Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +1 -0
- .gitignore +9 -0
- COLAB_SETUP.md +105 -0
- README.md +421 -3
- artifacts/calibration/decision_phase.json +32 -0
- artifacts/calibration/iab_content.json +32 -0
- artifacts/calibration/intent_subtype.json +32 -0
- artifacts/calibration/intent_type.json +32 -0
- artifacts/evaluation/intent_threshold_sweep.json +1294 -0
- artifacts/evaluation/latest/combined_demo_benchmark.json +1352 -0
- artifacts/evaluation/latest/decision_phase_difficulty_benchmark_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_difficulty_benchmark_report.json +95 -0
- artifacts/evaluation/latest/decision_phase_final_wave_cases_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_final_wave_cases_report.json +69 -0
- artifacts/evaluation/latest/decision_phase_hard_cases_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_hard_cases_report.json +69 -0
- artifacts/evaluation/latest/decision_phase_test_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_test_report.json +69 -0
- artifacts/evaluation/latest/decision_phase_train_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_train_report.json +69 -0
- artifacts/evaluation/latest/decision_phase_val_confusion_matrix.csv +8 -0
- artifacts/evaluation/latest/decision_phase_val_report.json +69 -0
- artifacts/evaluation/latest/iab_behavior_lock_regression.json +245 -0
- artifacts/evaluation/latest/iab_content_cross_vertical_benchmark_report.json +93 -0
- artifacts/evaluation/latest/iab_content_difficulty_benchmark_report.json +93 -0
- artifacts/evaluation/latest/iab_content_extended_cases_report.json +64 -0
- artifacts/evaluation/latest/iab_content_hard_cases_report.json +66 -0
- artifacts/evaluation/latest/iab_content_test_report.json +58 -0
- artifacts/evaluation/latest/iab_content_train_report.json +67 -0
- artifacts/evaluation/latest/iab_content_val_report.json +67 -0
- artifacts/evaluation/latest/iab_cross_vertical_behavior_lock_regression.json +1731 -0
- artifacts/evaluation/latest/iab_cross_vertical_quality_target_eval.json +0 -0
- artifacts/evaluation/latest/iab_cross_vertical_regression.json +1731 -0
- artifacts/evaluation/latest/iab_mapping_regression.json +245 -0
- artifacts/evaluation/latest/iab_quality_target_eval.json +411 -0
- artifacts/evaluation/latest/intent_subtype_difficulty_benchmark_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_difficulty_benchmark_report.json +161 -0
- artifacts/evaluation/latest/intent_subtype_extended_cases_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_extended_cases_report.json +135 -0
- artifacts/evaluation/latest/intent_subtype_hard_cases_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_hard_cases_report.json +135 -0
- artifacts/evaluation/latest/intent_subtype_test_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_test_report.json +135 -0
- artifacts/evaluation/latest/intent_subtype_train_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_train_report.json +135 -0
- artifacts/evaluation/latest/intent_subtype_val_confusion_matrix.csv +19 -0
- artifacts/evaluation/latest/intent_subtype_val_report.json +135 -0
- artifacts/evaluation/latest/intent_type_difficulty_benchmark_confusion_matrix.csv +11 -0
- artifacts/evaluation/latest/intent_type_difficulty_benchmark_report.json +113 -0
- artifacts/evaluation/latest/intent_type_hard_cases_confusion_matrix.csv +11 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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multitask_intent_model_output/multitask_intent.onnx.data filter=lfs diff=lfs merge=lfs -text
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.gitignore
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__pycache__/
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*.pyc
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.DS_Store
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model_output/
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decision_phase_model_output/
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subtype_model_output/
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iab_model_output/
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*/model.safetensors
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iab_hierarchy_model_output/
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COLAB_SETUP.md
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# Google Colab setup — agentic-intent-classifier
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## 1. Runtime
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**Runtime → Change runtime type → GPU** (T4/L4/A100). Then verify:
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```python
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import torch
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print(torch.cuda.is_available(), torch.cuda.get_device_name(0) if torch.cuda.is_available() else "CPU")
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```
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+
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## 2. Get the code
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**Option A — clone (if the repo is public or you use a token):**
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```python
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!git clone <YOUR_REPO_URL> protocol
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%cd protocol/agentic-intent-classifier
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```
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+
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**Option B — upload:** Zip `agentic-intent-classifier/` (including `data/`, `examples/`, taxonomy TSV under `data/iab-content/` if you use IAB), unzip in Colab, then:
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```python
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%cd /content/agentic-intent-classifier
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```
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## 3. Install dependencies
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```python
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%pip install -q -r requirements.txt
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```
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If `requirements.txt` is missing, install manually:
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```python
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%pip install -q torch transformers datasets accelerate scikit-learn numpy pandas safetensors
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```
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## 4. Optional: quieter TensorFlow / XLA logs
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Run **before** importing `combined_inference` or anything that pulls TensorFlow:
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```python
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import os
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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os.environ["ABSL_MIN_LOG_LEVEL"] = "3"
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```
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Harmless CUDA “already registered” lines may still appear; they do not mean training failed.
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## 5. Optional: persist artifacts on Google Drive
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```python
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from google.colab import drive
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drive.mount("/content/drive")
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```
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| 57 |
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Copy outputs to Drive after training, or symlink `multitask_intent_model_output` / `artifacts` / `iab_classifier_model_output` to a Drive folder.
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| 59 |
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## 6. Full pipeline (train + IAB + calibrate + verify + ONNX + smoke test)
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From `agentic-intent-classifier/`:
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```python
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!python training/run_full_training_pipeline.py --skip-full-eval --complete
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```
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- `--skip-full-eval` avoids the heaviest eval pass (OOM on small RAM); remove when you have headroom.
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- `--complete` = export multitask ONNX + `pipeline_verify.py` + one `combined_inference` query.
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**Artifacts-only check (after copying weights in):**
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| 72 |
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| 73 |
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```python
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!python training/pipeline_verify.py
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```
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**Single query:**
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```python
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!python combined_inference.py "Which laptop should I buy for college?"
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```
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| 82 |
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| 83 |
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Check `meta.iab_mapping_is_placeholder`: `false` only if IAB was trained and calibration exists.
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| 84 |
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| 85 |
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## 7. Minimal path (intent multitask + calibrate only)
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| 86 |
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| 87 |
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If you only run multitask training and calibration in Colab (no full orchestrator):
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| 88 |
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| 89 |
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```text
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| 90 |
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python training/train_multitask_intent.py
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| 91 |
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python training/calibrate_confidence.py --head intent_type
|
| 92 |
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python training/calibrate_confidence.py --head intent_subtype
|
| 93 |
+
python training/calibrate_confidence.py --head decision_phase
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| 94 |
+
```
|
| 95 |
+
|
| 96 |
+
Production “complete” stack still needs **IAB train + IAB calibrate** (see `run_full_training_pipeline.py`).
|
| 97 |
+
|
| 98 |
+
## 8. Working directory
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| 99 |
+
|
| 100 |
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Always `cd` to the folder that contains `config.py`, `training/`, and `data/`:
|
| 101 |
+
|
| 102 |
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```python
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| 103 |
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import os
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| 104 |
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assert os.path.isfile("config.py"), "Wrong directory — cd into agentic-intent-classifier"
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| 105 |
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```
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README.md
CHANGED
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-
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-
---
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|
| 1 |
+
# Agentic Intent Classifier
|
| 2 |
+
|
| 3 |
+
`agentic-intent-classifier` is a multi-head query classification stack for conversational traffic.
|
| 4 |
+
|
| 5 |
+
It currently produces:
|
| 6 |
+
|
| 7 |
+
- `intent.type`
|
| 8 |
+
- `intent.subtype`
|
| 9 |
+
- `intent.decision_phase`
|
| 10 |
+
- `iab_content`
|
| 11 |
+
- calibrated confidence per head
|
| 12 |
+
- combined fallback / policy / opportunity decisions
|
| 13 |
+
|
| 14 |
+
The repo is beyond the original v0.1 baseline. It now includes:
|
| 15 |
+
|
| 16 |
+
- shared config and label ownership
|
| 17 |
+
- reusable model runtime
|
| 18 |
+
- calibrated confidence and threshold gating
|
| 19 |
+
- combined inference with fallback/policy logic
|
| 20 |
+
- request/response validation in the demo API
|
| 21 |
+
- repeatable evaluation and regression suites
|
| 22 |
+
- full-TSV IAB taxonomy retrieval support through tier4
|
| 23 |
+
- a local embedding index for taxonomy-node retrieval over IAB content paths
|
| 24 |
+
- a separate synthetic full-intent-taxonomy augmentation dataset for non-IAB heads
|
| 25 |
+
- a dedicated intent-type difficulty dataset and held-out benchmark with `easy`, `medium`, and `hard` cases
|
| 26 |
+
- a dedicated decision-phase difficulty dataset and held-out benchmark with `easy`, `medium`, and `hard` cases
|
| 27 |
+
|
| 28 |
+
Generated model weights are intentionally not committed.
|
| 29 |
+
|
| 30 |
+
## Current Taxonomy
|
| 31 |
+
|
| 32 |
+
### `intent.type`
|
| 33 |
+
|
| 34 |
+
- `informational`
|
| 35 |
+
- `exploratory`
|
| 36 |
+
- `commercial`
|
| 37 |
+
- `transactional`
|
| 38 |
+
- `support`
|
| 39 |
+
- `personal_reflection`
|
| 40 |
+
- `creative_generation`
|
| 41 |
+
- `chit_chat`
|
| 42 |
+
- `ambiguous`
|
| 43 |
+
- `prohibited`
|
| 44 |
+
|
| 45 |
+
### `intent.decision_phase`
|
| 46 |
+
|
| 47 |
+
- `awareness`
|
| 48 |
+
- `research`
|
| 49 |
+
- `consideration`
|
| 50 |
+
- `decision`
|
| 51 |
+
- `action`
|
| 52 |
+
- `post_purchase`
|
| 53 |
+
- `support`
|
| 54 |
+
|
| 55 |
+
### `intent.subtype`
|
| 56 |
+
|
| 57 |
+
- `education`
|
| 58 |
+
- `product_discovery`
|
| 59 |
+
- `comparison`
|
| 60 |
+
- `evaluation`
|
| 61 |
+
- `deal_seeking`
|
| 62 |
+
- `provider_selection`
|
| 63 |
+
- `signup`
|
| 64 |
+
- `purchase`
|
| 65 |
+
- `booking`
|
| 66 |
+
- `download`
|
| 67 |
+
- `contact_sales`
|
| 68 |
+
- `task_execution`
|
| 69 |
+
- `onboarding_setup`
|
| 70 |
+
- `troubleshooting`
|
| 71 |
+
- `account_help`
|
| 72 |
+
- `billing_help`
|
| 73 |
+
- `follow_up`
|
| 74 |
+
- `emotional_reflection`
|
| 75 |
+
|
| 76 |
+
### `iab_content`
|
| 77 |
+
|
| 78 |
+
- candidates are derived from every row in [data/iab-content/Content Taxonomy 3.0.tsv](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/iab-content/Content%20Taxonomy%203.0.tsv)
|
| 79 |
+
- retrieval output supports `tier1`, `tier2`, `tier3`, and optional `tier4`
|
| 80 |
+
|
| 81 |
+
## What The System Does
|
| 82 |
+
|
| 83 |
+
- runs three classifier heads:
|
| 84 |
+
- `intent_type`
|
| 85 |
+
- `intent_subtype`
|
| 86 |
+
- `decision_phase`
|
| 87 |
+
- resolves `iab_content` through a local embedding index over taxonomy nodes plus generic label/path reranking
|
| 88 |
+
- applies calibration artifacts when present
|
| 89 |
+
- computes `commercial_score`
|
| 90 |
+
- applies fallback when confidence is too weak or policy-safe blocking is required
|
| 91 |
+
- emits a schema-validated combined envelope
|
| 92 |
+
|
| 93 |
+
## What The System Does Not Do
|
| 94 |
+
|
| 95 |
+
- it is not a multi-turn memory system
|
| 96 |
+
- it is not a production-optimized low-latency serving path
|
| 97 |
+
- it is not yet trained on large real-traffic human-labeled intent data
|
| 98 |
+
- combined decision logic is still heuristic, even though it is materially stronger than the original baseline
|
| 99 |
+
|
| 100 |
+
## Project Layout
|
| 101 |
+
|
| 102 |
+
- [config.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/config.py): labels, thresholds, artifact paths, model paths
|
| 103 |
+
- [model_runtime.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/model_runtime.py): shared calibrated inference runtime
|
| 104 |
+
- [combined_inference.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/combined_inference.py): composed system response
|
| 105 |
+
- [inference_intent_type.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/inference_intent_type.py): direct `intent_type` inference entrypoint
|
| 106 |
+
- [inference_iab_classifier.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/inference_iab_classifier.py): direct supervised `iab_content` inference entrypoint
|
| 107 |
+
- [schemas.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/schemas.py): request/response validation
|
| 108 |
+
- [demo_api.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/demo_api.py): local validated API
|
| 109 |
+
- [iab_taxonomy.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/iab_taxonomy.py): full taxonomy parser/index
|
| 110 |
+
- [iab_classifier.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/iab_classifier.py): supervised IAB runtime with taxonomy-aware parent fallback
|
| 111 |
+
- [iab_retrieval.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/iab_retrieval.py): optional shadow retrieval baseline
|
| 112 |
+
- [training/build_full_intent_taxonomy_dataset.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_full_intent_taxonomy_dataset.py): separate synthetic intent augmentation dataset
|
| 113 |
+
- [training/build_intent_type_difficulty_dataset.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_intent_type_difficulty_dataset.py): extra `intent_type` augmentation plus held-out difficulty benchmark
|
| 114 |
+
- [training/build_decision_phase_difficulty_dataset.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_decision_phase_difficulty_dataset.py): extra `decision_phase` augmentation plus held-out difficulty benchmark
|
| 115 |
+
- [training/build_subtype_difficulty_dataset.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_subtype_difficulty_dataset.py): extra `intent_subtype` augmentation plus held-out difficulty benchmark
|
| 116 |
+
- [training/build_subtype_dataset.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_subtype_dataset.py): subtype dataset generation from existing corpora
|
| 117 |
+
- [training/train_iab.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/train_iab.py): train the supervised IAB classifier head
|
| 118 |
+
- [training/build_iab_taxonomy_embeddings.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/build_iab_taxonomy_embeddings.py): build local IAB node embedding artifacts
|
| 119 |
+
- [training/run_full_training_pipeline.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/training/run_full_training_pipeline.py): full multi-head training/calibration/eval pipeline
|
| 120 |
+
- [evaluation/run_evaluation.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/evaluation/run_evaluation.py): repeatable benchmark runner
|
| 121 |
+
- [evaluation/run_regression_suite.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/evaluation/run_regression_suite.py): known-failure regression runner
|
| 122 |
+
- [evaluation/run_iab_mapping_suite.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/evaluation/run_iab_mapping_suite.py): IAB behavior-lock regression runner
|
| 123 |
+
- [evaluation/run_iab_quality_suite.py](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/evaluation/run_iab_quality_suite.py): curated IAB quality-target runner
|
| 124 |
+
- [known_limitations.md](/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/known_limitations.md): current gaps and caveats
|
| 125 |
+
|
| 126 |
+
## Setup
|
| 127 |
+
|
| 128 |
+
```bash
|
| 129 |
+
python3 -m venv .venv
|
| 130 |
+
source .venv/bin/activate
|
| 131 |
+
pip install -r agentic-intent-classifier/requirements.txt
|
| 132 |
+
```
|
| 133 |
+
|
| 134 |
+
## Inference
|
| 135 |
+
|
| 136 |
+
Run one query locally:
|
| 137 |
+
|
| 138 |
+
```bash
|
| 139 |
+
cd agentic-intent-classifier
|
| 140 |
+
python3 training/train_iab.py
|
| 141 |
+
python3 training/calibrate_confidence.py --head iab_content
|
| 142 |
+
python3 combined_inference.py "Which CRM should I buy for a 3-person startup?"
