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@@ -18,9 +18,9 @@ configs:
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  - config_name: default
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  data_files:
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  - split: eval
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- path: data/processbench_eval.parquet
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  - split: train
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- path: data/train-*
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  dataset_info:
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  features:
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  - name: image
@@ -37,27 +37,7 @@ dataset_info:
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  ## Dataset Summary
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- ProcessBench is a process-aware benchmark for robotic manipulation understanding. This release build contains `57,892` public QA rows: `9,051` eval rows and `48,841` SFT rows across `12` task families.
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-
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- ## Included in this local release build
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-
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- - `data/processbench_eval.parquet` and `data/processbench_eval.jsonl`
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- - `data/processdata_sft.parquet` and `data/processdata_sft.jsonl`
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- - dataset-specific split files for all four sources
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- - `metadata/split_summary.json`, `metadata/eval_manifest.json`, `metadata/sft_manifest.json`
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- - `metadata/task_distribution.csv`
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- - `metadata/schema.md`, `metadata/reconstruction.md`, `metadata/prompt_templates.md`
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- - post-trained `ProcessEval-7B` results under `ProcessEval_results/`
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- - post-trained `ProcessEval-7B` model LoRA adapter weights and configuration under `ProcessEval-7B/`
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- - benchmark suite `ProcessData-58k` under `ProcessData-58k/`
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-
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-
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- ## Sources
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-
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- - `GM-100`
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- - `RH20T`
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- - `REASSEMBLE`
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- - `AIST-Bimanual`
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  ## Task Families
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@@ -74,11 +54,131 @@ ProcessBench is a process-aware benchmark for robotic manipulation understanding
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  - `T11`: Next Primitive Prediction
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  - `T12`: Primitive Chain Restoration
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- ## Splits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- - `eval`: `9,051`
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- - `sft`: `48,841`
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- - split rule: strict episode / recording / scene isolation
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  ## License and Terms
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  - config_name: default
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  data_files:
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  - split: eval
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+ path: splits/processbench_eval.parquet
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  - split: train
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+ path: splits/processbench_sft.parquet
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  dataset_info:
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  features:
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  - name: image
 
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  ## Dataset Summary
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+ ProcessBench is a process-aware benchmark for robotic manipulation understanding. This release build contains `57,892` QA rows: `9,051` Eval rows and `48,841` SFT rows across `12` task families. The split follows strict episode / recording / scene isolation. Upstream dataset sources include `GM-100`, `RH20T`, `REASSEMBLE`, and `AIST-Bimanual`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Task Families
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  - `T11`: Next Primitive Prediction
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  - `T12`: Primitive Chain Restoration
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+ ## SFT-Eval Split Reconstruction
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+
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+ ### Relevant Assets
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+
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+ - Public QA rows for `eval` and `sft`.
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+ - Split manifests and split counts.
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+ - Public release-relative references for each item.
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+
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+ ### How to use the public references
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+
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+ Each row exposes three reconstruction-oriented fields:
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+
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+ - `visual_ref`
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+ - `source_episode_ref`
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+ - `reconstruction_key_json`
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+
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+ These are designed to be stable, path-free references. They are sufficient to map a released item back to the corresponding source episode or recording once you have obtained the upstream dataset under its original terms.
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+
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+ ### Source-specific units
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+
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+ - `GM-100`: grouped by `(task_id, episode_id)`.
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+ - `RH20T`: grouped by `recording_id`.
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+ - `REASSEMBLE`: grouped by `recording_id`.
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+ - `AIST-Bimanual`: grouped by `recording_id`.
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+
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+ ### Expected workflow
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+
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+ 1. Obtain upstream datasets under their original terms.
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+ 2. Use `source`, `source_task_id`, `source_unit_id`, `camera`, and `frame_indices_json` from the public release.
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+ 3. Reconstruct the required visual inputs with the source-specific evaluation scripts in the main codebase.
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+
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+
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+ ## Public QA fields Schema
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+
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+ - `item_id`: Stable public item identifier.
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+ - `split`: `eval` or `sft`.
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+ - `source`: `GM-100`, `RH20T`, `REASSEMBLE`, or `AIST-Bimanual`.
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+ - `source_slug`: Short source slug used in release-relative references.
