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README.md

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 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: user
-    dtype: string
-  - name: assistant
-    dtype: string
-  - name: difficulty_tier
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 7194085718.375
-    num_examples: 199293
-  download_size: 121124922
-  dataset_size: 7194085718.375
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+dataset_name: cleaned-plotqa-v2-difficulty
+tags:
+- plotqa
+- visual-question-answering
+- curriculum-learning
+- difficulty-estimation
+- rule-based
 ---
+
+# Cleaned-PlotQA v2 difficulty tiers (rule-based)
+
+This repository augments jrc/cleaned-plotqa-v2 with a single additional column, difficulty_tier ∈ {easy, medium, hard}, tailored to the numeric and visual reasoning characteristics of PlotQA-style scientific plots [1][2][3].  
+
+## Tier counts
+
+- easy: 199293  
+- medium: 0  
+- hard: 0  
+- total labeled: 199293  
+
+## Criteria summary
+
+This release adds a single column difficulty_tier ∈ {easy, medium, hard} using a deterministic, PlotQA-oriented scoring function:
+- Numeric reasoning: detection of arithmetic/aggregation (sum, difference, ratio, percentage, average), multi-operator stacking, and comparison/threshold cues.
+- Extremum/trend: explicit emphasis on max/min/peak/valley and slope/rate-of-change/derivative; any “line/curve + extremum” is never classified as easy.
+- Visual grounding: references to axes, ticks, legend, lines/bars/curves, and positional terms (left/right/top/bottom/adjacent) raise difficulty.
+- Units and formats: recognition of %, scientific notation, unit tokens (k/M/B, °C, km, kg, Hz, etc.), ranges (10–20), and uncertainty (±, std dev, variance).
+- Series disambiguation: color terms and multi-entity words (both/all/each/every/together/combined/grouped/stacked/multi) increase difficulty.
+Thresholds are tuned higher than for ChartQA to reflect stronger numeric complexity commonly observed in scientific plot QA tasks.
+
+## Notes
+
+- Only one new column is introduced; no changes to the original fields of the cleaned dataset.  
+- The rules prioritize numeric reasoning, extremum/trend detection, units, and multi-entity aggregation for realistic difficulty separation in PlotQA-style QA [2][3].  
+
+## References
+
+[1] jrc/cleaned-plotqa-v2 (compact cleaned release for convenient QA experimentation).  
+[2] PlotQA: Reasoning over Scientific Plots (benchmark introducing large-scale, open-vocabulary numeric QA on plots).  
+[3] PlotQA details and motivation for numeric reasoning challenges in open-vocabulary answer settings.