|
| 143 |
+
```
|
| 144 |
+
|
| 145 |
+
Run only the `intent_type` head:
|
| 146 |
+
|
| 147 |
+
```bash
|
| 148 |
+
cd agentic-intent-classifier
|
| 149 |
+
python3 inference_intent_type.py "best shoes under 100"
|
| 150 |
+
```
|
| 151 |
+
|
| 152 |
+
Run the demo API:
|
| 153 |
+
|
| 154 |
+
```bash
|
| 155 |
+
cd agentic-intent-classifier
|
| 156 |
+
python3 demo_api.py
|
| 157 |
+
```
|
| 158 |
+
|
| 159 |
+
Example request:
|
| 160 |
+
|
| 161 |
+
```bash
|
| 162 |
+
curl -sS -X POST http://127.0.0.1:8008/classify \
|
| 163 |
+
-H 'Content-Type: application/json' \
|
| 164 |
+
-d '{"text":"I cannot log into my account"}'
|
| 165 |
+
```
|
| 166 |
+
|
| 167 |
+
Infra endpoints:
|
| 168 |
+
|
| 169 |
+
```bash
|
| 170 |
+
curl -sS http://127.0.0.1:8008/health
|
| 171 |
+
curl -sS http://127.0.0.1:8008/version
|
| 172 |
+
```
|
| 173 |
+
|
| 174 |
+
Train only the IAB classifier head:
|
| 175 |
+
|
| 176 |
+
```bash
|
| 177 |
+
cd agentic-intent-classifier
|
| 178 |
+
python3 training/train_iab.py
|
| 179 |
+
python3 training/calibrate_confidence.py --head iab_content
|
| 180 |
+
```
|
| 181 |
+
|
| 182 |
+
The online `iab_content` path now uses the compact supervised classifier. Retrieval is still available as an optional shadow baseline.
|
| 183 |
+
|
| 184 |
+
Build the optional retrieval shadow index:
|
| 185 |
+
|
| 186 |
+
```bash
|
| 187 |
+
cd agentic-intent-classifier
|
| 188 |
+
python3 training/build_iab_taxonomy_embeddings.py
|
| 189 |
+
```
|
| 190 |
+
|
| 191 |
+
By default the shadow retrieval path uses `Alibaba-NLP/gte-Qwen2-1.5B-instruct`. The retrieval runtime applies the model's query-side instruction format and last-token pooling, matching the Hugging Face usage guidance. If you want to point retrieval at a different embedding model, set `IAB_RETRIEVAL_MODEL_NAME_OVERRIDE` before building the index.
|
| 192 |
+
|
| 193 |
+
Open-source users can swap in their own embedding model, but the contract is:
|
| 194 |
+
|
| 195 |
+
- query embeddings and taxonomy-node embeddings must be produced by the same model and model revision
|
| 196 |
+
- after changing models, you must rebuild `artifacts/iab/taxonomy_embeddings.pt`
|
| 197 |
+
- the repository only tests and supports the default model path out of the box
|
| 198 |
+
- not every Hugging Face embedding model is drop-in compatible with this runtime; some require custom pooling, query instructions, or `trust_remote_code`
|
| 199 |
+
|
| 200 |
+
Example override:
|
| 201 |
+
|
| 202 |
+
```bash
|
| 203 |
+
cd agentic-intent-classifier
|
| 204 |
+
export IAB_RETRIEVAL_MODEL_NAME_OVERRIDE=mixedbread-ai/mxbai-embed-large-v1
|
| 205 |
+
python3 training/build_iab_taxonomy_embeddings.py
|
| 206 |
+
```
|
| 207 |
+
|
| 208 |
+
This writes:
|
| 209 |
+
|
| 210 |
+
- `artifacts/iab/taxonomy_nodes.json`
|
| 211 |
+
- `artifacts/iab/taxonomy_embeddings.pt`
|
| 212 |
+
|
| 213 |
+
## Training
|
| 214 |
+
|
| 215 |
+
### Full local pipeline
|
| 216 |
+
|
| 217 |
+
```bash
|
| 218 |
+
cd agentic-intent-classifier
|
| 219 |
+
python3 training/run_full_training_pipeline.py
|
| 220 |
+
```
|
| 221 |
+
|
| 222 |
+
This pipeline now does:
|
| 223 |
+
|
| 224 |
+
1. build separate full-intent-taxonomy augmentation data
|
| 225 |
+
2. build separate `intent_type` difficulty augmentation + benchmark
|
| 226 |
+
3. train `intent_type`
|
| 227 |
+
4. build subtype corpus
|
| 228 |
+
5. build separate `intent_subtype` difficulty augmentation + benchmark
|
| 229 |
+
6. train `intent_subtype`
|
| 230 |
+
7. build separate `decision_phase` difficulty augmentation + benchmark
|
| 231 |
+
8. train `decision_phase`
|
| 232 |
+
9. train `iab_content`
|
| 233 |
+
10. calibrate all classifier heads, including `iab_content`
|
| 234 |
+
11. run regression/evaluation unless `--skip-full-eval` is used
|
| 235 |
+
|
| 236 |
+
### Build datasets individually
|
| 237 |
+
|
| 238 |
+
Separate full-intent augmentation:
|
| 239 |
+
|
| 240 |
+
```bash
|
| 241 |
+
cd agentic-intent-classifier
|
| 242 |
+
python3 training/build_full_intent_taxonomy_dataset.py
|
| 243 |
+
```
|
| 244 |
+
|
| 245 |
+
Intent-type difficulty augmentation and benchmark:
|
| 246 |
+
|
| 247 |
+
```bash
|
| 248 |
+
cd agentic-intent-classifier
|
| 249 |
+
python3 training/build_intent_type_difficulty_dataset.py
|
| 250 |
+
```
|
| 251 |
+
|
| 252 |
+
Decision-phase difficulty augmentation and benchmark:
|
| 253 |
+
|
| 254 |
+
```bash
|
| 255 |
+
cd agentic-intent-classifier
|
| 256 |
+
python3 training/build_decision_phase_difficulty_dataset.py
|
| 257 |
+
```
|
| 258 |
+
|
| 259 |
+
Subtype difficulty augmentation and benchmark:
|
| 260 |
+
|
| 261 |
+
```bash
|
| 262 |
+
cd agentic-intent-classifier
|
| 263 |
+
python3 training/build_subtype_difficulty_dataset.py
|
| 264 |
+
```
|
| 265 |
+
|
| 266 |
+
Subtype dataset:
|
| 267 |
+
|
| 268 |
+
```bash
|
| 269 |
+
cd agentic-intent-classifier
|
| 270 |
+
python3 training/build_subtype_dataset.py
|
| 271 |
+
```
|
| 272 |
+
|
| 273 |
+
IAB embedding index:
|
| 274 |
+
|
| 275 |
+
```bash
|
| 276 |
+
cd agentic-intent-classifier
|
| 277 |
+
python3 training/build_iab_taxonomy_embeddings.py
|
| 278 |
+
```
|
| 279 |
+
|
| 280 |
+
### Train heads individually
|
| 281 |
+
|
| 282 |
+
```bash
|
| 283 |
+
cd agentic-intent-classifier
|
| 284 |
+
python3 training/train.py
|
| 285 |
+
python3 training/train_subtype.py
|
| 286 |
+
python3 training/train_decision_phase.py
|
| 287 |
+
```
|
| 288 |
+
|
| 289 |
+
### Calibration
|
| 290 |
+
|
| 291 |
+
```bash
|
| 292 |
+
cd agentic-intent-classifier
|
| 293 |
+
python3 training/calibrate_confidence.py --head intent_type
|
| 294 |
+
python3 training/calibrate_confidence.py --head intent_subtype
|
| 295 |
+
python3 training/calibrate_confidence.py --head decision_phase
|
| 296 |
+
```
|
| 297 |
+
|
| 298 |
+
## Evaluation
|
| 299 |
+
|
| 300 |
+
Full evaluation:
|
| 301 |
+
|
| 302 |
+
```bash
|
| 303 |
+
cd agentic-intent-classifier
|
| 304 |
+
python3 evaluation/run_evaluation.py
|
| 305 |
+
```
|
| 306 |
+
|
| 307 |
+
Known-failure regression:
|
| 308 |
+
|
| 309 |
+
```bash
|
| 310 |
+
cd agentic-intent-classifier
|
| 311 |
+
python3 evaluation/run_regression_suite.py
|
| 312 |
+
```
|
| 313 |
+
|
| 314 |
+
IAB behavior-lock regression:
|
| 315 |
+
|
| 316 |
+
```bash
|
| 317 |
+
cd agentic-intent-classifier
|
| 318 |
+
python3 evaluation/run_iab_mapping_suite.py
|
| 319 |
+
```
|
| 320 |
+
|
| 321 |
+
IAB quality-target evaluation:
|
| 322 |
+
|
| 323 |
+
```bash
|
| 324 |
+
cd agentic-intent-classifier
|
| 325 |
+
python3 evaluation/run_iab_quality_suite.py
|
| 326 |
+
```
|
| 327 |
+
|
| 328 |
+
Threshold sweeps:
|
| 329 |
+
|
| 330 |
+
```bash
|
| 331 |
+
cd agentic-intent-classifier
|
| 332 |
+
python3 evaluation/sweep_intent_threshold.py
|
| 333 |
+
```
|
| 334 |
+
|
| 335 |
+
Artifacts are written to:
|
| 336 |
+
|
| 337 |
+
- `artifacts/calibration/`
|
| 338 |
+
- `artifacts/evaluation/latest/`
|
| 339 |
+
|
| 340 |
+
## Google Colab
|
| 341 |
+
|
| 342 |
+
Use Colab for the full retraining pass if local memory is limited.
|
| 343 |
+
|
| 344 |
+
Clone once:
|
| 345 |
+
|
| 346 |
+
```bash
|
| 347 |
+
%cd /content
|
| 348 |
+
!git clone https://github.com/GouniManikumar12/agentic-intent-classifier.git
|
| 349 |
+
%cd /content/agentic-intent-classifier
|
| 350 |
+
```
|
| 351 |
+
|
| 352 |
+
If the repo is already cloned and you want the latest code, pull manually:
|
| 353 |
+
|
| 354 |
+
```bash
|
| 355 |
+
!git pull origin main
|
| 356 |
+
```
|
| 357 |
+
|
| 358 |
+
Full pipeline:
|
| 359 |
+
|
| 360 |
+
```bash
|
| 361 |
+
!python training/run_full_training_pipeline.py
|
| 362 |
+
```
|
| 363 |
+
|
| 364 |
+
If full evaluation is too heavy for the current Colab runtime:
|
| 365 |
+
|
| 366 |
+
```bash
|
| 367 |
+
!python training/run_full_training_pipeline.py \
|
| 368 |
+
--iab-embedding-batch-size 32 \
|
| 369 |
+
--skip-full-eval
|
| 370 |
+
```
|
| 371 |
+
|
| 372 |
+
Then run eval separately after training:
|
| 373 |
+
|
| 374 |
+
```bash
|
| 375 |
+
!python evaluation/run_regression_suite.py
|
| 376 |
+
!python evaluation/run_iab_mapping_suite.py
|
| 377 |
+
!python evaluation/run_iab_quality_suite.py
|
| 378 |
+
!python evaluation/run_evaluation.py
|
| 379 |
+
```
|
| 380 |
+
|
| 381 |
+
## Current Saved Metrics
|
| 382 |
+
|
| 383 |
+
Generate fresh metrics with:
|
| 384 |
+
|
| 385 |
+
```bash
|
| 386 |
+
cd agentic-intent-classifier
|
| 387 |
+
python3 evaluation/run_evaluation.py
|
| 388 |
+
```
|
| 389 |
+
|
| 390 |
+
Do not treat any checked-in summary as canonical unless it was regenerated after the current code and artifacts were built. The IAB path is now retrieval-based, so older saved reports from the deleted hierarchy stack are not meaningful.
|
| 391 |
+
|
| 392 |
+
## Latency Note
|
| 393 |
+
|
| 394 |
+
`combined_inference.py` is a debugging/offline path, not a production latency path.
|
| 395 |
+
|
| 396 |
+
Current production truth:
|
| 397 |
+
|
| 398 |
+
- per-request CLI execution is not a sub-50ms architecture
|
| 399 |
+
- production serving should use a long-lived API process with preloaded models
|
| 400 |
+
- if sub-50ms becomes a hard requirement, the serving path will need:
|
| 401 |
+
- persistent loaded models
|
| 402 |
+
- runtime optimization
|
| 403 |
+
- likely fewer model passes or a shared multi-head model
|
| 404 |
+
|
| 405 |
+
## Current Status
|
| 406 |
+
|
| 407 |
+
Current repo status:
|
| 408 |
+
|
| 409 |
+
- full 10-class `intent.type` taxonomy is wired
|
| 410 |
+
- subtype and phase heads are present
|
| 411 |
+
- difficulty benchmarks are wired for `intent_type`, `intent_subtype`, and `decision_phase`
|
| 412 |
+
- full-TSV IAB taxonomy retrieval is wired through tier4
|
| 413 |
+
- separate full-intent augmentation dataset is in place
|
| 414 |
+
- evaluation/runtime memory handling is improved for large IAB splits
|
| 415 |
+
|
| 416 |
+
The main remaining gap is not basic infrastructure anymore. It is improving real-world robustness, especially for:
|
| 417 |
+
|
| 418 |
+
- `decision_phase`
|
| 419 |
+
- `intent_subtype`
|
| 420 |
+
- confidence quality on borderline commercial queries
|
| 421 |
+
- real-traffic supervision beyond synthetic data
|
artifacts/calibration/decision_phase.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"calibrated": true,
|
| 3 |
+
"confidence_threshold": 0.22,
|
| 4 |
+
"generated_at": "2026-03-25T05:10:14.092098+00:00",
|
| 5 |
+
"head": "decision_phase",
|
| 6 |
+
"metrics": {
|
| 7 |
+
"calibrated_accuracy": 0.8621,
|
| 8 |
+
"calibrated_expected_calibration_error": 0.0877,
|
| 9 |
+
"calibrated_negative_log_likelihood": 0.5315,
|
| 10 |
+
"mean_calibrated_confidence": 0.866,
|
| 11 |
+
"mean_raw_confidence": 0.8684,
|
| 12 |
+
"raw_accuracy": 0.8621,
|
| 13 |
+
"raw_expected_calibration_error": 0.087,
|
| 14 |
+
"raw_negative_log_likelihood": 0.5317
|
| 15 |
+
},
|
| 16 |
+
"minimum_threshold_floor": 0.22,
|
| 17 |
+
"optimized_temperature_candidate": 1.008347,
|
| 18 |
+
"selected_threshold_before_floor": {
|
| 19 |
+
"accepted_accuracy": 0.8621,
|
| 20 |
+
"coverage": 1.0,
|
| 21 |
+
"threshold": 0.0
|
| 22 |
+
},
|
| 23 |
+
"selection_split": "val",
|
| 24 |
+
"selection_target_precision": 0.75,
|
| 25 |
+
"temperature": 1.008347,
|
| 26 |
+
"temperature_scaling_applied": true,
|
| 27 |
+
"threshold_summary": {
|
| 28 |
+
"accepted_accuracy": 0.8621,
|
| 29 |
+
"coverage": 1.0,
|
| 30 |
+
"threshold": 0.22
|
| 31 |
+
}
|
| 32 |
+
}
|
artifacts/calibration/iab_content.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"calibrated": true,
|
| 3 |
+
"confidence_threshold": 0.12,
|
| 4 |
+
"generated_at": "2026-03-25T05:12:02.550364+00:00",
|
| 5 |
+
"head": "iab_content",
|
| 6 |
+
"metrics": {
|
| 7 |
+
"calibrated_accuracy": 0.9442,
|
| 8 |
+
"calibrated_expected_calibration_error": 0.2773,
|
| 9 |
+
"calibrated_negative_log_likelihood": 0.5519,
|
| 10 |
+
"mean_calibrated_confidence": 0.6669,
|
| 11 |
+
"mean_raw_confidence": 0.2286,
|
| 12 |
+
"raw_accuracy": 0.9442,
|
| 13 |
+
"raw_expected_calibration_error": 0.7157,
|
| 14 |
+
"raw_negative_log_likelihood": 1.6567
|
| 15 |
+
},
|
| 16 |
+
"minimum_threshold_floor": 0.12,
|
| 17 |
+
"optimized_temperature_candidate": 0.607335,
|
| 18 |
+
"selected_threshold_before_floor": {
|
| 19 |
+
"accepted_accuracy": 0.9442,
|
| 20 |
+
"coverage": 1.0,
|
| 21 |
+
"threshold": 0.0
|
| 22 |
+
},
|
| 23 |
+
"selection_split": "val",
|
| 24 |
+
"selection_target_precision": 0.7,
|
| 25 |
+
"temperature": 0.607335,
|
| 26 |
+
"temperature_scaling_applied": true,
|
| 27 |
+
"threshold_summary": {
|
| 28 |
+
"accepted_accuracy": 0.9478,
|
| 29 |
+
"coverage": 0.9915,
|
| 30 |
+
"threshold": 0.12
|
| 31 |
+
}
|
| 32 |
+
}
|
artifacts/calibration/intent_subtype.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"calibrated": true,
|
| 3 |
+
"confidence_threshold": 0.25,
|
| 4 |
+
"generated_at": "2026-03-25T05:09:58.809351+00:00",
|
| 5 |
+
"head": "intent_subtype",
|
| 6 |
+
"metrics": {
|
| 7 |
+
"calibrated_accuracy": 0.875,
|
| 8 |
+
"calibrated_expected_calibration_error": 0.0778,
|
| 9 |
+
"calibrated_negative_log_likelihood": 0.4165,
|
| 10 |
+
"mean_calibrated_confidence": 0.8225,
|
| 11 |
+
"mean_raw_confidence": 0.7521,
|
| 12 |
+
"raw_accuracy": 0.875,
|
| 13 |
+
"raw_expected_calibration_error": 0.1475,
|
| 14 |
+
"raw_negative_log_likelihood": 0.4843
|
| 15 |
+
},
|
| 16 |
+
"minimum_threshold_floor": 0.25,
|
| 17 |
+
"optimized_temperature_candidate": 0.834211,
|
| 18 |
+
"selected_threshold_before_floor": {
|
| 19 |
+
"accepted_accuracy": 0.875,
|
| 20 |
+
"coverage": 1.0,
|
| 21 |
+
"threshold": 0.0
|
| 22 |
+
},
|
| 23 |
+
"selection_split": "val",
|
| 24 |
+
"selection_target_precision": 0.75,
|
| 25 |
+
"temperature": 0.834211,
|
| 26 |
+
"temperature_scaling_applied": true,
|
| 27 |
+
"threshold_summary": {
|
| 28 |
+
"accepted_accuracy": 0.875,
|
| 29 |
+
"coverage": 1.0,
|
| 30 |
+
"threshold": 0.25
|
| 31 |
+
}
|
| 32 |
+
}
|
artifacts/calibration/intent_type.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"calibrated": true,
|
| 3 |
+
"confidence_threshold": 0.4,
|
| 4 |
+
"generated_at": "2026-03-25T05:09:42.900721+00:00",
|
| 5 |
+
"head": "intent_type",
|
| 6 |
+
"metrics": {
|
| 7 |
+
"calibrated_accuracy": 0.9362,
|
| 8 |
+
"calibrated_expected_calibration_error": 0.0424,
|
| 9 |
+
"calibrated_negative_log_likelihood": 0.3117,
|
| 10 |
+
"mean_calibrated_confidence": 0.8993,
|
| 11 |
+
"mean_raw_confidence": 0.8741,
|
| 12 |
+
"raw_accuracy": 0.9362,
|
| 13 |
+
"raw_expected_calibration_error": 0.0788,
|
| 14 |
+
"raw_negative_log_likelihood": 0.3262
|
| 15 |
+
},
|
| 16 |
+
"minimum_threshold_floor": 0.4,
|
| 17 |
+
"optimized_temperature_candidate": 0.916196,
|
| 18 |
+
"selected_threshold_before_floor": {
|
| 19 |
+
"accepted_accuracy": 0.9362,
|
| 20 |
+
"coverage": 1.0,
|
| 21 |
+
"threshold": 0.0
|
| 22 |
+
},
|
| 23 |
+
"selection_split": "val",
|
| 24 |
+
"selection_target_precision": 0.8,
|
| 25 |
+
"temperature": 0.916196,
|
| 26 |
+
"temperature_scaling_applied": true,
|
| 27 |
+
"threshold_summary": {
|
| 28 |
+
"accepted_accuracy": 0.9362,
|
| 29 |
+
"coverage": 1.0,
|
| 30 |
+
"threshold": 0.4
|
| 31 |
+
}
|
| 32 |
+
}
|
artifacts/evaluation/intent_threshold_sweep.json
ADDED
|
@@ -0,0 +1,1294 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
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|
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|
|
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|
