lower left, and <shape 4> at the upper left.\n\nUse clean, modern editorial design with a focus on data clarity against a flat full-canvas field. Use even graphic lighting with subtle shadow effects for local depth and clear layer separation.",
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+ "style_description": {
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+ "aesthetics": "Clean, modern editorial design with a focus on data clarity. Uses a light neutral background with high-contrast text and distinct color coding for data series. Minimalist data visualization with a focus on readability and hierarchy.",
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+ "lighting": "Flat, even lighting typical of digital editorial graphics. or gradients on text or background.",
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+ "medium": "Digital vector illustration and typography.",
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+ "photo": null,
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+ "art_style": null,
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+ "color_palette": [
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+ "#F5F7FA",
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+ "#0F172A",
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+ "#2563EB",
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+ "#334155",
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+ "#EAF1FF",
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+ "#64748B"
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+ ]
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+ },
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+ "elements": {
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+ "background": "A continuous flat field fills the full canvas with a flat, even finish without photographic depth. It remains visually quiet and contains no foreground subjects or text.",
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+ "layout": [
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+ {
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+ "type": "panel",
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+ "label": "<panel 1>",
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+ "parent": "ROOT",
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+ "bbox": [
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+ 130,
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+ 40,
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+ 352,
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+ 338
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+ ],
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+ "desc": "A header containing one headline, one subheadline, and one section divider.",
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+ "color_palette": [
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+ "#0F172A",
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+ "#334155",
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+ "#2563EB"
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+ ],
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+ "node_kind": "group"
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+ },
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+ {
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+ "parent": "<panel 1>",
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+ 134,
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+ 40,
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+ 314,
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+ 143
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+ ],
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+ "text": "MATERIAL\nDURABILITY",
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+ "desc": "A 2-line, display-scale, extra-bold headline.",
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+ "color_palette": [
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+ "#0F172A"
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+ ],
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+ "node_kind": "element",
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+ "role": "heading",
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+ "role_family": "context"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 3>",
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+ "parent": "<panel 1>",
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+ "bbox": [
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+ 130,
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+ 225,
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+ 351,
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+ 338
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+ ],
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+ "text": "Comparing longevity of\nBronze vs. Marble from\n1800 to 2024",
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+ "desc": "A 3-line, large-scale, medium subheadline.",
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+ "color_palette": [
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+ "#334155"
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+ ],
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+ "node_kind": "element",
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+ "role": "heading",
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+ ],
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+ "desc": "A thin horizontal section divider.",
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+ ],
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+ "node_kind": "element",
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+ "role": "separator",
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+ "role_family": "presentation"
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+ },
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+ {