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+ - `source_task_id`: Source-side task identifier without local paths.
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+ - `source_unit_type`: Split-isolation unit type, e.g. `episode` or `recording`.
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+ - `source_unit_id`: Public unit identifier without local paths.
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+ - `task_id`: Canonical paper task ID `T1` ... `T12`.
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+ - `task_name`: Canonical paper task name.
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+ - `task_type_legacy`: Legacy engineering task name when it differs from paper naming.
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+ - `input_type`: Public input format description.
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+ - `question`: Public question text.
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+ - `choice_A` ... `choice_F`: Flattened answer choices.
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+ - `answer`: Public answer label in the release schema.
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+ - `answer_text`: Public answer text mapped from `answer`.
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+ - `num_choices`: Number of non-null answer choices.
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+ - `num_frames`: Number of referenced frames.
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+ - `frame_indices_json`: JSON-encoded frame indices.
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+ - `display_labels_json`: JSON-encoded panel labels such as `["X", "Y"]` or `["X", "Z", "Y"]`.
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+ - `camera`: Source camera identifier when available.
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+ - `arm_type`: Source-side arm configuration tag when available.
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+ - `visual_ref`: Release-relative visual reference string. This is not a local filesystem path.
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+ - `source_episode_ref`: Release-relative source unit reference.
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+ - `reconstruction_key_json`: Minimal JSON payload needed to reconstruct the sample with upstream data and source-specific scripts.
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+ - `task_meta_in_source`: Whether source-side task metadata/context exists upstream.
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+ - `task_meta_public`: Always `false` in this release build. Separate structured task-meta fields are intentionally withheld.
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+ - `split_version`: Current split version.
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+ - `split_group_id`: Source-side split group identifier.
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+ - `builder_version`: Public builder version tag.
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+ - `prompt_version`: Public prompt-serialization version tag.
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+ - `sft_target`: SFT-only supervised target string. Present only in `processdata_sft.*`.
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+
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+ ### Notes
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+
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+ - `T5` is equivalent to `T_progress`.
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+ - `T8` is equivalent to `T_temporal`.
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+ - `T9` is equivalent to `T_binary`.
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+ - `T8` is normalized into six explicit permutation choices so the public table remains flat and Parquet-friendly.
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+ - `T9` is normalized to `A/B` choices even when the source data originally used `X/Y`.
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+
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+
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+
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+ ## Prompt Templates
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+ This file documents the public prompt serialization used by the current release build. Separate source-side task-meta prompting is intentionally disabled in this public release.
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+
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+ ### Standard multiple-choice template
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+
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+ ```text
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+ {question}
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+
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+ A: {choice_A}
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+ B: {choice_B}
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+ ...
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+
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+ Choose exactly one option label.
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+
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+ Output protocol:
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+ - You may include brief reasoning before the final answer.
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+ - The final line must be exactly: <ANSWER>A</ANSWER>
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+ - Do not output anything after </ANSWER>.
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+ ```
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+
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+ ### `T8` Temporal Ordering template
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+
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+ ```text
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+ You are shown 3 frames from a robot manipulation task.
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+ The frames are labeled X, Y, Z (these labels are arbitrary identifiers, not positional, and not time-ordered).
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+ Determine the correct chronological order of these frames (from earliest to latest).
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+ Choose exactly one 3-letter permutation, for example: YXZ means Y happened first, then X, then Z.
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+
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+ Output protocol:
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+ - You may include brief reasoning before the final answer.
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+ - The final line must be exactly: <ANSWER>XYZ</ANSWER>
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+ - Do not output anything after </ANSWER>.
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+ ```
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+
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+ ### `T9` Temporal Priority template
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+ ```text
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+ A single comparison image shows two labeled robot-manipulation panels from the same episode.
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+ The left-right placement of the panels and the labels are arbitrary identifiers and do not indicate temporal order.
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+ Which labeled panel happened earlier in the real manipulation sequence, X or Y?
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+ Choose exactly one label: X or Y.
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+
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+ Output protocol:
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+ - You may include brief reasoning before the final answer.
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+ - The final line must be exactly: <ANSWER>X</ANSWER>
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+ - Do not output anything after </ANSWER>.
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+ ```
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  ## License and Terms
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