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"suite_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/intent_threshold_sweep_suite.json"
|
| 1127 |
+
},
|
| 1128 |
+
"head": {
|
| 1129 |
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"ambiguous_bad_allow_rate": 0.1053,
|
| 1130 |
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"ambiguous_prompt_count": 38,
|
| 1131 |
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"obvious_false_fallback_rate": 0.0625,
|
| 1132 |
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"obvious_prompt_count": 96,
|
| 1133 |
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"safe_predicate_rate": 0.2917
|
| 1134 |
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},
|
| 1135 |
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"threshold": 0.4
|
| 1136 |
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},
|
| 1137 |
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{
|
| 1138 |
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"combined": {
|
| 1139 |
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"bad_allow_rate_on_safe_prompts": 0.0,
|
| 1140 |
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"benchmark_fallback_rate": 0.6667,
|
| 1141 |
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"benchmark_intent_only_fallback_rate": 0.1333,
|
| 1142 |
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"benchmark_phase_only_fallback_rate": 0.4667,
|
| 1143 |
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"fallback_responsibility": {
|
| 1144 |
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"both": 0,
|
| 1145 |
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"fallback_rate": 0.7,
|
| 1146 |
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"intent_only": 2,
|
| 1147 |
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"intent_share_of_threshold_fallbacks": 0.2857,
|
| 1148 |
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"phase_only": 5,
|
| 1149 |
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"phase_share_of_threshold_fallbacks": 0.7143,
|
| 1150 |
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"policy_safe": 0
|
| 1151 |
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},
|
| 1152 |
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"false_fallback_rate_on_obvious_prompts": 0.5,
|
| 1153 |
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"obvious_prompt_count": 6,
|
| 1154 |
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"safe_prompt_count": 4,
|
| 1155 |
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"suite_outputs": [
|
| 1156 |
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{
|
| 1157 |
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"decision_phase": "awareness",
|
| 1158 |
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"expected_outcome": "pass",
|
| 1159 |
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"failed_components": [],
|
| 1160 |
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"fallback_applied": false,
|
| 1161 |
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"input": "What is CRM software?",
|
| 1162 |
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"intent_confidence": 0.8488,
|
| 1163 |
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"intent_type": "informational",
|
| 1164 |
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"phase_confidence": 0.4134
|
| 1165 |
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},
|
| 1166 |
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{
|
| 1167 |
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"decision_phase": "research",
|
| 1168 |
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"expected_outcome": "pass",
|
| 1169 |
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"failed_components": [
|
| 1170 |
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"intent_type"
|
| 1171 |
+
],
|
| 1172 |
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"fallback_applied": true,
|
| 1173 |
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"input": "Help me understand CRM basics",
|
| 1174 |
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"intent_confidence": 0.4226,
|
| 1175 |
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"intent_type": "informational",
|
| 1176 |
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"phase_confidence": 0.2602
|
| 1177 |
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},
|
| 1178 |
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{
|
| 1179 |
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"decision_phase": "consideration",
|
| 1180 |
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"expected_outcome": "pass",
|
| 1181 |
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"failed_components": [],
|
| 1182 |
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"fallback_applied": false,
|
| 1183 |
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"input": "HubSpot vs Zoho for a small team",
|
| 1184 |
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"intent_confidence": 0.6819,
|
| 1185 |
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"intent_type": "commercial",
|
| 1186 |
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"phase_confidence": 0.3331
|
| 1187 |
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},
|
| 1188 |
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{
|
| 1189 |
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"decision_phase": "decision",
|
| 1190 |
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"expected_outcome": "pass",
|
| 1191 |
+
"failed_components": [],
|
| 1192 |
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"fallback_applied": false,
|
| 1193 |
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"input": "Which CRM should I buy for a 3-person startup?",
|
| 1194 |
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"intent_confidence": 0.7691,
|
| 1195 |
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"intent_type": "informational",
|
| 1196 |
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"phase_confidence": 0.2879
|
| 1197 |
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},
|
| 1198 |
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{
|
| 1199 |
+
"decision_phase": "action",
|
| 1200 |
+
"expected_outcome": "pass",
|
| 1201 |
+
"failed_components": [
|
| 1202 |
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"decision_phase"
|
| 1203 |
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],
|
| 1204 |
+
"fallback_applied": true,
|
| 1205 |
+
"input": "Start my free trial",
|
| 1206 |
+
"intent_confidence": 0.5429,
|
| 1207 |
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"intent_type": "transactional",
|
| 1208 |
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"phase_confidence": 0.1875
|
| 1209 |
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},
|
| 1210 |
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{
|
| 1211 |
+
"decision_phase": "action",
|
| 1212 |
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"expected_outcome": "pass",
|
| 1213 |
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"failed_components": [
|
| 1214 |
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"decision_phase"
|
| 1215 |
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],
|
| 1216 |
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"fallback_applied": true,
|
| 1217 |
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"input": "Book a table for 2 tonight",
|
| 1218 |
+
"intent_confidence": 0.5284,
|
| 1219 |
+
"intent_type": "transactional",
|
| 1220 |
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"phase_confidence": 0.1716
|
| 1221 |
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},
|
| 1222 |
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{
|
| 1223 |
+
"decision_phase": "support",
|
| 1224 |
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"expected_outcome": "fallback",
|
| 1225 |
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"failed_components": [
|
| 1226 |
+
"intent_type"
|
| 1227 |
+
],
|
| 1228 |
+
"fallback_applied": true,
|
| 1229 |
+
"input": "I cannot log into my account",
|
| 1230 |
+
"intent_confidence": 0.3314,
|
| 1231 |
+
"intent_type": "personal_reflection",
|
| 1232 |
+
"phase_confidence": 0.275
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"decision_phase": "action",
|
| 1236 |
+
"expected_outcome": "fallback",
|
| 1237 |
+
"failed_components": [
|
| 1238 |
+
"decision_phase"
|
| 1239 |
+
],
|
| 1240 |
+
"fallback_applied": true,
|
| 1241 |
+
"input": "go deeper",
|
| 1242 |
+
"intent_confidence": 0.6527,
|
| 1243 |
+
"intent_type": "ambiguous",
|
| 1244 |
+
"phase_confidence": 0.1638
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"decision_phase": "research",
|
| 1248 |
+
"expected_outcome": "fallback",
|
| 1249 |
+
"failed_components": [
|
| 1250 |
+
"decision_phase"
|
| 1251 |
+
],
|
| 1252 |
+
"fallback_applied": true,
|
| 1253 |
+
"input": "say more about that",
|
| 1254 |
+
"intent_confidence": 0.6538,
|
| 1255 |
+
"intent_type": "ambiguous",
|
| 1256 |
+
"phase_confidence": 0.1674
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"decision_phase": "awareness",
|
| 1260 |
+
"expected_outcome": "fallback",
|
| 1261 |
+
"failed_components": [
|
| 1262 |
+
"decision_phase"
|
| 1263 |
+
],
|
| 1264 |
+
"fallback_applied": true,
|
| 1265 |
+
"input": "what do you mean by that",
|
| 1266 |
+
"intent_confidence": 0.4595,
|
| 1267 |
+
"intent_type": "ambiguous",
|
| 1268 |
+
"phase_confidence": 0.1718
|
| 1269 |
+
}
|
| 1270 |
+
],
|
| 1271 |
+
"suite_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/intent_threshold_sweep_suite.json"
|
| 1272 |
+
},
|
| 1273 |
+
"head": {
|
| 1274 |
+
"ambiguous_bad_allow_rate": 0.1053,
|
| 1275 |
+
"ambiguous_prompt_count": 38,
|
| 1276 |
+
"obvious_false_fallback_rate": 0.1042,
|
| 1277 |
+
"obvious_prompt_count": 96,
|
| 1278 |
+
"safe_predicate_rate": 0.2917
|
| 1279 |
+
},
|
| 1280 |
+
"threshold": 0.45
|
| 1281 |
+
}
|
| 1282 |
+
],
|
| 1283 |
+
"thresholds": [
|
| 1284 |
+
0.0,
|
| 1285 |
+
0.1,
|
| 1286 |
+
0.15,
|
| 1287 |
+
0.2,
|
| 1288 |
+
0.25,
|
| 1289 |
+
0.3,
|
| 1290 |
+
0.35,
|
| 1291 |
+
0.4,
|
| 1292 |
+
0.45
|
| 1293 |
+
]
|
| 1294 |
+
}
|
artifacts/evaluation/latest/combined_demo_benchmark.json
ADDED
|
@@ -0,0 +1,1352 @@
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"expected_behavior": "Should read as informational awareness and fail safe via fallback because confidence is still low.",
|
| 4 |
+
"input": "What is CRM software?",
|
| 5 |
+
"response": {
|
| 6 |
+
"meta": {
|
| 7 |
+
"calibration_enabled": true,
|
| 8 |
+
"system_version": "0.6.0-phase4"
|
| 9 |
+
},
|
| 10 |
+
"model_output": {
|
| 11 |
+
"classification": {
|
| 12 |
+
"iab_content": {
|
| 13 |
+
"mapping_confidence": 0.9035,
|
| 14 |
+
"mapping_mode": "nearest_equivalent",
|
| 15 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 16 |
+
"taxonomy_version": "3.0",
|
| 17 |
+
"tier1": {
|
| 18 |
+
"id": "596",
|
| 19 |
+
"label": "Technology & Computing"
|
| 20 |
+
},
|
| 21 |
+
"tier2": {
|
| 22 |
+
"id": "599",
|
| 23 |
+
"label": "Computing"
|
| 24 |
+
},
|
| 25 |
+
"tier3": {
|
| 26 |
+
"id": "602",
|
| 27 |
+
"label": "Software and Applications"
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"intent": {
|
| 31 |
+
"commercial_score": 0.0875,
|
| 32 |
+
"component_confidence": {
|
| 33 |
+
"decision_phase": {
|
| 34 |
+
"calibrated": true,
|
| 35 |
+
"confidence": 0.9947,
|
| 36 |
+
"confidence_threshold": 0.22,
|
| 37 |
+
"label": "awareness",
|
| 38 |
+
"meets_threshold": true,
|
| 39 |
+
"raw_confidence": 0.9788
|
| 40 |
+
},
|
| 41 |
+
"intent_subtype": {
|
| 42 |
+
"calibrated": true,
|
| 43 |
+
"confidence": 0.9547,
|
| 44 |
+
"confidence_threshold": 0.25,
|
| 45 |
+
"label": "education",
|
| 46 |
+
"meets_threshold": true,
|
| 47 |
+
"raw_confidence": 0.9547
|
| 48 |
+
},
|
| 49 |
+
"intent_type": {
|
| 50 |
+
"calibrated": true,
|
| 51 |
+
"confidence": 0.9972,
|
| 52 |
+
"confidence_threshold": 0.4,
|
| 53 |
+
"label": "informational",
|
| 54 |
+
"meets_threshold": true,
|
| 55 |
+
"raw_confidence": 0.9662
|
| 56 |
+
},
|
| 57 |
+
"overall_strategy": "min_required_component_confidence"
|
| 58 |
+
},
|
| 59 |
+
"confidence": 0.9947,
|
| 60 |
+
"decision_phase": "awareness",
|
| 61 |
+
"subtype": "education",
|
| 62 |
+
"summary": "Classified as informational intent with subtype education in the awareness phase.",
|
| 63 |
+
"type": "informational"
|
| 64 |
+
}
|
| 65 |
+
},
|
| 66 |
+
"fallback": null
|
| 67 |
+
},
|
| 68 |
+
"system_decision": {
|
| 69 |
+
"intent_trajectory": [
|
| 70 |
+
"awareness"
|
| 71 |
+
],
|
| 72 |
+
"opportunity": {
|
| 73 |
+
"strength": "low",
|
| 74 |
+
"type": "none"
|
| 75 |
+
},
|
| 76 |
+
"policy": {
|
| 77 |
+
"applied_thresholds": {
|
| 78 |
+
"commercial_score_min": 0.6,
|
| 79 |
+
"decision_phase_confidence_min": 0.22,
|
| 80 |
+
"intent_subtype_confidence_min": 0.25,
|
| 81 |
+
"intent_type_confidence_min": 0.4
|
| 82 |
+
},
|
| 83 |
+
"decision_basis": "score_threshold",
|
| 84 |
+
"eligibility_reason": "commercial_signal_below_threshold",
|
| 85 |
+
"monetization_eligibility": "restricted",
|
| 86 |
+
"regulated_vertical": false,
|
| 87 |
+
"sensitivity": "low"
|
| 88 |
+
}
|
| 89 |
+
}
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"expected_behavior": "Should lean informational research and still fall back conservatively.",
|
| 94 |
+
"input": "Help me understand CRM basics",
|
| 95 |
+
"response": {
|
| 96 |
+
"meta": {
|
| 97 |
+
"calibration_enabled": true,
|
| 98 |
+
"system_version": "0.6.0-phase4"
|
| 99 |
+
},
|
| 100 |
+
"model_output": {
|
| 101 |
+
"classification": {
|
| 102 |
+
"iab_content": {
|
| 103 |
+
"mapping_confidence": 0.8427,
|
| 104 |
+
"mapping_mode": "nearest_equivalent",
|
| 105 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 106 |
+
"taxonomy_version": "3.0",
|
| 107 |
+
"tier1": {
|
| 108 |
+
"id": "1",
|
| 109 |
+
"label": "Automotive"
|
| 110 |
+
}
|
| 111 |
+
},
|
| 112 |
+
"intent": {
|
| 113 |
+
"commercial_score": 0.0875,
|
| 114 |
+
"component_confidence": {
|
| 115 |
+
"decision_phase": {
|
| 116 |
+
"calibrated": true,
|
| 117 |
+
"confidence": 0.9944,
|
| 118 |
+
"confidence_threshold": 0.22,
|
| 119 |
+
"label": "awareness",
|
| 120 |
+
"meets_threshold": true,
|
| 121 |
+
"raw_confidence": 0.9779
|
| 122 |
+
},
|
| 123 |
+
"intent_subtype": {
|
| 124 |
+
"calibrated": true,
|
| 125 |
+
"confidence": 0.955,
|
| 126 |
+
"confidence_threshold": 0.25,
|
| 127 |
+
"label": "education",
|
| 128 |
+
"meets_threshold": true,
|
| 129 |
+
"raw_confidence": 0.955
|
| 130 |
+
},
|
| 131 |
+
"intent_type": {
|
| 132 |
+
"calibrated": true,
|
| 133 |
+
"confidence": 0.9969,
|
| 134 |
+
"confidence_threshold": 0.4,
|
| 135 |
+
"label": "informational",
|
| 136 |
+
"meets_threshold": true,
|
| 137 |
+
"raw_confidence": 0.9637
|
| 138 |
+
},
|
| 139 |
+
"overall_strategy": "min_required_component_confidence"
|
| 140 |
+
},
|
| 141 |
+
"confidence": 0.9944,
|
| 142 |
+
"decision_phase": "awareness",
|
| 143 |
+
"subtype": "education",
|
| 144 |
+
"summary": "Classified as informational intent with subtype education in the awareness phase.",
|
| 145 |
+
"type": "informational"
|
| 146 |
+
}
|
| 147 |
+
},
|
| 148 |
+
"fallback": null
|
| 149 |
+
},
|
| 150 |
+
"system_decision": {
|
| 151 |
+
"intent_trajectory": [