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+ "type": "chart",
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+ "label": "<chart 5>",
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+ "parent": "ROOT",
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+ "bbox": [
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+ 409,
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+ 28,
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+ ],
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+ "desc": "A horizontal group bar chart containing 12 tick labels, 12 axis lines, 12 data rows, four badges, and two category labels.",
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+ "color_palette": [
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+ "#FFFFFF",
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+ "#165C42",
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+ "#111827",
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+ "#6B705C",
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+ "#CB997E"
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+ ],
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+ "node_kind": "group"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 6>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ ],
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+ "text": "BRONZE",
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+ "desc": "A medium-scale, extra-bold category label.",
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+ "color_palette": [
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+ "#FFFFFF"
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+ ],
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+ "node_kind": "element",
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+ "role": "entity_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 7>",
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+ "parent": "<chart 5>",
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+ ],
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 8>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 640,
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+ 432,
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+ 650,
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+ ],
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+ "text": "19",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 9>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ ],
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+ "text": "38",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 10>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ ],
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+ "text": "57",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 11>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 829,
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+ 432,
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+ 445
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+ ],
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+ "text": "76",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 12>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 892,
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+ 432,
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+ 445
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+ ],
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+ "text": "95",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 13>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 703,
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+ 445,
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+ 776,
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+ 462
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+ ],
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+ "text": "Durability Score",
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+ "desc": "A medium-scale, extra-bold, centered axis title.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "axis_title",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 14>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 483,
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+ 529,
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+ 546,
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+ 550
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+ ],
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+ "text": "MARBLE",
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+ "desc": "A medium-scale, extra-bold category label.",
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+ "color_palette": [
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+ "#111827"
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+ ],
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+ "node_kind": "element",
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+ "role": "entity_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 15>",
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+ "parent": "<chart 5>",
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+ ],
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+ "text": "0",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 16>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 640,
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+ 899,
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+ 650,
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+ 912
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+ ],
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+ "text": "19",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 17>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 703,
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+ 899,
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+ 912
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+ ],
