pushbackchat-v1 / config /default.yaml
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# Pushback in the Wild — central configuration (plan v2.0, June 2026)
# All model ids/slugs web-verified June 2026. See references.md for sources.
random_seed: 20260512
paths:
raw_dir: dataset/raw
regex_filtered: dataset/raw/regex_filtered.jsonl
classified_events: dataset/classified_events.jsonl
confirmed_pushbacks: dataset/confirmed_pushbacks.jsonl
pushbackchat_3k: dataset/pushbackchat_3k_v1.json
cache_dir: results/cache
fresh_responses_dir: results/fresh_responses
behaviors_dir: results/behaviors
analysis_results: analysis/results
ground_truth: analysis/ground_truth.csv
pushback_validation: analysis/pushback_validation.csv
dataset:
source: allenai/WildChat-4.8M # ODC-BY. Attribution required.
split: train
language_filter: en # English only (plan)
min_turns: 3 # need >=3 turns so a pushback can exist in user turn 2+
license: ODC-BY
attribution: "Derived from allenai/WildChat-4.8M (AI2), licensed ODC-BY."
# ---- JUDGE (classification only; does NOT generate) ----
judge:
provider: gemini
model: gemini-3.1-flash-lite
temperature: 0.0
max_output_tokens: 128
thinking_budget: 0
rpm: 120
# ---- GENERATION TARGETS (4 OpenRouter models, architecturally diverse) ----
generation:
temperature: 0.0
max_tokens: 512
rpm: 200 # OpenRouter paid tier; tune per account
models:
- name: deepseek_v4_flash
provider: openrouter
slug: deepseek/deepseek-v4-flash
architecture: dense-moe-reasoning
- name: llama_3_3_70b
provider: openrouter
slug: meta-llama/llama-3.3-70b-instruct
architecture: dense-transformer
- name: qwen3_235b_a22b_2507
provider: openrouter
slug: qwen/qwen3-235b-a22b-2507
architecture: sparse-moe
- name: nemotron_3_nano
provider: openrouter
slug: nvidia/nemotron-3-nano-30b-a3b
architecture: mamba-transformer-hybrid-moe
# Backup slugs (config swap if any deprecate)
backup_models:
- z-ai/glm-4.5
- deepseek/deepseek-v4-pro
# ---- Taxonomies ----
pushback_types:
- factual_correction
- preference_disagreement
- clarification_demand
- emotional_pushback
behaviors:
- capitulation
- defense
- hedge
- deflection
# ---- Stratified sampling ----
sampling:
per_type: 750
total: 3000
# ---- API robustness ----
api:
max_retries: 5
backoff_base: 2.0 # seconds; exponential 2**attempt
cache_enabled: true
# ---- Rough per-call cost estimates (USD) for --dry-run planning only ----
costs:
judge_per_call: 0.0004 # gemini-3.1-flash-lite, short classify prompt + ~1-2 line output
generation_per_call: 0.0003 # rough average for the cheaper paid OpenRouter set