|
| 152 |
+
"awareness"
|
| 153 |
+
],
|
| 154 |
+
"opportunity": {
|
| 155 |
+
"strength": "low",
|
| 156 |
+
"type": "none"
|
| 157 |
+
},
|
| 158 |
+
"policy": {
|
| 159 |
+
"applied_thresholds": {
|
| 160 |
+
"commercial_score_min": 0.6,
|
| 161 |
+
"decision_phase_confidence_min": 0.22,
|
| 162 |
+
"intent_subtype_confidence_min": 0.25,
|
| 163 |
+
"intent_type_confidence_min": 0.4
|
| 164 |
+
},
|
| 165 |
+
"decision_basis": "score_threshold",
|
| 166 |
+
"eligibility_reason": "commercial_signal_below_threshold",
|
| 167 |
+
"monetization_eligibility": "restricted",
|
| 168 |
+
"regulated_vertical": false,
|
| 169 |
+
"sensitivity": "low"
|
| 170 |
+
}
|
| 171 |
+
}
|
| 172 |
+
}
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"expected_behavior": "Should behave like a commercial comparison or selection query, but v0.1 still falls back because confidence is low.",
|
| 176 |
+
"input": "Best CRM for small teams",
|
| 177 |
+
"response": {
|
| 178 |
+
"meta": {
|
| 179 |
+
"calibration_enabled": true,
|
| 180 |
+
"system_version": "0.6.0-phase4"
|
| 181 |
+
},
|
| 182 |
+
"model_output": {
|
| 183 |
+
"classification": {
|
| 184 |
+
"iab_content": {
|
| 185 |
+
"mapping_confidence": 0.7798,
|
| 186 |
+
"mapping_mode": "nearest_equivalent",
|
| 187 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 188 |
+
"taxonomy_version": "3.0",
|
| 189 |
+
"tier1": {
|
| 190 |
+
"id": "483",
|
| 191 |
+
"label": "Sports"
|
| 192 |
+
}
|
| 193 |
+
},
|
| 194 |
+
"intent": {
|
| 195 |
+
"commercial_score": 0.656,
|
| 196 |
+
"component_confidence": {
|
| 197 |
+
"decision_phase": {
|
| 198 |
+
"calibrated": true,
|
| 199 |
+
"confidence": 0.9965,
|
| 200 |
+
"confidence_threshold": 0.22,
|
| 201 |
+
"label": "consideration",
|
| 202 |
+
"meets_threshold": true,
|
| 203 |
+
"raw_confidence": 0.9846
|
| 204 |
+
},
|
| 205 |
+
"intent_subtype": {
|
| 206 |
+
"calibrated": true,
|
| 207 |
+
"confidence": 0.4682,
|
| 208 |
+
"confidence_threshold": 0.25,
|
| 209 |
+
"label": "product_discovery",
|
| 210 |
+
"meets_threshold": true,
|
| 211 |
+
"raw_confidence": 0.4682
|
| 212 |
+
},
|
| 213 |
+
"intent_type": {
|
| 214 |
+
"calibrated": true,
|
| 215 |
+
"confidence": 0.9995,
|
| 216 |
+
"confidence_threshold": 0.4,
|
| 217 |
+
"label": "commercial",
|
| 218 |
+
"meets_threshold": true,
|
| 219 |
+
"raw_confidence": 0.9895
|
| 220 |
+
},
|
| 221 |
+
"overall_strategy": "min_required_component_confidence"
|
| 222 |
+
},
|
| 223 |
+
"confidence": 0.4682,
|
| 224 |
+
"decision_phase": "consideration",
|
| 225 |
+
"subtype": "product_discovery",
|
| 226 |
+
"summary": "Classified as commercial intent with subtype product_discovery in the consideration phase.",
|
| 227 |
+
"type": "commercial"
|
| 228 |
+
}
|
| 229 |
+
},
|
| 230 |
+
"fallback": null
|
| 231 |
+
},
|
| 232 |
+
"system_decision": {
|
| 233 |
+
"intent_trajectory": [
|
| 234 |
+
"consideration"
|
| 235 |
+
],
|
| 236 |
+
"opportunity": {
|
| 237 |
+
"strength": "medium",
|
| 238 |
+
"type": "soft_recommendation"
|
| 239 |
+
},
|
| 240 |
+
"policy": {
|
| 241 |
+
"applied_thresholds": {
|
| 242 |
+
"commercial_score_min": 0.6,
|
| 243 |
+
"decision_phase_confidence_min": 0.22,
|
| 244 |
+
"intent_subtype_confidence_min": 0.25,
|
| 245 |
+
"intent_type_confidence_min": 0.4
|
| 246 |
+
},
|
| 247 |
+
"decision_basis": "score_threshold",
|
| 248 |
+
"eligibility_reason": "commercial_discovery_signal_present",
|
| 249 |
+
"monetization_eligibility": "allowed_with_caution",
|
| 250 |
+
"regulated_vertical": false,
|
| 251 |
+
"sensitivity": "low"
|
| 252 |
+
}
|
| 253 |
+
}
|
| 254 |
+
}
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"expected_behavior": "Should read as a commercial comparison in consideration and remain conservative if confidence stays low.",
|
| 258 |
+
"input": "HubSpot vs Zoho for a small team",
|
| 259 |
+
"response": {
|
| 260 |
+
"meta": {
|
| 261 |
+
"calibration_enabled": true,
|
| 262 |
+
"system_version": "0.6.0-phase4"
|
| 263 |
+
},
|
| 264 |
+
"model_output": {
|
| 265 |
+
"classification": {
|
| 266 |
+
"iab_content": {
|
| 267 |
+
"mapping_confidence": 0.8606,
|
| 268 |
+
"mapping_mode": "nearest_equivalent",
|
| 269 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 270 |
+
"taxonomy_version": "3.0",
|
| 271 |
+
"tier1": {
|
| 272 |
+
"id": "596",
|
| 273 |
+
"label": "Technology & Computing"
|
| 274 |
+
},
|
| 275 |
+
"tier2": {
|
| 276 |
+
"id": "599",
|
| 277 |
+
"label": "Computing"
|
| 278 |
+
},
|
| 279 |
+
"tier3": {
|
| 280 |
+
"id": "619",
|
| 281 |
+
"label": "Internet"
|
| 282 |
+
}
|
| 283 |
+
},
|
| 284 |
+
"intent": {
|
| 285 |
+
"commercial_score": 0.728,
|
| 286 |
+
"component_confidence": {
|
| 287 |
+
"decision_phase": {
|
| 288 |
+
"calibrated": true,
|
| 289 |
+
"confidence": 0.9964,
|
| 290 |
+
"confidence_threshold": 0.22,
|
| 291 |
+
"label": "consideration",
|
| 292 |
+
"meets_threshold": true,
|
| 293 |
+
"raw_confidence": 0.9842
|
| 294 |
+
},
|
| 295 |
+
"intent_subtype": {
|
| 296 |
+
"calibrated": true,
|
| 297 |
+
"confidence": 0.9449,
|
| 298 |
+
"confidence_threshold": 0.25,
|
| 299 |
+
"label": "comparison",
|
| 300 |
+
"meets_threshold": true,
|
| 301 |
+
"raw_confidence": 0.9449
|
| 302 |
+
},
|
| 303 |
+
"intent_type": {
|
| 304 |
+
"calibrated": true,
|
| 305 |
+
"confidence": 0.9995,
|
| 306 |
+
"confidence_threshold": 0.4,
|
| 307 |
+
"label": "commercial",
|
| 308 |
+
"meets_threshold": true,
|
| 309 |
+
"raw_confidence": 0.9892
|
| 310 |
+
},
|
| 311 |
+
"overall_strategy": "min_required_component_confidence"
|
| 312 |
+
},
|
| 313 |
+
"confidence": 0.9449,
|
| 314 |
+
"decision_phase": "consideration",
|
| 315 |
+
"subtype": "comparison",
|
| 316 |
+
"summary": "Classified as commercial intent with subtype comparison in the consideration phase.",
|
| 317 |
+
"type": "commercial"
|
| 318 |
+
}
|
| 319 |
+
},
|
| 320 |
+
"fallback": null
|
| 321 |
+
},
|
| 322 |
+
"system_decision": {
|
| 323 |
+
"intent_trajectory": [
|
| 324 |
+
"consideration"
|
| 325 |
+
],
|
| 326 |
+
"opportunity": {
|
| 327 |
+
"strength": "high",
|
| 328 |
+
"type": "comparison_slot"
|
| 329 |
+
},
|
| 330 |
+
"policy": {
|
| 331 |
+
"applied_thresholds": {
|
| 332 |
+
"commercial_score_min": 0.6,
|
| 333 |
+
"decision_phase_confidence_min": 0.22,
|
| 334 |
+
"intent_subtype_confidence_min": 0.25,
|
| 335 |
+
"intent_type_confidence_min": 0.4
|
| 336 |
+
},
|
| 337 |
+
"decision_basis": "score_threshold",
|
| 338 |
+
"eligibility_reason": "commercial_comparison_signal_present",
|
| 339 |
+
"monetization_eligibility": "allowed_with_caution",
|
| 340 |
+
"regulated_vertical": false,
|
| 341 |
+
"sensitivity": "low"
|
| 342 |
+
}
|
| 343 |
+
}
|
| 344 |
+
}
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"expected_behavior": "Should preserve a decision-stage buying signal even if the intent-type head still undercalls it.",
|
| 348 |
+
"input": "Which CRM should I buy for a 3-person startup?",
|
| 349 |
+
"response": {
|
| 350 |
+
"meta": {
|
| 351 |
+
"calibration_enabled": true,
|
| 352 |
+
"system_version": "0.6.0-phase4"
|
| 353 |
+
},
|
| 354 |
+
"model_output": {
|
| 355 |
+
"classification": {
|
| 356 |
+
"iab_content": {
|
| 357 |
+
"mapping_confidence": 0.8737,
|
| 358 |
+
"mapping_mode": "nearest_equivalent",
|
| 359 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 360 |
+
"taxonomy_version": "3.0",
|
| 361 |
+
"tier1": {
|
| 362 |
+
"id": "52",
|
| 363 |
+
"label": "Business and Finance"
|
| 364 |
+
},
|
| 365 |
+
"tier2": {
|
| 366 |
+
"id": "53",
|
| 367 |
+
"label": "Business"
|
| 368 |
+
}
|
| 369 |
+
},
|
| 370 |
+
"intent": {
|
| 371 |
+
"commercial_score": 0.8525,
|
| 372 |
+
"component_confidence": {
|
| 373 |
+
"decision_phase": {
|
| 374 |
+
"calibrated": true,
|
| 375 |
+
"confidence": 0.963,
|
| 376 |
+
"confidence_threshold": 0.22,
|
| 377 |
+
"label": "decision",
|
| 378 |
+
"meets_threshold": true,
|
| 379 |
+
"raw_confidence": 0.9122
|
| 380 |
+
},
|
| 381 |
+
"intent_subtype": {
|
| 382 |
+
"calibrated": true,
|
| 383 |
+
"confidence": 0.9119,
|
| 384 |
+
"confidence_threshold": 0.25,
|
| 385 |
+
"label": "provider_selection",
|
| 386 |
+
"meets_threshold": true,
|
| 387 |
+
"raw_confidence": 0.9119
|
| 388 |
+
},
|
| 389 |
+
"intent_type": {
|
| 390 |
+
"calibrated": true,
|
| 391 |
+
"confidence": 0.9994,
|
| 392 |
+
"confidence_threshold": 0.4,
|
| 393 |
+
"label": "commercial",
|
| 394 |
+
"meets_threshold": true,
|
| 395 |
+
"raw_confidence": 0.9874
|
| 396 |
+
},
|
| 397 |
+
"overall_strategy": "min_required_component_confidence"
|
| 398 |
+
},
|
| 399 |
+
"confidence": 0.9119,
|
| 400 |
+
"decision_phase": "decision",
|
| 401 |
+
"subtype": "provider_selection",
|
| 402 |
+
"summary": "Classified as commercial intent with subtype provider_selection in the decision phase.",
|
| 403 |
+
"type": "commercial"
|
| 404 |
+
}
|
| 405 |
+
},
|
| 406 |
+
"fallback": null
|
| 407 |
+
},
|
| 408 |
+
"system_decision": {
|
| 409 |
+
"intent_trajectory": [
|
| 410 |
+
"decision"
|
| 411 |
+
],
|
| 412 |
+
"opportunity": {
|
| 413 |
+
"strength": "high",
|
| 414 |
+
"type": "decision_moment"
|
| 415 |
+
},
|
| 416 |
+
"policy": {
|
| 417 |
+
"applied_thresholds": {
|
| 418 |
+
"commercial_score_min": 0.6,
|
| 419 |
+
"decision_phase_confidence_min": 0.22,
|
| 420 |
+
"intent_subtype_confidence_min": 0.25,
|
| 421 |
+
"intent_type_confidence_min": 0.4
|
| 422 |
+
},
|
| 423 |
+
"decision_basis": "score_threshold",
|
| 424 |
+
"eligibility_reason": "high_intent_subtype_signal",
|
| 425 |
+
"monetization_eligibility": "allowed",
|
| 426 |
+
"regulated_vertical": false,
|
| 427 |
+
"sensitivity": "low"
|
| 428 |
+
}
|
| 429 |
+
}
|
| 430 |
+
}
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"expected_behavior": "Should read as an action-stage transactional query and fail safe because confidence is low.",
|
| 434 |
+
"input": "Start my free trial",
|
| 435 |
+
"response": {
|
| 436 |
+
"meta": {
|
| 437 |
+
"calibration_enabled": true,
|
| 438 |
+
"system_version": "0.6.0-phase4"
|
| 439 |
+
},
|
| 440 |
+
"model_output": {
|
| 441 |
+
"classification": {
|
| 442 |
+
"iab_content": {
|
| 443 |
+
"mapping_confidence": 0.7133,
|
| 444 |
+
"mapping_mode": "nearest_equivalent",
|
| 445 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 446 |
+
"taxonomy_version": "3.0",
|
| 447 |
+
"tier1": {
|
| 448 |
+
"id": "239",
|
| 449 |
+
"label": "Hobbies & Interests"
|
| 450 |
+
},
|
| 451 |
+
"tier2": {
|
| 452 |
+
"id": "264",
|
| 453 |
+
"label": "Content Production"
|
| 454 |
+
},
|
| 455 |
+
"tier3": {
|
| 456 |
+
"id": "266",
|
| 457 |
+
"label": "Freelance Writing"
|
| 458 |
+
}
|
| 459 |
+
},
|
| 460 |
+
"intent": {
|
| 461 |
+
"commercial_score": 0.954,
|
| 462 |
+
"component_confidence": {
|
| 463 |
+
"decision_phase": {
|
| 464 |
+
"calibrated": true,
|
| 465 |
+
"confidence": 0.9991,
|
| 466 |
+
"confidence_threshold": 0.22,
|
| 467 |
+
"label": "action",
|
| 468 |
+
"meets_threshold": true,
|
| 469 |
+
"raw_confidence": 0.9947
|
| 470 |
+
},
|
| 471 |
+
"intent_subtype": {
|
| 472 |
+
"calibrated": true,
|
| 473 |
+
"confidence": 0.9382,
|
| 474 |
+
"confidence_threshold": 0.25,
|
| 475 |
+
"label": "signup",
|
| 476 |
+
"meets_threshold": true,
|
| 477 |
+
"raw_confidence": 0.9382
|
| 478 |
+
},
|
| 479 |
+
"intent_type": {
|
| 480 |
+
"calibrated": true,
|
| 481 |
+
"confidence": 0.9996,
|
| 482 |
+
"confidence_threshold": 0.4,
|
| 483 |
+
"label": "transactional",
|
| 484 |
+
"meets_threshold": true,
|
| 485 |
+
"raw_confidence": 0.9902
|
| 486 |
+
},
|
| 487 |
+
"overall_strategy": "min_required_component_confidence"
|
| 488 |
+
},
|
| 489 |
+
"confidence": 0.9382,
|
| 490 |
+
"decision_phase": "action",
|
| 491 |
+
"subtype": "signup",
|
| 492 |
+
"summary": "Classified as transactional intent with subtype signup in the action phase.",
|
| 493 |
+
"type": "transactional"
|
| 494 |
+
}
|
| 495 |
+
},
|
| 496 |
+
"fallback": null
|
| 497 |
+
},
|
| 498 |
+
"system_decision": {
|
| 499 |
+
"intent_trajectory": [
|
| 500 |
+
"action"
|
| 501 |
+
],
|
| 502 |
+
"opportunity": {
|
| 503 |
+
"strength": "high",
|
| 504 |
+
"type": "transaction_trigger"
|
| 505 |
+
},
|
| 506 |
+
"policy": {
|
| 507 |
+
"applied_thresholds": {
|
| 508 |
+
"commercial_score_min": 0.6,
|
| 509 |
+
"decision_phase_confidence_min": 0.22,
|
| 510 |
+
"intent_subtype_confidence_min": 0.25,
|
| 511 |
+
"intent_type_confidence_min": 0.4
|
| 512 |
+
},
|
| 513 |
+
"decision_basis": "score_threshold",
|
| 514 |
+
"eligibility_reason": "high_intent_subtype_signal",
|
| 515 |
+
"monetization_eligibility": "allowed",
|
| 516 |
+
"regulated_vertical": false,
|
| 517 |
+
"sensitivity": "low"
|
| 518 |
+
}
|
| 519 |
+
}
|
| 520 |
+
}
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"expected_behavior": "Should preserve generic action-stage transactional behavior outside SaaS language.",
|
| 524 |
+
"input": "Book a table for 2 tonight",
|
| 525 |
+
"response": {
|
| 526 |
+
"meta": {
|
| 527 |
+
"calibration_enabled": true,
|
| 528 |
+
"system_version": "0.6.0-phase4"
|
| 529 |
+
},
|
| 530 |
+
"model_output": {
|
| 531 |
+
"classification": {
|
| 532 |
+
"iab_content": {
|
| 533 |
+
"mapping_confidence": 0.7997,
|
| 534 |
+
"mapping_mode": "nearest_equivalent",
|
| 535 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 536 |
+
"taxonomy_version": "3.0",
|
| 537 |
+
"tier1": {
|
| 538 |
+
"id": "210",
|
| 539 |
+
"label": "Food & Drink"
|
| 540 |
+
},
|
| 541 |
+
"tier2": {
|
| 542 |
+
"id": "218",
|
| 543 |
+
"label": "Dining Out"
|
| 544 |
+
}
|
| 545 |
+
},
|
| 546 |
+
"intent": {
|
| 547 |
+
"commercial_score": 0.963,
|
| 548 |
+
"component_confidence": {
|
| 549 |
+
"decision_phase": {
|
| 550 |
+
"calibrated": true,
|
| 551 |
+
"confidence": 0.999,
|
| 552 |
+
"confidence_threshold": 0.22,
|
| 553 |
+
"label": "action",
|
| 554 |
+
"meets_threshold": true,
|
| 555 |
+
"raw_confidence": 0.9945
|
| 556 |
+
},
|
| 557 |
+
"intent_subtype": {
|
| 558 |
+
"calibrated": true,
|
| 559 |
+
"confidence": 0.8724,
|
| 560 |
+
"confidence_threshold": 0.25,
|
| 561 |
+
"label": "booking",
|
| 562 |
+
"meets_threshold": true,
|
| 563 |
+
"raw_confidence": 0.8724
|
| 564 |
+
},
|
| 565 |
+
"intent_type": {
|
| 566 |
+
"calibrated": true,
|
| 567 |
+
"confidence": 0.9996,
|
| 568 |
+
"confidence_threshold": 0.4,
|
| 569 |
+
"label": "transactional",
|
| 570 |
+
"meets_threshold": true,
|
| 571 |
+
"raw_confidence": 0.9901
|
| 572 |
+
},
|
| 573 |
+
"overall_strategy": "min_required_component_confidence"
|
| 574 |
+
},
|
| 575 |
+
"confidence": 0.8724,
|
| 576 |
+
"decision_phase": "action",
|
| 577 |
+
"subtype": "booking",
|
| 578 |
+
"summary": "Classified as transactional intent with subtype booking in the action phase.",
|
| 579 |
+
"type": "transactional"
|
| 580 |
+
}
|
| 581 |
+
},
|
| 582 |
+
"fallback": null
|
| 583 |
+
},
|
| 584 |
+
"system_decision": {
|
| 585 |
+
"intent_trajectory": [
|
| 586 |
+
"action"
|
| 587 |
+
],
|
| 588 |
+
"opportunity": {
|
| 589 |
+
"strength": "high",
|
| 590 |
+
"type": "transaction_trigger"
|
| 591 |
+
},
|
| 592 |
+
"policy": {
|
| 593 |
+
"applied_thresholds": {
|
| 594 |
+
"commercial_score_min": 0.6,
|
| 595 |
+
"decision_phase_confidence_min": 0.22,
|
| 596 |
+
"intent_subtype_confidence_min": 0.25,
|
| 597 |
+
"intent_type_confidence_min": 0.4
|
| 598 |
+
},
|
| 599 |
+
"decision_basis": "score_threshold",
|
| 600 |
+
"eligibility_reason": "high_intent_subtype_signal",
|
| 601 |
+
"monetization_eligibility": "allowed",