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+ "text": "38",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 18>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 766,
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+ 899,
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+ 777,
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+ 912
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+ ],
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+ "text": "57",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 19>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 840,
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+ "text": "76",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ },
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+ {
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+ "type": "text",
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+ "label": "<text 20>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 899,
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+ 903,
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+ 912
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+ ],
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+ "text": "95",
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+ "desc": "A small-scale, semibold, centered numeric tick label.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "tick_label",
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+ "role_family": "reading_reference"
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+ {
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+ "label": "<text 21>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 703,
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+ 912,
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+ 776,
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+ "text": "Durability Score",
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+ "desc": "A medium-scale, extra-bold, centered axis title.",
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+ "color_palette": [
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+ "#165C42"
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+ ],
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+ "node_kind": "element",
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+ "role": "axis_title",
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+ "role_family": "reading_reference"
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+ },
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+ "type": "shape",
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+ "label": "<shape 22>",
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+ "parent": "<chart 5>",
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+ 101
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+ ],
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+ "desc": "A badge.",
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+ "color_palette": [
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+ "#6B705C"
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+ ],
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+ "node_kind": "element",
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+ "role": "boundary",
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+ "role_family": "presentation"
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+ },
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+ {
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+ "type": "shape",
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+ "label": "<shape 23>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 464,
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+ 513,
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+ 568
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+ "desc": "A badge.",
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+ "color_palette": [
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+ "#CB997E"
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+ ],
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+ "node_kind": "element",
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+ "role": "boundary",
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+ "role_family": "presentation"
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+ },
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+ {
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+ "type": "image",
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+ "label": "<image 24>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 409,
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+ 28,
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+ 460,
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+ 119
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+ ],
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+ "desc": "An icon representing Bronze.",
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+ "color_palette": [
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+ "#483018",
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+ "#301818",
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+ "#303018",
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+ "#604830",
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+ "#786048"
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+ ],
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+ "node_kind": "element",
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+ "role": "subject_depiction",
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+ "role_family": "context"
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+ },
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+ {
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+ "type": "image",
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+ "label": "<image 25>",
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+ "parent": "<chart 5>",
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+ "bbox": [