|
| 602 |
+
"regulated_vertical": false,
|
| 603 |
+
"sensitivity": "low"
|
| 604 |
+
}
|
| 605 |
+
}
|
| 606 |
+
}
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"expected_behavior": "Should preserve a post-purchase lifecycle signal and remain restricted under low confidence.",
|
| 610 |
+
"input": "How do I set up my new CRM?",
|
| 611 |
+
"response": {
|
| 612 |
+
"meta": {
|
| 613 |
+
"calibration_enabled": true,
|
| 614 |
+
"system_version": "0.6.0-phase4"
|
| 615 |
+
},
|
| 616 |
+
"model_output": {
|
| 617 |
+
"classification": {
|
| 618 |
+
"iab_content": {
|
| 619 |
+
"mapping_confidence": 0.8423,
|
| 620 |
+
"mapping_mode": "nearest_equivalent",
|
| 621 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 622 |
+
"taxonomy_version": "3.0",
|
| 623 |
+
"tier1": {
|
| 624 |
+
"id": "596",
|
| 625 |
+
"label": "Technology & Computing"
|
| 626 |
+
},
|
| 627 |
+
"tier2": {
|
| 628 |
+
"id": "599",
|
| 629 |
+
"label": "Computing"
|
| 630 |
+
},
|
| 631 |
+
"tier3": {
|
| 632 |
+
"id": "619",
|
| 633 |
+
"label": "Internet"
|
| 634 |
+
},
|
| 635 |
+
"tier4": {
|
| 636 |
+
"id": "620",
|
| 637 |
+
"label": "Cloud Computing"
|
| 638 |
+
}
|
| 639 |
+
},
|
| 640 |
+
"intent": {
|
| 641 |
+
"commercial_score": 0.3235,
|
| 642 |
+
"component_confidence": {
|
| 643 |
+
"decision_phase": {
|
| 644 |
+
"calibrated": true,
|
| 645 |
+
"confidence": 0.9736,
|
| 646 |
+
"confidence_threshold": 0.22,
|
| 647 |
+
"label": "post_purchase",
|
| 648 |
+
"meets_threshold": true,
|
| 649 |
+
"raw_confidence": 0.9264
|
| 650 |
+
},
|
| 651 |
+
"intent_subtype": {
|
| 652 |
+
"calibrated": true,
|
| 653 |
+
"confidence": 0.921,
|
| 654 |
+
"confidence_threshold": 0.25,
|
| 655 |
+
"label": "onboarding_setup",
|
| 656 |
+
"meets_threshold": true,
|
| 657 |
+
"raw_confidence": 0.921
|
| 658 |
+
},
|
| 659 |
+
"intent_type": {
|
| 660 |
+
"calibrated": true,
|
| 661 |
+
"confidence": 0.9935,
|
| 662 |
+
"confidence_threshold": 0.4,
|
| 663 |
+
"label": "transactional",
|
| 664 |
+
"meets_threshold": true,
|
| 665 |
+
"raw_confidence": 0.9448
|
| 666 |
+
},
|
| 667 |
+
"overall_strategy": "min_required_component_confidence"
|
| 668 |
+
},
|
| 669 |
+
"confidence": 0.9736,
|
| 670 |
+
"decision_phase": "post_purchase",
|
| 671 |
+
"subtype": "onboarding_setup",
|
| 672 |
+
"summary": "Classified as transactional intent with subtype onboarding_setup in the post_purchase phase.",
|
| 673 |
+
"type": "transactional"
|
| 674 |
+
}
|
| 675 |
+
},
|
| 676 |
+
"fallback": null
|
| 677 |
+
},
|
| 678 |
+
"system_decision": {
|
| 679 |
+
"intent_trajectory": [
|
| 680 |
+
"post_purchase"
|
| 681 |
+
],
|
| 682 |
+
"opportunity": {
|
| 683 |
+
"strength": "low",
|
| 684 |
+
"type": "soft_recommendation"
|
| 685 |
+
},
|
| 686 |
+
"policy": {
|
| 687 |
+
"applied_thresholds": {
|
| 688 |
+
"commercial_score_min": 0.6,
|
| 689 |
+
"decision_phase_confidence_min": 0.22,
|
| 690 |
+
"intent_subtype_confidence_min": 0.25,
|
| 691 |
+
"intent_type_confidence_min": 0.4
|
| 692 |
+
},
|
| 693 |
+
"decision_basis": "score_threshold",
|
| 694 |
+
"eligibility_reason": "post_purchase_setup_query",
|
| 695 |
+
"monetization_eligibility": "restricted",
|
| 696 |
+
"regulated_vertical": false,
|
| 697 |
+
"sensitivity": "low"
|
| 698 |
+
}
|
| 699 |
+
}
|
| 700 |
+
}
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"expected_behavior": "Should fail safe on a support-like query and keep monetization blocked.",
|
| 704 |
+
"input": "I cannot log into my account",
|
| 705 |
+
"response": {
|
| 706 |
+
"meta": {
|
| 707 |
+
"calibration_enabled": true,
|
| 708 |
+
"system_version": "0.6.0-phase4"
|
| 709 |
+
},
|
| 710 |
+
"model_output": {
|
| 711 |
+
"classification": {
|
| 712 |
+
"iab_content": {
|
| 713 |
+
"mapping_confidence": 0.8039,
|
| 714 |
+
"mapping_mode": "nearest_equivalent",
|
| 715 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 716 |
+
"taxonomy_version": "3.0",
|
| 717 |
+
"tier1": {
|
| 718 |
+
"id": "596",
|
| 719 |
+
"label": "Technology & Computing"
|
| 720 |
+
},
|
| 721 |
+
"tier2": {
|
| 722 |
+
"id": "599",
|
| 723 |
+
"label": "Computing"
|
| 724 |
+
},
|
| 725 |
+
"tier3": {
|
| 726 |
+
"id": "619",
|
| 727 |
+
"label": "Internet"
|
| 728 |
+
}
|
| 729 |
+
},
|
| 730 |
+
"intent": {
|
| 731 |
+
"commercial_score": 0.0,
|
| 732 |
+
"component_confidence": {
|
| 733 |
+
"decision_phase": {
|
| 734 |
+
"calibrated": true,
|
| 735 |
+
"confidence": 0.9969,
|
| 736 |
+
"confidence_threshold": 0.22,
|
| 737 |
+
"label": "support",
|
| 738 |
+
"meets_threshold": true,
|
| 739 |
+
"raw_confidence": 0.9863
|
| 740 |
+
},
|
| 741 |
+
"intent_subtype": {
|
| 742 |
+
"calibrated": true,
|
| 743 |
+
"confidence": 0.923,
|
| 744 |
+
"confidence_threshold": 0.25,
|
| 745 |
+
"label": "account_help",
|
| 746 |
+
"meets_threshold": true,
|
| 747 |
+
"raw_confidence": 0.923
|
| 748 |
+
},
|
| 749 |
+
"intent_type": {
|
| 750 |
+
"calibrated": true,
|
| 751 |
+
"confidence": 0.9988,
|
| 752 |
+
"confidence_threshold": 0.4,
|
| 753 |
+
"label": "support",
|
| 754 |
+
"meets_threshold": true,
|
| 755 |
+
"raw_confidence": 0.9811
|
| 756 |
+
},
|
| 757 |
+
"overall_strategy": "min_required_component_confidence"
|
| 758 |
+
},
|
| 759 |
+
"confidence": 0.923,
|
| 760 |
+
"decision_phase": "support",
|
| 761 |
+
"subtype": "account_help",
|
| 762 |
+
"summary": "Classified as support intent with subtype account_help in the support phase.",
|
| 763 |
+
"type": "support"
|
| 764 |
+
}
|
| 765 |
+
},
|
| 766 |
+
"fallback": {
|
| 767 |
+
"applied": true,
|
| 768 |
+
"failed_components": [],
|
| 769 |
+
"fallback_intent_type": "support",
|
| 770 |
+
"fallback_monetization_eligibility": "not_allowed",
|
| 771 |
+
"reason": "policy_default"
|
| 772 |
+
}
|
| 773 |
+
},
|
| 774 |
+
"system_decision": {
|
| 775 |
+
"intent_trajectory": [
|
| 776 |
+
"support"
|
| 777 |
+
],
|
| 778 |
+
"opportunity": {
|
| 779 |
+
"strength": "low",
|
| 780 |
+
"type": "none"
|
| 781 |
+
},
|
| 782 |
+
"policy": {
|
| 783 |
+
"applied_thresholds": {
|
| 784 |
+
"commercial_score_min": 0.6,
|
| 785 |
+
"decision_phase_confidence_min": 0.22,
|
| 786 |
+
"intent_subtype_confidence_min": 0.25,
|
| 787 |
+
"intent_type_confidence_min": 0.4
|
| 788 |
+
},
|
| 789 |
+
"decision_basis": "fallback_policy_default",
|
| 790 |
+
"eligibility_reason": "policy_default",
|
| 791 |
+
"monetization_eligibility": "not_allowed",
|
| 792 |
+
"regulated_vertical": false,
|
| 793 |
+
"sensitivity": "high"
|
| 794 |
+
}
|
| 795 |
+
}
|
| 796 |
+
}
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"expected_behavior": "Should trigger a sensitive fallback path and block monetization.",
|
| 800 |
+
"input": "I feel depressed and need help",
|
| 801 |
+
"response": {
|
| 802 |
+
"meta": {
|
| 803 |
+
"calibration_enabled": true,
|
| 804 |
+
"system_version": "0.6.0-phase4"
|
| 805 |
+
},
|
| 806 |
+
"model_output": {
|
| 807 |
+
"classification": {
|
| 808 |
+
"iab_content": {
|
| 809 |
+
"mapping_confidence": 0.7854,
|
| 810 |
+
"mapping_mode": "nearest_equivalent",
|
| 811 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 812 |
+
"taxonomy_version": "3.0",
|
| 813 |
+
"tier1": {
|
| 814 |
+
"id": "286",
|
| 815 |
+
"label": "Medical Health"
|
| 816 |
+
},
|
| 817 |
+
"tier2": {
|
| 818 |
+
"id": "287",
|
| 819 |
+
"label": "Diseases and Conditions"
|
| 820 |
+
}
|
| 821 |
+
},
|
| 822 |
+
"intent": {
|
| 823 |
+
"commercial_score": 0.035,
|
| 824 |
+
"component_confidence": {
|
| 825 |
+
"decision_phase": {
|
| 826 |
+
"calibrated": true,
|
| 827 |
+
"confidence": 0.9699,
|
| 828 |
+
"confidence_threshold": 0.22,
|
| 829 |
+
"label": "awareness",
|
| 830 |
+
"meets_threshold": true,
|
| 831 |
+
"raw_confidence": 0.9258
|
| 832 |
+
},
|
| 833 |
+
"intent_subtype": {
|
| 834 |
+
"calibrated": true,
|
| 835 |
+
"confidence": 0.9435,
|
| 836 |
+
"confidence_threshold": 0.25,
|
| 837 |
+
"label": "emotional_reflection",
|
| 838 |
+
"meets_threshold": true,
|
| 839 |
+
"raw_confidence": 0.9435
|
| 840 |
+
},
|
| 841 |
+
"intent_type": {
|
| 842 |
+
"calibrated": true,
|
| 843 |
+
"confidence": 0.9916,
|
| 844 |
+
"confidence_threshold": 0.4,
|
| 845 |
+
"label": "personal_reflection",
|
| 846 |
+
"meets_threshold": true,
|
| 847 |
+
"raw_confidence": 0.9406
|
| 848 |
+
},
|
| 849 |
+
"overall_strategy": "min_required_component_confidence"
|
| 850 |
+
},
|
| 851 |
+
"confidence": 0.9435,
|
| 852 |
+
"decision_phase": "awareness",
|
| 853 |
+
"subtype": "emotional_reflection",
|
| 854 |
+
"summary": "Classified as personal_reflection intent with subtype emotional_reflection in the awareness phase.",
|
| 855 |
+
"type": "personal_reflection"
|
| 856 |
+
}
|
| 857 |
+
},
|
| 858 |
+
"fallback": {
|
| 859 |
+
"applied": true,
|
| 860 |
+
"failed_components": [],
|
| 861 |
+
"fallback_intent_type": "personal_reflection",
|
| 862 |
+
"fallback_monetization_eligibility": "not_allowed",
|
| 863 |
+
"reason": "policy_default"
|
| 864 |
+
}
|
| 865 |
+
},
|
| 866 |
+
"system_decision": {
|
| 867 |
+
"intent_trajectory": [
|
| 868 |
+
"awareness"
|
| 869 |
+
],
|
| 870 |
+
"opportunity": {
|
| 871 |
+
"strength": "low",
|
| 872 |
+
"type": "none"
|
| 873 |
+
},
|
| 874 |
+
"policy": {
|
| 875 |
+
"applied_thresholds": {
|
| 876 |
+
"commercial_score_min": 0.6,
|
| 877 |
+
"decision_phase_confidence_min": 0.22,
|
| 878 |
+
"intent_subtype_confidence_min": 0.25,
|
| 879 |
+
"intent_type_confidence_min": 0.4
|
| 880 |
+
},
|
| 881 |
+
"decision_basis": "fallback_policy_default",
|
| 882 |
+
"eligibility_reason": "policy_default",
|
| 883 |
+
"monetization_eligibility": "not_allowed",
|
| 884 |
+
"regulated_vertical": false,
|
| 885 |
+
"sensitivity": "high"
|
| 886 |
+
}
|
| 887 |
+
}
|
| 888 |
+
}
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"expected_behavior": "Should be treated as ambiguous and fall back safely.",
|
| 892 |
+
"input": "Tell me more",
|
| 893 |
+
"response": {
|
| 894 |
+
"meta": {
|
| 895 |
+
"calibration_enabled": true,
|
| 896 |
+
"system_version": "0.6.0-phase4"
|
| 897 |
+
},
|
| 898 |
+
"model_output": {
|
| 899 |
+
"classification": {
|
| 900 |
+
"iab_content": {
|
| 901 |
+
"mapping_confidence": 0.7304,
|
| 902 |
+
"mapping_mode": "nearest_equivalent",
|
| 903 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 904 |
+
"taxonomy_version": "3.0",
|
| 905 |
+
"tier1": {
|
| 906 |
+
"id": "SPSHQ5",
|
| 907 |
+
"label": "Genres"
|
| 908 |
+
}
|
| 909 |
+
},
|
| 910 |
+
"intent": {
|
| 911 |
+
"commercial_score": 0.165,
|
| 912 |
+
"component_confidence": {
|
| 913 |
+
"decision_phase": {
|
| 914 |
+
"calibrated": true,
|
| 915 |
+
"confidence": 0.9934,
|
| 916 |
+
"confidence_threshold": 0.22,
|
| 917 |
+
"label": "research",
|
| 918 |
+
"meets_threshold": true,
|
| 919 |
+
"raw_confidence": 0.9746
|
| 920 |
+
},
|
| 921 |
+
"intent_subtype": {
|
| 922 |
+
"calibrated": true,
|
| 923 |
+
"confidence": 0.9631,
|
| 924 |
+
"confidence_threshold": 0.25,
|
| 925 |
+
"label": "follow_up",
|
| 926 |
+
"meets_threshold": true,
|
| 927 |
+
"raw_confidence": 0.9631
|
| 928 |
+
},
|
| 929 |
+
"intent_type": {
|
| 930 |
+
"calibrated": true,
|
| 931 |
+
"confidence": 0.9934,
|
| 932 |
+
"confidence_threshold": 0.4,
|
| 933 |
+
"label": "ambiguous",
|
| 934 |
+
"meets_threshold": true,
|
| 935 |
+
"raw_confidence": 0.9405
|
| 936 |
+
},
|
| 937 |
+
"overall_strategy": "min_required_component_confidence"
|
| 938 |
+
},
|
| 939 |
+
"confidence": 0.9934,
|
| 940 |
+
"decision_phase": "research",
|
| 941 |
+
"subtype": "follow_up",
|
| 942 |
+
"summary": "Classified as ambiguous intent with subtype follow_up in the research phase.",
|
| 943 |
+
"type": "ambiguous"
|
| 944 |
+
}
|
| 945 |
+
},
|
| 946 |
+
"fallback": {
|
| 947 |
+
"applied": true,
|
| 948 |
+
"failed_components": [],
|
| 949 |
+
"fallback_intent_type": "ambiguous",
|
| 950 |
+
"fallback_monetization_eligibility": "not_allowed",
|
| 951 |
+
"reason": "ambiguous_query"
|
| 952 |
+
}
|
| 953 |
+
},
|
| 954 |
+
"system_decision": {
|
| 955 |
+
"intent_trajectory": [
|
| 956 |
+
"research"
|
| 957 |
+
],
|
| 958 |
+
"opportunity": {
|
| 959 |
+
"strength": "low",
|
| 960 |
+
"type": "none"
|
| 961 |
+
},
|
| 962 |
+
"policy": {
|
| 963 |
+
"applied_thresholds": {
|
| 964 |
+
"commercial_score_min": 0.6,
|
| 965 |
+
"decision_phase_confidence_min": 0.22,
|
| 966 |
+
"intent_subtype_confidence_min": 0.25,
|
| 967 |
+
"intent_type_confidence_min": 0.4
|
| 968 |
+
},
|
| 969 |
+
"decision_basis": "fallback_ambiguous_intent",
|
| 970 |
+
"eligibility_reason": "ambiguous_query",
|
| 971 |
+
"monetization_eligibility": "not_allowed",
|
| 972 |
+
"regulated_vertical": false,
|
| 973 |
+
"sensitivity": "medium"
|
| 974 |
+
}
|
| 975 |
+
}
|
| 976 |
+
}
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"expected_behavior": "Should currently fall back because the prompt is short and context-dependent.",
|
| 980 |
+
"input": "What about pricing",
|
| 981 |
+
"response": {
|
| 982 |
+
"meta": {
|
| 983 |
+
"calibration_enabled": true,
|
| 984 |
+
"system_version": "0.6.0-phase4"
|
| 985 |
+
},
|
| 986 |
+
"model_output": {
|
| 987 |
+
"classification": {
|
| 988 |
+
"iab_content": {
|
| 989 |
+
"mapping_confidence": 0.7779,
|
| 990 |
+
"mapping_mode": "nearest_equivalent",
|
| 991 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 992 |
+
"taxonomy_version": "3.0",
|
| 993 |
+
"tier1": {
|
| 994 |
+
"id": "52",
|
| 995 |
+
"label": "Business and Finance"
|
| 996 |
+
},
|
| 997 |
+
"tier2": {
|
| 998 |
+
"id": "53",
|
| 999 |
+
"label": "Business"
|
| 1000 |
+
}
|
| 1001 |
+
},
|
| 1002 |
+
"intent": {
|
| 1003 |
+
"commercial_score": 0.165,
|
| 1004 |
+
"component_confidence": {
|
| 1005 |
+
"decision_phase": {
|
| 1006 |
+
"calibrated": true,
|
| 1007 |
+
"confidence": 0.9888,
|
| 1008 |
+
"confidence_threshold": 0.22,
|
| 1009 |
+
"label": "research",
|
| 1010 |
+
"meets_threshold": true,
|
| 1011 |
+
"raw_confidence": 0.9639
|
| 1012 |
+
},
|
| 1013 |
+
"intent_subtype": {
|
| 1014 |
+
"calibrated": true,
|
| 1015 |
+
"confidence": 0.9487,
|
| 1016 |
+
"confidence_threshold": 0.25,
|
| 1017 |
+
"label": "follow_up",
|
| 1018 |
+
"meets_threshold": true,
|
| 1019 |
+
"raw_confidence": 0.9487
|
| 1020 |
+
},
|
| 1021 |
+
"intent_type": {
|
| 1022 |
+
"calibrated": true,
|
| 1023 |
+
"confidence": 0.9916,
|
| 1024 |
+
"confidence_threshold": 0.4,
|
| 1025 |
+
"label": "ambiguous",
|
| 1026 |
+
"meets_threshold": true,
|
| 1027 |
+
"raw_confidence": 0.9321
|
| 1028 |
+
},
|
| 1029 |
+
"overall_strategy": "min_required_component_confidence"
|
| 1030 |
+
},
|
| 1031 |
+
"confidence": 0.9888,
|
| 1032 |
+
"decision_phase": "research",
|
| 1033 |
+
"subtype": "follow_up",
|
| 1034 |
+
"summary": "Classified as ambiguous intent with subtype follow_up in the research phase.",
|
| 1035 |
+
"type": "ambiguous"
|
| 1036 |
+
}
|
| 1037 |
+
},
|
| 1038 |
+
"fallback": {
|
| 1039 |
+
"applied": true,
|
| 1040 |
+
"failed_components": [],
|
| 1041 |
+
"fallback_intent_type": "ambiguous",
|
| 1042 |
+
"fallback_monetization_eligibility": "not_allowed",
|
| 1043 |
+
"reason": "ambiguous_query"
|
| 1044 |
+
}
|
| 1045 |
+
},
|
| 1046 |
+
"system_decision": {
|
| 1047 |
+
"intent_trajectory": [
|
| 1048 |
+
"research"
|
| 1049 |
+
],
|
| 1050 |
+
"opportunity": {
|
| 1051 |
+
"strength": "low",
|
| 1052 |
+
"type": "none"
|
| 1053 |
+
},
|
| 1054 |
+
"policy": {
|
| 1055 |
+
"applied_thresholds": {
|
| 1056 |
+
"commercial_score_min": 0.6,
|
| 1057 |
+
"decision_phase_confidence_min": 0.22,
|
| 1058 |
+
"intent_subtype_confidence_min": 0.25,
|
| 1059 |
+
"intent_type_confidence_min": 0.4
|
| 1060 |
+
},
|
| 1061 |
+
"decision_basis": "fallback_ambiguous_intent",
|
| 1062 |
+
"eligibility_reason": "ambiguous_query",
|
| 1063 |
+
"monetization_eligibility": "not_allowed",
|
| 1064 |
+
"regulated_vertical": false,
|
| 1065 |
+
"sensitivity": "medium"
|
| 1066 |
+
}
|
| 1067 |
+
}
|
| 1068 |
+
}
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"expected_behavior": "Should preserve transactional intent even though the phase is still noisy and fallback remains active.",
|
| 1072 |
+
"input": "Sign me up for the newsletter",
|
| 1073 |
+
"response": {
|
| 1074 |
+
"meta": {
|
| 1075 |
+
"calibration_enabled": true,
|
| 1076 |
+
"system_version": "0.6.0-phase4"
|
| 1077 |
+
},
|
| 1078 |
+
"model_output": {
|
| 1079 |
+
"classification": {
|
| 1080 |
+
"iab_content": {
|
| 1081 |
+
"mapping_confidence": 0.7753,
|
| 1082 |
+
"mapping_mode": "nearest_equivalent",
|
| 1083 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 1084 |
+
"taxonomy_version": "3.0",
|
| 1085 |
+
"tier1": {
|
| 1086 |
+
"id": "596",
|
| 1087 |
+
"label": "Technology & Computing"
|
| 1088 |
+
},
|
| 1089 |
+
"tier2": {
|
| 1090 |
+
"id": "599",
|
| 1091 |
+
"label": "Computing"
|
| 1092 |
+
},
|
| 1093 |
+
"tier3": {
|
| 1094 |
+
"id": "619",
|
| 1095 |
+
"label": "Internet"
|
| 1096 |
+
},
|
| 1097 |
+
"tier4": {
|
| 1098 |
+
"id": "623",
|
| 1099 |
+
"label": "Email"
|
| 1100 |
+
}
|
| 1101 |
+
},
|
| 1102 |
+
"intent": {
|
| 1103 |
+
"commercial_score": 0.954,
|
| 1104 |
+
"component_confidence": {
|
| 1105 |
+
"decision_phase": {
|
| 1106 |
+
"calibrated": true,
|
| 1107 |
+
"confidence": 0.9991,
|
| 1108 |
+
"confidence_threshold": 0.22,
|
| 1109 |
+
"label": "action",
|
| 1110 |
+
"meets_threshold": true,
|
| 1111 |
+
"raw_confidence": 0.9948
|
| 1112 |
+
},
|
| 1113 |
+
"intent_subtype": {
|
| 1114 |
+
"calibrated": true,
|
| 1115 |
+
"confidence": 0.8874,
|
| 1116 |
+
"confidence_threshold": 0.25,
|
| 1117 |
+
"label": "signup",
|
| 1118 |
+
"meets_threshold": true,
|
| 1119 |
+
"raw_confidence": 0.8874
|
| 1120 |
+
},
|
| 1121 |
+
"intent_type": {
|
| 1122 |
+
"calibrated": true,
|
| 1123 |
+
"confidence": 0.9996,
|
| 1124 |
+
"confidence_threshold": 0.4,
|
| 1125 |
+
"label": "transactional",
|
| 1126 |
+
"meets_threshold": true,
|
| 1127 |
+
"raw_confidence": 0.9908
|
| 1128 |
+
},
|
| 1129 |
+
"overall_strategy": "min_required_component_confidence"
|
| 1130 |
+
},
|
| 1131 |
+
"confidence": 0.8874,
|
| 1132 |
+
"decision_phase": "action",
|
| 1133 |
+
"subtype": "signup",
|
| 1134 |
+
"summary": "Classified as transactional intent with subtype signup in the action phase.",
|
| 1135 |
+
"type": "transactional"
|
| 1136 |
+
}
|
| 1137 |
+
},
|
| 1138 |
+
"fallback": null
|
| 1139 |
+
},
|
| 1140 |
+
"system_decision": {
|
| 1141 |
+
"intent_trajectory": [
|
| 1142 |
+
"action"
|
| 1143 |
+
],
|
| 1144 |
+
"opportunity": {
|
| 1145 |
+
"strength": "high",
|
| 1146 |
+
"type": "transaction_trigger"
|
| 1147 |
+
},
|
| 1148 |
+
"policy": {
|
| 1149 |
+
"applied_thresholds": {
|
| 1150 |
+
"commercial_score_min": 0.6,
|
| 1151 |
+
"decision_phase_confidence_min": 0.22,
|
| 1152 |
+
"intent_subtype_confidence_min": 0.25,
|
| 1153 |
+
"intent_type_confidence_min": 0.4
|
| 1154 |
+
},
|
| 1155 |
+
"decision_basis": "score_threshold",
|
| 1156 |
+
"eligibility_reason": "high_intent_subtype_signal",
|
| 1157 |
+
"monetization_eligibility": "allowed",
|
| 1158 |
+
"regulated_vertical": false,
|
| 1159 |
+
"sensitivity": "low"
|
| 1160 |
+
}
|
| 1161 |
+
}
|
| 1162 |
+
}
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"expected_behavior": "Should behave like a commercial comparison in the middle of the buying journey and still fail safe if confidence is low.",
|
| 1166 |
+
"input": "Compare AI search monetization platforms for publishers",
|
| 1167 |
+
"response": {
|
| 1168 |
+
"meta": {
|
| 1169 |
+
"calibration_enabled": true,
|
| 1170 |
+
"system_version": "0.6.0-phase4"
|
| 1171 |
+
},
|
| 1172 |
+
"model_output": {
|
| 1173 |
+
"classification": {
|
| 1174 |
+
"iab_content": {
|
| 1175 |
+
"mapping_confidence": 0.8626,
|
| 1176 |
+
"mapping_mode": "nearest_equivalent",
|
| 1177 |
+
"taxonomy": "IAB Content Taxonomy",
|
| 1178 |
+
"taxonomy_version": "3.0",
|
| 1179 |
+
"tier1": {
|
| 1180 |
+
"id": "596",
|
| 1181 |
+
"label": "Technology & Computing"
|
| 1182 |
+
},
|
| 1183 |
+
"tier2": {
|
| 1184 |
+
"id": "599",
|
| 1185 |
+
"label": "Computing"
|
| 1186 |
+
},
|
| 1187 |
+
"tier3": {
|
| 1188 |
+
"id": "619",
|
| 1189 |
+
"label": "Internet"
|
| 1190 |
+
},
|
| 1191 |
+
"tier4": {
|
| 1192 |
+
"id": "627",
|
| 1193 |
+
"label": "Search"
|
| 1194 |
+
}
|
| 1195 |
+
},
|
| 1196 |
+
"intent": {
|
| 1197 |
+
"commercial_score": 0.728,
|
| 1198 |
+
"component_confidence": {
|
| 1199 |
+
"decision_phase": {
|
| 1200 |
+
"calibrated": true,
|
| 1201 |
+
"confidence": 0.9966,
|
| 1202 |
+
"confidence_threshold": 0.22,
|
| 1203 |
+
"label": "consideration",
|
| 1204 |
+
"meets_threshold": true,
|
| 1205 |
+
"raw_confidence": 0.9852
|
| 1206 |
+
},
|
| 1207 |
+
"intent_subtype": {
|
| 1208 |
+
"calibrated": true,
|
| 1209 |
+
"confidence": 0.9415,
|
| 1210 |
+
"confidence_threshold": 0.25,
|
| 1211 |
+
"label": "comparison",
|
| 1212 |
+
"meets_threshold": true,
|
| 1213 |
+
"raw_confidence": 0.9415
|
| 1214 |
+
},
|
| 1215 |
+
"intent_type": {
|
| 1216 |
+
"calibrated": true,
|
| 1217 |
+
"confidence": 0.9994,
|
| 1218 |
+
"confidence_threshold": 0.4,
|
| 1219 |
+
"label": "commercial",
|
| 1220 |
+
"meets_threshold": true,
|
| 1221 |
+
"raw_confidence": 0.9884
|
| 1222 |
+
},
|
| 1223 |
+
"overall_strategy": "min_required_component_confidence"
|
| 1224 |
+
},
|
| 1225 |
+
"confidence": 0.9415,
|
| 1226 |
+
"decision_phase": "consideration",
|
| 1227 |
+
"subtype": "comparison",
|
| 1228 |
+
"summary": "Classified as commercial intent with subtype comparison in the consideration phase.",
|
| 1229 |
+
"type": "commercial"
|
| 1230 |
+
}
|
| 1231 |
+
},
|
| 1232 |
+
"fallback": null
|
| 1233 |
+
},
|
| 1234 |
+
"system_decision": {
|
| 1235 |
+
"intent_trajectory": [
|
| 1236 |
+
"consideration"
|
| 1237 |
+
],
|
| 1238 |
+
"opportunity": {
|
| 1239 |
+
"strength": "high",
|
| 1240 |
+
"type": "comparison_slot"
|
| 1241 |
+
},
|
| 1242 |
+
"policy": {
|
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| 1257 |
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| 1258 |
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{
|
| 1259 |
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"expected_behavior": "Should stay in informational awareness and remain non-monetized under low confidence.",
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| 1260 |
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"input": "Why do businesses use CRM systems?",
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| 1261 |
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| 1262 |
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| 1274 |
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"id": "596",
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| 1275 |
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"label": "Technology & Computing"
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| 1278 |
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"id": "599",
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| 1282 |
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"id": "619",
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| 1283 |
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| 1286 |
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"id": "620",
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| 1287 |
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"label": "Cloud Computing"
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| 1288 |
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},
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| 1290 |
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| 1315 |
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| 1316 |
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},
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| 1318 |
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},
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"confidence": 0.9939,
|
| 1320 |
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"decision_phase": "awareness",
|
| 1321 |
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"subtype": "education",
|
| 1322 |
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"summary": "Classified as informational intent with subtype education in the awareness phase.",
|
| 1323 |
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"type": "informational"
|
| 1324 |
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}
|
| 1325 |
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},
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| 1326 |
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"fallback": null
|
| 1327 |
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},
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| 1328 |
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"system_decision": {
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| 1329 |
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"intent_trajectory": [
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| 1330 |
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"awareness"
|
| 1331 |
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],
|
| 1332 |
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"opportunity": {
|
| 1333 |
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"strength": "low",
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| 1334 |
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"type": "none"
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| 1335 |
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| 1336 |
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| 1337 |
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| 1341 |
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| 1342 |
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},
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"decision_basis": "score_threshold",
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| 1344 |
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"eligibility_reason": "commercial_signal_below_threshold",
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| 1345 |
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"monetization_eligibility": "restricted",
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| 1346 |
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"regulated_vertical": false,
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| 1347 |
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"sensitivity": "low"
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| 1348 |
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}
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| 1349 |
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}
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| 1350 |
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}
|
| 1351 |
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}
|
| 1352 |
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]
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artifacts/evaluation/latest/decision_phase_difficulty_benchmark_confusion_matrix.csv
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artifacts/evaluation/latest/decision_phase_difficulty_benchmark_report.json
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| 53 |
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"decision": {
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| 60 |
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| 61 |
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|
| 62 |
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},
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| 63 |
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| 64 |
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| 68 |
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},
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| 69 |
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"post_purchase": {
|
| 70 |
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| 71 |
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| 72 |
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| 74 |
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},
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"research": {
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 83 |
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| 85 |
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| 86 |
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},
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| 87 |
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| 89 |
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},
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"suite": "difficulty_benchmark"
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| 95 |
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}
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artifacts/evaluation/latest/decision_phase_final_wave_cases_confusion_matrix.csv
ADDED
|
@@ -0,0 +1,8 @@
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artifacts/evaluation/latest/decision_phase_final_wave_cases_report.json
ADDED
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@@ -0,0 +1,69 @@
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{
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| 69 |
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artifacts/evaluation/latest/decision_phase_hard_cases_confusion_matrix.csv
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
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|
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|
artifacts/evaluation/latest/decision_phase_val_confusion_matrix.csv
ADDED
|
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ADDED
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|
| 1 |
+
{
|
| 2 |
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"accepted_accuracy": 0.8966,
|
| 3 |
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"accepted_coverage": 1.0,
|
| 4 |
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"accuracy": 0.8966,
|
| 5 |
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"confusion_matrix_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/artifacts/evaluation/latest/decision_phase_val_confusion_matrix.csv",
|
| 6 |
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"count": 29,
|
| 7 |
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"dataset_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/decision_phase/val.jsonl",
|
| 8 |
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"fallback_rate": 0.0,
|
| 9 |
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"head": "decision_phase",
|
| 10 |
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"macro_f1": 0.8975,
|
| 11 |
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"per_class_metrics": {
|
| 12 |
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"accuracy": 0.896551724137931,