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+ 409,
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+ ],
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+ "color_palette": [
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+ "role": "data_mark",
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+ "role": "data_mark",
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+ "role": "entity_label",
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+ "role_family": "reading_reference"
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+ ],
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+ "node_kind": "group"
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+ "color_palette": [
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+ ],
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+ "node_kind": "element",
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+ "role": "data_mark",
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+ "role_family": "data_expression"
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+ },
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+ ],
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+ ],
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+ "node_kind": "element",
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+ "role": "value_label",
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+ },
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+ ],
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+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
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+ "color_palette": [
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+ "#607878",
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+ "#D83048",
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+ "#606078",
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+ "#C06060",
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+ "#D86060"
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+ ],
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+ "node_kind": "group"
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+ },
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+ {
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+ "type": "image",
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+ "label": "<image 62>",
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+ "parent": "<data_item 61>",
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+ ],
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+ "desc": "An icon representing 1950.",
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+ "#606078",
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+ "#D86060"
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+ "role_family": "context"
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+ {
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+ "type": "shape",
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+ "label": "<shape 63>",
1208
+ "parent": "<data_item 61>",
1209
+ "bbox": [
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1211
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1212
+ 438,
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+ 292
1214
+ ],
1215
+ "desc": "A series point marking one observation.",
1216
+ "color_palette": [
1217
+ "#FFFFFF"
1218
+ ],
1219
+ "node_kind": "element",
1220
+ "role": "data_mark",
1221
+ "role_family": "data_expression"
1222
+ },
1223
+ {
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+ "type": "text",
1225
+ "label": "<text 64>",
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+ "parent": "<data_item 61>",
1227
+ "bbox": [
1228
+ 456,
1229
+ 275,
1230
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1231
+ 292
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+ ],
1233
+ "text": "1950",
1234
+ "desc": "A medium-scale, medium numeric category label.",
1235
+ "color_palette": [
1236
+ "#102822"
1237
+ ],
1238
+ "node_kind": "element",
1239
+ "role": "entity_label",
1240
+ "role_family": "reading_reference"
1241
+ },
1242
+ {
1243
+ "type": "data_item",
1244
+ "label": "<data_item 65>",
1245
+ "parent": "<data_item 61>",
1246
+ "bbox": [
1247
+ 582,
1248
+ 272,
1249
+ 893,
1250
+ 297
1251
+ ],
1252
+ "desc": "A data item containing one horizontal bar and one value label.",
1253
+ "color_palette": [
1254
+ "#666A57"
1255
+ ],
1256
+ "node_kind": "group"
1257
+ },
1258
+ {
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+ "type": "shape",
1260
+ "label": "<shape 66>",
1261
+ "parent": "<data_item 65>",
1262
+ "bbox": [
1263
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1264
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1265
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1266
+ 297
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+ ],
1268
+ "desc": "A horizontal bar for 1950 / Bronze, encoding 88.",
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+ "color_palette": [
1270
+ "#000000"
1271
+ ],
1272
+ "node_kind": "element",
1273
+ "role": "data_mark",
1274
+ "role_family": "data_expression"
1275
+ },
1276
+ {
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+ "type": "text",
1278
+ "label": "<text 67>",
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+ "parent": "<data_item 65>",
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+ "bbox": [
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+ 880,
1282
+ 276,
1283
+ 893,
1284
+ 292
1285
+ ],
1286
+ "text": "88",
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+ "desc": "A medium-scale, extra-bold value label.",
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+ "color_palette": [
1289
+ "#666A57"
1290
+ ],
1291
+ "node_kind": "element",
1292
+ "role": "value_label",
1293
+ "role_family": "data_expression"
1294
+ },
1295
+ {
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+ "type": "data_item",
1297
+ "label": "<data_item 68>",
1298