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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},
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| 19 |
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"awareness": {
|
| 20 |
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"f1-score": 0.9090909090909091,
|
| 21 |
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"precision": 0.8333333333333334,
|
| 22 |
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"recall": 1.0,
|
| 23 |
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"support": 5.0
|
| 24 |
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},
|
| 25 |
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"consideration": {
|
| 26 |
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"f1-score": 0.9090909090909091,
|
| 27 |
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"precision": 0.8333333333333334,
|
| 28 |
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"recall": 1.0,
|
| 29 |
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"support": 5.0
|
| 30 |
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},
|
| 31 |
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"decision": {
|
| 32 |
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"f1-score": 0.8571428571428571,
|
| 33 |
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"precision": 1.0,
|
| 34 |
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"recall": 0.75,
|
| 35 |
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"support": 4.0
|
| 36 |
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},
|
| 37 |
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"macro avg": {
|
| 38 |
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"f1-score": 0.8974953617810761,
|
| 39 |
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"precision": 0.9166666666666667,
|
| 40 |
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|
| 41 |
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|
| 42 |
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},
|
| 43 |
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"post_purchase": {
|
| 44 |
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"f1-score": 0.8571428571428571,
|
| 45 |
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"precision": 1.0,
|
| 46 |
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"recall": 0.75,
|
| 47 |
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"support": 4.0
|
| 48 |
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},
|
| 49 |
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"research": {
|
| 50 |
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"f1-score": 0.75,
|
| 51 |
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"precision": 0.75,
|
| 52 |
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"recall": 0.75,
|
| 53 |
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"support": 4.0
|
| 54 |
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},
|
| 55 |
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"support": {
|
| 56 |
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"f1-score": 1.0,
|
| 57 |
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"precision": 1.0,
|
| 58 |
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"recall": 1.0,
|
| 59 |
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"support": 4.0
|
| 60 |
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},
|
| 61 |
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"weighted avg": {
|
| 62 |
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"f1-score": 0.8947604120017911,
|
| 63 |
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"precision": 0.9080459770114944,
|
| 64 |
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"recall": 0.896551724137931,
|
| 65 |
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"support": 29.0
|
| 66 |
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}
|
| 67 |
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},
|
| 68 |
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"suite": "val"
|
| 69 |
+
}
|
artifacts/evaluation/latest/iab_behavior_lock_regression.json
ADDED
|
@@ -0,0 +1,245 @@
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|
| 1 |
+
{
|
| 2 |
+
"by_status": {
|
| 3 |
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"must_fix": {
|
| 4 |
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"failed": 0,
|
| 5 |
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"passed": 12,
|
| 6 |
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"total": 12
|
| 7 |
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}
|
| 8 |
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},
|
| 9 |
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"cases_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/iab_behavior_lock_cases.json",
|
| 10 |
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"count": 12,
|
| 11 |
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"failed": 0,
|
| 12 |
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"passed": 12,
|
| 13 |
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"results": [
|
| 14 |
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{
|
| 15 |
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"actual": {
|
| 16 |
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|
| 17 |
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"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 18 |
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"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 19 |
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},
|
| 20 |
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"expected": {
|
| 21 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 22 |
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"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 23 |
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"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 24 |
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},
|
| 25 |
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"id": "car-buying-maps-to-automotive-buying",
|
| 26 |
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"mismatches": [],
|
| 27 |
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"notes": "Vehicle shopping queries should map into the automotive buying branch, not business sales.",
|
| 28 |
+
"pass": true,
|
| 29 |
+
"status": "must_fix",
|
| 30 |
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"text": "Which car to buy in 2026"
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"actual": {
|
| 34 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 35 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 36 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 37 |
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"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 38 |
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},
|
| 39 |
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"expected": {
|
| 40 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 41 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 42 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 43 |
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"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 44 |
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},
|
| 45 |
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"id": "laptop-buying-maps-to-laptops",
|
| 46 |
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"mismatches": [],
|
| 47 |
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"notes": "Laptop shopping should resolve into the laptops branch, not business sales.",
|
| 48 |
+
"pass": true,
|
| 49 |
+
"status": "must_fix",
|
| 50 |
+
"text": "Which laptop to buy in 2026"
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"actual": {
|
| 54 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 55 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 56 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 57 |
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"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 58 |
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},
|
| 59 |
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"expected": {
|
| 60 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 61 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 62 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 63 |
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"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 64 |
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},
|
| 65 |
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"id": "labtop-buying-maps-to-laptops",
|
| 66 |
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"mismatches": [],
|
| 67 |
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"notes": "Common typo handling should still land in the laptops branch.",
|
| 68 |
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"pass": true,
|
| 69 |
+
"status": "must_fix",
|
| 70 |
+
"text": "Which labtop to buy in 2026"
|
| 71 |
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},
|
| 72 |
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{
|
| 73 |
+
"actual": {
|
| 74 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 75 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 76 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 77 |
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"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 78 |
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},
|
| 79 |
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"expected": {
|
| 80 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 81 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 82 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 83 |
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"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 84 |
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},
|
| 85 |
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"id": "crm-awareness-maps-to-sales",
|
| 86 |
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"mismatches": [],
|
| 87 |
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"notes": "CRM education should resolve to the closest business/sales path, not generic software.",
|
| 88 |
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"pass": true,
|
| 89 |
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"status": "must_fix",
|
| 90 |
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"text": "What is CRM software?"
|
| 91 |
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},
|
| 92 |
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{
|
| 93 |
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"actual": {
|
| 94 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 95 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 96 |
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|
| 97 |
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"model_output.classification.iab_content.tier3.label": "Internet"
|
| 98 |
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},
|
| 99 |
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"expected": {
|
| 100 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 101 |
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"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 102 |
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"model_output.classification.iab_content.tier2.label": "Computing",
|
| 103 |
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"model_output.classification.iab_content.tier3.label": "Internet"
|
| 104 |
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},
|
| 105 |
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"id": "crm-comparison-maps-to-sales",
|
| 106 |
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"mismatches": [],
|
| 107 |
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"notes": "Direct CRM vendor comparison should map cleanly into the sales domain.",
|
| 108 |
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"pass": true,
|
| 109 |
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"status": "must_fix",
|
| 110 |
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"text": "HubSpot vs Zoho for a small team"
|
| 111 |
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},
|
| 112 |
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{
|
| 113 |
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"actual": {
|
| 114 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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},
|
| 119 |
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"expected": {
|
| 120 |
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"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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},
|
| 125 |
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"id": "marketing-tools-map-to-marketing",
|
| 126 |
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|
| 127 |
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"notes": "Marketing tool discovery should map to the marketing and advertising branch.",
|
| 128 |
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"pass": true,
|
| 129 |
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"status": "must_fix",
|
| 130 |
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"text": "Best AI SEO tools for content teams"
|
| 131 |
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},
|
| 132 |
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{
|
| 133 |
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"actual": {
|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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},
|
| 141 |
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"id": "ml-explanation-maps-to-ai",
|
| 142 |
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|
| 143 |
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|
| 144 |
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"pass": true,
|
| 145 |
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"status": "must_fix",
|
| 146 |
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"text": "What is intent classification in NLP?"
|
| 147 |
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},
|
| 148 |
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|
| 149 |
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"actual": {
|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
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|
| 159 |
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|
| 160 |
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|
| 161 |
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"id": "support-credential-help-maps-to-business-it",
|
| 162 |
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|
| 163 |
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"notes": "Credential and account help should map to business IT rather than generic business.",
|
| 164 |
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"pass": true,
|
| 165 |
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"status": "must_fix",
|
| 166 |
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"text": "How do I reset my password?"