+ "parent": "<chart 5>",
1299
+ "bbox": [
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+ 424,
1301
+ 309,
1302
+ 883,
1303
+ 344
1304
+ ],
1305
+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
1306
+ "color_palette": [
1307
+ "#607878",
1308
+ "#D83048",
1309
+ "#606078",
1310
+ "#C06060",
1311
+ "#D86060"
1312
+ ],
1313
+ "node_kind": "group"
1314
+ },
1315
+ {
1316
+ "type": "image",
1317
+ "label": "<image 69>",
1318
+ "parent": "<data_item 68>",
1319
+ "bbox": [
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+ 424,
1321
+ 309,
1322
+ 444,
1323
+ 344
1324
+ ],
1325
+ "desc": "An icon representing 2000.",
1326
+ "color_palette": [
1327
+ "#607878",
1328
+ "#D83048",
1329
+ "#606078",
1330
+ "#C06060",
1331
+ "#D86060"
1332
+ ],
1333
+ "node_kind": "element",
1334
+ "role": "subject_depiction",
1335
+ "role_family": "context"
1336
+ },
1337
+ {
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+ "type": "shape",
1339
+ "label": "<shape 70>",
1340
+ "parent": "<data_item 68>",
1341
+ "bbox": [
1342
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1343
+ 319,
1344
+ 438,
1345
+ 334
1346
+ ],
1347
+ "desc": "A series point marking one observation.",
1348
+ "color_palette": [
1349
+ "#FFFFFF"
1350
+ ],
1351
+ "node_kind": "element",
1352
+ "role": "data_mark",
1353
+ "role_family": "data_expression"
1354
+ },
1355
+ {
1356
+ "type": "text",
1357
+ "label": "<text 71>",
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+ "parent": "<data_item 68>",
1359
+ "bbox": [
1360
+ 455,
1361
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1362
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1363
+ 335
1364
+ ],
1365
+ "text": "2000",
1366
+ "desc": "A medium-scale, medium numeric category label.",
1367
+ "color_palette": [
1368
+ "#102822"
1369
+ ],
1370
+ "node_kind": "element",
1371
+ "role": "entity_label",
1372
+ "role_family": "reading_reference"
1373
+ },
1374
+ {
1375
+ "type": "data_item",
1376
+ "label": "<data_item 72>",
1377
+ "parent": "<data_item 68>",
1378
+ "bbox": [
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+ 582,
1380
+ 314,
1381
+ 883,
1382
+ 339
1383
+ ],
1384
+ "desc": "A data item containing one horizontal bar and one value label.",
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+ "color_palette": [
1386
+ "#666A57"
1387
+ ],
1388
+ "node_kind": "group"
1389
+ },
1390
+ {
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+ "type": "shape",
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+ "label": "<shape 73>",
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+ "parent": "<data_item 72>",
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+ "bbox": [
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1397
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+ 339
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+ ],
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+ "desc": "A horizontal bar for 2000 / Bronze, encoding 85.",
1401
+ "color_palette": [
1402
+ "#000000"
1403
+ ],
1404
+ "node_kind": "element",
1405
+ "role": "data_mark",
1406
+ "role_family": "data_expression"
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+ },
1408
+ {
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+ "type": "text",
1410
+ "label": "<text 74>",
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+ "parent": "<data_item 72>",
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+ "bbox": [
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+ 870,
1414
+ 318,
1415
+ 883,
1416
+ 334
1417
+ ],
1418
+ "text": "85",
1419
+ "desc": "A medium-scale, extra-bold value label.",
1420
+ "color_palette": [
1421
+ "#666A57"
1422
+ ],
1423
+ "node_kind": "element",
1424
+ "role": "value_label",
1425
+ "role_family": "data_expression"
1426
+ },
1427
+ {
1428
+ "type": "data_item",
1429
+ "label": "<data_item 75>",
1430
+ "parent": "<chart 5>",
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+ "bbox": [
1432
+ 424,
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+ 351,
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+ 873,
1435
+ 386
1436
+ ],
1437
+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
1438
+ "color_palette": [
1439
+ "#607878",
1440
+ "#D83048",
1441
+ "#606078",
1442
+ "#C06060",
1443
+ "#D86060"
1444
+ ],
1445
+ "node_kind": "group"
1446
+ },
1447
+ {
1448
+ "type": "image",
1449
+ "label": "<image 76>",
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+ "parent": "<data_item 75>",
1451
+ "bbox": [
1452
+ 424,
1453
+ 351,
1454
+ 444,
1455
+ 386
1456
+ ],
1457
+ "desc": "An icon representing 2024.",
1458
+ "color_palette": [
1459
+ "#607878",
1460
+ "#D83048",
1461
+ "#606078",
1462
+ "#C06060",
1463
+ "#D86060"
1464
+ ],
1465
+ "node_kind": "element",
1466
+ "role": "subject_depiction",
1467
+ "role_family": "context"
1468
+ },
1469
+ {
1470
+ "type": "shape",
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+ "label": "<shape 77>",
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+ "parent": "<data_item 75>",
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+ "bbox": [
1474
+ 429,
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+ 361,
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+ 438,
1477
+ 376
1478
+ ],
1479
+ "desc": "A series point marking one observation.",
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+ "color_palette": [
1481
+ "#FFFFFF"
1482
+ ],
1483
+ "node_kind": "element",
1484
+ "role": "data_mark",
1485
+ "role_family": "data_expression"
1486
+ },
1487
+ {
1488
+ "type": "text",
1489
+ "label": "<text 78>",
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+ "parent": "<data_item 75>",
1491
+ "bbox": [
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+ 455,
1493
+ 360,
1494
+ 481,
1495
+ 377
1496
+ ],
1497
+ "text": "2024",
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+ "desc": "A medium-scale, medium numeric category label.",
1499
+ "color_palette": [
1500
+ "#102822"
1501
+ ],
1502
+ "node_kind": "element",
1503
+ "role": "entity_label",
1504
+ "role_family": "reading_reference"
1505
+ },
1506
+ {
1507
+ "type": "data_item",
1508
+ "label": "<data_item 79>",
1509
+ "parent": "<data_item 75>",
1510
+ "bbox": [
1511
+ 582,
1512
+ 356,
1513
+ 873,
1514
+ 382
1515
+ ],
1516
+ "desc": "A data item containing one horizontal bar and one value label.",
1517
+ "color_palette": [
1518
+ "#666A57"
1519
+ ],
1520
+ "node_kind": "group"
1521
+ },
1522
+ {
1523
+ "type": "shape",
1524
+ "label": "<shape 80>",
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+ "parent": "<data_item 79>",
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+ "bbox": [
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+ 582,
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+ 855,
1530
+ 382
1531
+ ],
1532
+ "desc": "A horizontal bar for 2024 / Bronze, encoding 82.",
1533
+ "color_palette": [
1534
+ "#000000"
1535
+ ],
1536
+ "node_kind": "element",
1537
+ "role": "data_mark",
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+ "role_family": "data_expression"
1539
+ },
1540
+ {
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+ "type": "text",
1542
+ "label": "<text 81>",
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+ "parent": "<data_item 79>",
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+ "bbox": [
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+ 860,
1546
+ 360,
1547
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+ 377
1549
+ ],
1550
+ "text": "82",
1551
+ "desc": "A medium-scale, extra-bold value label.",
1552
+ "color_palette": [
1553
+ "#666A57"
1554
+ ],
1555
+ "node_kind": "element",
1556
+ "role": "value_label",
1557
+ "role_family": "data_expression"
1558
+ },
1559
+ {
1560
+ "type": "data_item",
1561
+ "label": "<data_item 82>",
1562
+ "parent": "<chart 5>",
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+ "bbox": [
1564
+ 424,
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+ 607,
1566
+ 888,
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+ 642
1568
+ ],
1569
+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
1570
+ "color_palette": [
1571
+ "#F0F0F0",
1572
+ "#3060A8",
1573
+ "#4878A8",
1574
+ "#D8D8F0",
1575
+ "#C0D8D8"
1576
+ ],
1577
+ "node_kind": "group"
1578
+ },
1579
+ {
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+ "type": "image",
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+ "label": "<image 83>",
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+ "parent": "<data_item 82>",
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+ "bbox": [
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+ 424,
1585
+ 607,
1586
+ 444,
1587
+ 642
1588
+ ],
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+ "desc": "An icon representing 1800.",
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+ "color_palette": [
1591
+ "#F0F0F0",
1592
+ "#3060A8",
1593
+ "#4878A8",
1594
+ "#D8D8F0",
1595
+ "#C0D8D8"
1596
+ ],
1597
+ "node_kind": "element",
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+ "role": "subject_depiction",
1599
+ "role_family": "context"
1600
+ },
1601
+ {
1602
+ "type": "shape",
1603
+ "label": "<shape 84>",
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+ "parent": "<data_item 82>",
1605
+ "bbox": [
1606
+ 429,
1607
+ 617,
1608
+ 438,
1609
+ 632
1610
+ ],
1611
+ "desc": "A series point marking one observation.",
1612
+ "color_palette": [
1613
+ "#FFFFFF"
1614
+ ],
1615
+ "node_kind": "element",
1616
+ "role": "data_mark",
1617
+ "role_family": "data_expression"
1618
+ },
1619
+ {
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+ "type": "text",
1621
+ "label": "<text 85>",
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+ "parent": "<data_item 82>",
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+ "bbox": [
1624
+ 456,
1625
+ 615,
1626
+ 481,
1627
+ 633
1628
+ ],
1629
+ "text": "1800",
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+ "desc": "A medium-scale, medium numeric category label.",
1631
+ "color_palette": [
1632
+ "#102822"
1633
+ ],
1634
+ "node_kind": "element",
1635
+ "role": "entity_label",
1636
+ "role_family": "reading_reference"
1637
+ },
1638
+ {
1639
+ "type": "data_item",
1640
+ "label": "<data_item 86>",
1641
+ "parent": "<data_item 82>",
1642
+ "bbox": [
1643
+ 582,
1644
+ 612,
1645
+ 888,
1646
+ 637
1647
+ ],
1648
+ "desc": "A data item containing one horizontal bar and one value label.",
1649
+ "color_palette": [
1650
+ "#111827"
1651
+ ],
1652
+ "node_kind": "group"
1653
+ },
1654
+ {
1655
+ "type": "shape",
1656
+ "label": "<shape 87>",
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+ "parent": "<data_item 86>",
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+ "bbox": [
1659
+ 582,
1660
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1661
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1662
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1663
+ ],
1664
+ "desc": "A horizontal bar for 1800 / Marble, encoding 92.",
1665
+ "color_palette": [
1666
+ "#000000"
1667
+ ],
1668
+ "node_kind": "element",
1669
+ "role": "data_mark",
1670
+ "role_family": "data_expression"
1671
+ },
1672
+ {
1673
+ "type": "text",
1674
+ "label": "<text 88>",
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+ "parent": "<data_item 86>",
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+ "bbox": [
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+ 870,
1678
+ 616,
1679
+ 884,
1680
+ 632
1681
+ ],
1682
+ "text": "92",
1683
+ "desc": "A medium-scale, extra-bold, right-aligned value label.",
1684
+ "color_palette": [
1685
+ "#111827"
1686
+ ],
1687
+ "node_kind": "element",
1688
+ "role": "value_label",
1689
+ "role_family": "data_expression"
1690
+ },
1691
+ {
1692
+ "type": "data_item",
1693
+ "label": "<data_item 89>",
1694
+ "parent": "<chart 5>",
1695
+ "bbox": [
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+ 424,
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+ 893,
1699
+ 684
1700
+ ],
1701
+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
1702
+ "color_palette": [
1703
+ "#F0F0F0",
1704
+ "#3060A8",
1705
+ "#4878A8",
1706
+ "#D8D8F0",
1707
+ "#C0D8D8"
1708
+ ],
1709
+ "node_kind": "group"
1710
+ },
1711
+ {
1712
+ "type": "image",
1713
+ "label": "<image 90>",
1714
+ "parent": "<data_item 89>",
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+ "bbox": [
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+ 424,
1717
+ 649,
1718
+ 444,
1719
+ 684
1720
+ ],
1721
+ "desc": "An icon representing 1850.",
1722
+ "color_palette": [
1723
+ "#F0F0F0",
1724
+ "#3060A8",
1725
+ "#4878A8",
1726
+ "#D8D8F0",
1727
+ "#C0D8D8"
1728
+ ],
1729
+ "node_kind": "element",
1730
+ "role": "subject_depiction",
1731
+ "role_family": "context"
1732
+ },
1733
+ {
1734
+ "type": "shape",
1735
+ "label": "<shape 91>",
1736
+ "parent": "<data_item 89>",
1737
+ "bbox": [
1738
+ 429,
1739
+ 659,
1740
+ 438,
1741
+ 674
1742
+ ],
1743
+ "desc": "A series point marking one observation.",
1744
+ "color_palette": [
1745
+ "#FFFFFF"
1746
+ ],
1747
+ "node_kind": "element",
1748
+ "role": "data_mark",
1749
+ "role_family": "data_expression"
1750
+ },
1751
+ {
1752
+ "type": "text",
1753
+ "label": "<text 92>",
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+ "parent": "<data_item 89>",
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+ "bbox": [
1756
+ 456,
1757
+ 658,
1758
+ 481,
1759
+ 675
1760
+ ],
1761
+ "text": "1850",
1762
+ "desc": "A medium-scale, medium numeric category label.",
1763
+ "color_palette": [
1764
+ "#102822"
1765
+ ],
1766
+ "node_kind": "element",
1767
+ "role": "entity_label",
1768
+ "role_family": "reading_reference"
1769
+ },
1770
+ {
1771
+ "type": "data_item",
1772
+ "label": "<data_item 93>",
1773
+ "parent": "<data_item 89>",
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+ "bbox": [
1775
+ 582,
1776
+ 654,
1777
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1778
+ 679
1779
+ ],
1780
+ "desc": "A data item containing one horizontal bar and one value label.",
1781
+ "color_palette": [
1782
+ "#111827"
1783
+ ],
1784
+ "node_kind": "group"
1785
+ },
1786
+ {
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+ "type": "shape",
1788
+ "label": "<shape 94>",
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+ "parent": "<data_item 93>",
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+ "bbox": [
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+ 582,
1792
+ 654,
1793
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1794
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1795
+ ],
1796
+ "desc": "A horizontal bar for 1850 / Marble, encoding 88.",
1797
+ "color_palette": [
1798
+ "#000000"
1799
+ ],
1800
+ "node_kind": "element",
1801
+ "role": "data_mark",
1802
+ "role_family": "data_expression"
1803
+ },
1804
+ {
1805
+ "type": "text",
1806
+ "label": "<text 95>",
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+ "parent": "<data_item 93>",
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+ "bbox": [
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+ 880,
1810
+ 658,
1811
+ 893,
1812
+ 675
1813
+ ],
1814
+ "text": "88",
1815
+ "desc": "A medium-scale, extra-bold value label.",
1816
+ "color_palette": [
1817
+ "#111827"
1818
+ ],
1819
+ "node_kind": "element",
1820
+ "role": "value_label",
1821
+ "role_family": "data_expression"
1822
+ },
1823
+ {
1824
+ "type": "data_item",
1825
+ "label": "<data_item 96>",
1826
+ "parent": "<chart 5>",
1827
+ "bbox": [
1828
+ 424,
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+ 692,
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+ 873,
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+ 726
1832
+ ],
1833
+ "desc": "A data row containing one category icon, one series point, one category label, and one data item.",
1834
+ "color_palette": [
1835
+ "#607878",
1836
+ "#D83048",
1837
+ "#606078",
1838
+ "#C06060",
1839
+ "#D86060"
1840
+ ],
1841
+ "node_kind": "group"
1842
+ },
1843
+ {
1844
+ "type": "image",
1845
+ "label": "<image 97>",
1846
+ "parent": "<data_item 96>",
1847
+ "bbox": [
1848
+ 424,
1849
+ 692,
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+ 444,
1851
+ 726
1852
+ ],
1853
+ "desc": "An icon representing 1900.",
1854
+ "color_palette": [
1855
+ "#607878",
1856
+ "#D83048",
1857
+ "#606078",
1858
+ "#C06060",
1859
+ "#D86060"
1860
+ ],
1861
+ "node_kind": "element",
1862
+ "role": "subject_depiction",
1863
+ "role_family": "context"
1864
+ },
1865
+ {
1866
+ "type": "shape",
1867
+ "label": "<shape 98>",
1868
+ "parent": "<data_item 96>",
1869
+ "bbox": [
1870
+ 429,
1871
+ 701,
1872
+ 438,
1873
+ 717
1874
+ ],
1875
+ "desc": "A series point marking one observation.",
1876
+ "color_palette": [
1877
+ "#FFFFFF"
1878
+ ],
1879
+ "node_kind": "element",
1880
+ "role": "data_mark",
1881
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+ }
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+ ]
2449
+ }
2450
+ }
smoke/prediction.raw.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"high_level_description":"Frame the piece as a landscape digital vector graphic infographic led by a horizontal group bar chart. The chart shows durability scores for <text 6> and <text 14> materials over time.\n\nThe composition assigns a dominant region at the right side to <chart 5>. Inside it, the quantitative marks, labels, and structural guides remain visually coordinated.\n\nUse <text 2> and <text 3> as the editorial entry point in the upper left, with a clear hierarchy of scale, weight, and spacing. Additional context comes from <image 124> at the middle left, <panel 125> at the lower left, <text 128> at the lower left, and <shape 4> at the upper left.\n\nUse clean, modern editorial design with a focus on data clarity against a flat full-canvas field. Use even graphic lighting with subtle shadow effects for local depth and clear layer separation.","style_description":{"aesthetics":"Clean, modern editorial design with a focus on data clarity. 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