|
| 167 |
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|
| 168 |
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{
|
| 169 |
+
"actual": {
|
| 170 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 171 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 172 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 173 |
+
},
|
| 174 |
+
"expected": {
|
| 175 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 176 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 177 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 178 |
+
},
|
| 179 |
+
"id": "restaurant-booking-maps-to-dining-out",
|
| 180 |
+
"mismatches": [],
|
| 181 |
+
"notes": "Generic dining requests should not inherit the repo's business default.",
|
| 182 |
+
"pass": true,
|
| 183 |
+
"status": "must_fix",
|
| 184 |
+
"text": "Book a table for 2 tonight"
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"actual": {
|
| 188 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 189 |
+
"model_output.classification.iab_content.tier1.label": "Hobbies & Interests",
|
| 190 |
+
"model_output.classification.iab_content.tier2.label": "Content Production",
|
| 191 |
+
"model_output.classification.iab_content.tier3.label": "Freelance Writing"
|
| 192 |
+
},
|
| 193 |
+
"expected": {
|
| 194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 195 |
+
"model_output.classification.iab_content.tier1.label": "Hobbies & Interests",
|
| 196 |
+
"model_output.classification.iab_content.tier2.label": "Content Production",
|
| 197 |
+
"model_output.classification.iab_content.tier3.label": "Freelance Writing"
|
| 198 |
+
},
|
| 199 |
+
"id": "trial-signup-maps-to-software",
|
| 200 |
+
"mismatches": [],
|
| 201 |
+
"notes": "Software action queries should map to the software/application branch.",
|
| 202 |
+
"pass": true,
|
| 203 |
+
"status": "must_fix",
|
| 204 |
+
"text": "Start my free trial"
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"actual": {
|
| 208 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 209 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 210 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 211 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 212 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 213 |
+
},
|
| 214 |
+
"expected": {
|
| 215 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 216 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 217 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 218 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 219 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 220 |
+
},
|
| 221 |
+
"id": "communication-software-maps-to-tier4",
|
| 222 |
+
"mismatches": [],
|
| 223 |
+
"notes": "Full taxonomy support should preserve the tier4 communication branch.",
|
| 224 |
+
"pass": true,
|
| 225 |
+
"status": "must_fix",
|
| 226 |
+
"text": "best communication software for remote teams"
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"actual": {
|
| 230 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 231 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 232 |
+
},
|
| 233 |
+
"expected": {
|
| 234 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 235 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 236 |
+
},
|
| 237 |
+
"id": "vodka-query-maps-to-alcoholic-beverages",
|
| 238 |
+
"mismatches": [],
|
| 239 |
+
"notes": "Food and beverage prompts should not fall through to the business default.",
|
| 240 |
+
"pass": true,
|
| 241 |
+
"status": "must_fix",
|
| 242 |
+
"text": "what is best vodka drink should i try"
|
| 243 |
+
}
|
| 244 |
+
]
|
| 245 |
+
}
|
artifacts/evaluation/latest/iab_content_cross_vertical_benchmark_report.json
ADDED
|
@@ -0,0 +1,93 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"accepted_accuracy": 0.3444,
|
| 3 |
+
"accepted_coverage": 1.0,
|
| 4 |
+
"accuracy": 0.3444,
|
| 5 |
+
"count": 90,
|
| 6 |
+
"dataset_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/iab_cross_vertical_benchmark.jsonl",
|
| 7 |
+
"difficulty_breakdown": {
|
| 8 |
+
"easy": {
|
| 9 |
+
"accepted_accuracy": 0.2667,
|
| 10 |
+
"accepted_coverage": 1.0,
|
| 11 |
+
"accuracy": 0.2667,
|
| 12 |
+
"count": 30,
|
| 13 |
+
"fallback_rate": 0.0,
|
| 14 |
+
"macro_f1": 0.1633
|
| 15 |
+
},
|
| 16 |
+
"hard": {
|
| 17 |
+
"accepted_accuracy": 0.3667,
|
| 18 |
+
"accepted_coverage": 1.0,
|
| 19 |
+
"accuracy": 0.3667,
|
| 20 |
+
"count": 30,
|
| 21 |
+
"fallback_rate": 0.0,
|
| 22 |
+
"macro_f1": 0.2174
|
| 23 |
+
},
|
| 24 |
+
"medium": {
|
| 25 |
+
"accepted_accuracy": 0.4,
|
| 26 |
+
"accepted_coverage": 1.0,
|
| 27 |
+
"accuracy": 0.4,
|
| 28 |
+
"count": 30,
|
| 29 |
+
"fallback_rate": 0.0,
|
| 30 |
+
"macro_f1": 0.2667
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"fallback_rate": 0.0,
|
| 34 |
+
"head": "iab_content",
|
| 35 |
+
"macro_f1": 0.1808,
|
| 36 |
+
"primary_source": "embedding_retrieval",
|
| 37 |
+
"suite": "cross_vertical_benchmark",
|
| 38 |
+
"tier_metrics": {
|
| 39 |
+
"average_prediction_depth": 2.5333,
|
| 40 |
+
"error_buckets": {
|
| 41 |
+
"exact_match": 31,
|
| 42 |
+
"parent_safe_stop": 5,
|
| 43 |
+
"right_tier1_wrong_tier2": 19,
|
| 44 |
+
"wrong_deep_leaf": 13,
|
| 45 |
+
"wrong_tier1": 22
|
| 46 |
+
},
|
| 47 |
+
"exact_path_accuracy": 0.3444,
|
| 48 |
+
"parent_safe_accuracy": 0.4889,
|
| 49 |
+
"tier1_accuracy": 0.7556,
|
| 50 |
+
"tier2_accuracy": 0.5238,
|
| 51 |
+
"tier3_accuracy": 0.4762,
|
| 52 |
+
"tier4_accuracy": 1.0
|
| 53 |
+
},
|
| 54 |
+
"view_metrics": {
|
| 55 |
+
"combined_path": {
|
| 56 |
+
"average_prediction_depth": 2.5333,
|
| 57 |
+
"error_buckets": {
|
| 58 |
+
"exact_match": 27,
|
| 59 |
+
"parent_safe_stop": 5,
|
| 60 |
+
"right_tier1_wrong_tier2": 19,
|
| 61 |
+
"wrong_deep_leaf": 17,
|
| 62 |
+
"wrong_tier1": 22
|
| 63 |
+
},
|
| 64 |
+
"exact_path_accuracy": 0.3,
|
| 65 |
+
"fallback_overuse_count": 12,
|
| 66 |
+
"fallback_rate": 0.1333,
|
| 67 |
+
"parent_safe_accuracy": 0.4444,
|
| 68 |
+
"tier1_accuracy": 0.7556,
|
| 69 |
+
"tier2_accuracy": 0.5238,
|
| 70 |
+
"tier3_accuracy": 0.381,
|
| 71 |
+
"tier4_accuracy": 0.5
|
| 72 |
+
},
|
| 73 |
+
"disagreements": {
|
| 74 |
+
"retrieval_vs_combined": 0
|
| 75 |
+
},
|
| 76 |
+
"embedding_retrieval": {
|
| 77 |
+
"average_prediction_depth": 2.5333,
|
| 78 |
+
"error_buckets": {
|
| 79 |
+
"exact_match": 27,
|
| 80 |
+
"parent_safe_stop": 5,
|
| 81 |
+
"right_tier1_wrong_tier2": 19,
|
| 82 |
+
"wrong_deep_leaf": 17,
|
| 83 |
+
"wrong_tier1": 22
|
| 84 |
+
},
|
| 85 |
+
"exact_path_accuracy": 0.3,
|
| 86 |
+
"parent_safe_accuracy": 0.4444,
|
| 87 |
+
"tier1_accuracy": 0.7556,
|
| 88 |
+
"tier2_accuracy": 0.5238,
|
| 89 |
+
"tier3_accuracy": 0.381,
|
| 90 |
+
"tier4_accuracy": 0.5
|
| 91 |
+
}
|
| 92 |
+
}
|
| 93 |
+
}
|
artifacts/evaluation/latest/iab_content_difficulty_benchmark_report.json
ADDED
|
@@ -0,0 +1,93 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"accepted_accuracy": 0.3782,
|
| 3 |
+
"accepted_coverage": 1.0,
|
| 4 |
+
"accuracy": 0.3782,
|
| 5 |
+
"count": 156,
|
| 6 |
+
"dataset_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/iab_benchmark.jsonl",
|
| 7 |
+
"difficulty_breakdown": {
|
| 8 |
+
"easy": {
|
| 9 |
+
"accepted_accuracy": 0.4038,
|
| 10 |
+
"accepted_coverage": 1.0,
|
| 11 |
+
"accuracy": 0.4038,
|
| 12 |
+
"count": 52,
|
| 13 |
+
"fallback_rate": 0.0,
|
| 14 |
+
"macro_f1": 0.2171
|
| 15 |
+
},
|
| 16 |
+
"hard": {
|
| 17 |
+
"accepted_accuracy": 0.3077,
|
| 18 |
+
"accepted_coverage": 1.0,
|
| 19 |
+
"accuracy": 0.3077,
|
| 20 |
+
"count": 52,
|
| 21 |
+
"fallback_rate": 0.0,
|
| 22 |
+
"macro_f1": 0.1626
|
| 23 |
+
},
|
| 24 |
+
"medium": {
|
| 25 |
+
"accepted_accuracy": 0.4231,
|
| 26 |
+
"accepted_coverage": 1.0,
|
| 27 |
+
"accuracy": 0.4231,
|
| 28 |
+
"count": 52,
|
| 29 |
+
"fallback_rate": 0.0,
|
| 30 |
+
"macro_f1": 0.2265
|
| 31 |
+
}
|
| 32 |
+
},
|
| 33 |
+
"fallback_rate": 0.0,
|
| 34 |
+
"head": "iab_content",
|
| 35 |
+
"macro_f1": 0.1593,
|
| 36 |
+
"primary_source": "embedding_retrieval",
|
| 37 |
+
"suite": "difficulty_benchmark",
|
| 38 |
+
"tier_metrics": {
|
| 39 |
+
"average_prediction_depth": 2.5833,
|
| 40 |
+
"error_buckets": {
|
| 41 |
+
"exact_match": 59,
|
| 42 |
+
"parent_safe_stop": 17,
|
| 43 |
+
"right_tier1_wrong_tier2": 42,
|
| 44 |
+
"wrong_deep_leaf": 13,
|
| 45 |
+
"wrong_tier1": 25
|
| 46 |
+
},
|
| 47 |
+
"exact_path_accuracy": 0.3782,
|
| 48 |
+
"parent_safe_accuracy": 0.6154,
|
| 49 |
+
"tier1_accuracy": 0.8397,
|
| 50 |
+
"tier2_accuracy": 0.5705,
|
| 51 |
+
"tier3_accuracy": 0.5648,
|
| 52 |
+
"tier4_accuracy": 0.5833
|
| 53 |
+
},
|
| 54 |
+
"view_metrics": {
|
| 55 |
+
"combined_path": {
|
| 56 |
+
"average_prediction_depth": 2.5833,
|
| 57 |
+
"error_buckets": {
|
| 58 |
+
"exact_match": 48,
|
| 59 |
+
"parent_safe_stop": 17,
|
| 60 |
+
"right_tier1_wrong_tier2": 42,
|
| 61 |
+
"wrong_deep_leaf": 24,
|
| 62 |
+
"wrong_tier1": 25
|
| 63 |
+
},
|
| 64 |
+
"exact_path_accuracy": 0.3077,
|
| 65 |
+
"fallback_overuse_count": 11,
|
| 66 |
+
"fallback_rate": 0.0705,
|
| 67 |
+
"parent_safe_accuracy": 0.5449,
|
| 68 |
+
"tier1_accuracy": 0.8397,
|
| 69 |
+
"tier2_accuracy": 0.5705,
|
| 70 |
+
"tier3_accuracy": 0.4352,
|
| 71 |
+
"tier4_accuracy": 0.25
|
| 72 |
+
},
|
| 73 |
+
"disagreements": {
|
| 74 |
+
"retrieval_vs_combined": 0
|
| 75 |
+
},
|
| 76 |
+
"embedding_retrieval": {
|
| 77 |
+
"average_prediction_depth": 2.5833,
|
| 78 |
+
"error_buckets": {
|
| 79 |
+
"exact_match": 48,
|
| 80 |
+
"parent_safe_stop": 17,
|
| 81 |
+
"right_tier1_wrong_tier2": 42,
|
| 82 |
+
"wrong_deep_leaf": 24,
|
| 83 |
+
"wrong_tier1": 25
|
| 84 |
+
},
|
| 85 |
+
"exact_path_accuracy": 0.3077,
|
| 86 |
+
"parent_safe_accuracy": 0.5449,
|
| 87 |
+
"tier1_accuracy": 0.8397,
|
| 88 |
+
"tier2_accuracy": 0.5705,
|
| 89 |
+
"tier3_accuracy": 0.4352,
|
| 90 |
+
"tier4_accuracy": 0.25
|
| 91 |
+
}
|
| 92 |
+
}
|
| 93 |
+
}
|
artifacts/evaluation/latest/iab_content_extended_cases_report.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
| 1 |
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| 6 |
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| 8 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 35 |
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| 50 |
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|
artifacts/evaluation/latest/iab_content_hard_cases_report.json
ADDED
|
@@ -0,0 +1,66 @@
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|
| 1 |
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{
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| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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| 41 |
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|
| 42 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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| 52 |
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|
| 53 |
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| 54 |
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|
| 55 |
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| 57 |
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|
| 58 |
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| 59 |
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| 60 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
artifacts/evaluation/latest/iab_content_test_report.json
ADDED
|
@@ -0,0 +1,58 @@
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|
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|
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|
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|
| 1 |
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{
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| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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},
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
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|
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|
| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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}
|
artifacts/evaluation/latest/iab_content_train_report.json
ADDED
|
@@ -0,0 +1,67 @@
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
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|
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|
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|
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|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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"head": "iab_content",
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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},
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
+
},
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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},
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
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| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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},
|
| 47 |
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|
| 48 |
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|
| 49 |
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},
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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}
|
| 66 |
+
}
|
| 67 |
+
}
|
artifacts/evaluation/latest/iab_content_val_report.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"accepted_accuracy": 0.6545,
|
| 3 |
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"accepted_coverage": 1.0,
|
| 4 |
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"accuracy": 0.6545,
|
| 5 |
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"count": 3282,
|
| 6 |
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"dataset_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/iab/val.jsonl",
|
| 7 |
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"fallback_rate": 0.0,
|
| 8 |
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"head": "iab_content",
|
| 9 |
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"macro_f1": 0.6957,
|
| 10 |
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"primary_source": "embedding_retrieval",
|
| 11 |
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"suite": "val",
|
| 12 |
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"tier_metrics": {
|
| 13 |
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"average_prediction_depth": 2.1813,
|
| 14 |
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"error_buckets": {
|
| 15 |
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"exact_match": 2148,
|
| 16 |
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"parent_safe_stop": 105,
|
| 17 |
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"right_tier1_wrong_tier2": 684,
|
| 18 |
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"wrong_deep_leaf": 234,
|
| 19 |
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"wrong_tier1": 111
|
| 20 |
+
},
|
| 21 |
+
"exact_path_accuracy": 0.6545,
|
| 22 |
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"parent_safe_accuracy": 0.7821,
|
| 23 |
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"tier1_accuracy": 0.9662,
|
| 24 |
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"tier2_accuracy": 0.7577,
|
| 25 |
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"tier3_accuracy": 0.8352,
|
| 26 |
+
"tier4_accuracy": 0.7214
|
| 27 |
+
},
|
| 28 |
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"view_metrics": {
|
| 29 |
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"combined_path": {
|
| 30 |
+
"average_prediction_depth": 2.1813,
|
| 31 |
+
"error_buckets": {
|
| 32 |
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"exact_match": 2116,
|
| 33 |
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"parent_safe_stop": 100,
|
| 34 |
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"right_tier1_wrong_tier2": 689,
|
| 35 |
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"wrong_deep_leaf": 266,
|
| 36 |
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"wrong_tier1": 111
|
| 37 |
+
},
|
| 38 |
+
"exact_path_accuracy": 0.6447,
|
| 39 |
+
"fallback_overuse_count": 413,
|
| 40 |
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"fallback_rate": 0.1258,
|
| 41 |
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"parent_safe_accuracy": 0.7709,
|
| 42 |
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"tier1_accuracy": 0.9662,
|
| 43 |
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"tier2_accuracy": 0.756,
|
| 44 |
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"tier3_accuracy": 0.799,
|
| 45 |
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"tier4_accuracy": 0.55
|
| 46 |
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},
|
| 47 |
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"disagreements": {
|
| 48 |
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"retrieval_vs_combined": 0
|
| 49 |
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},
|
| 50 |
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"embedding_retrieval": {
|
| 51 |
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"average_prediction_depth": 2.1813,
|
| 52 |
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"error_buckets": {
|
| 53 |
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"exact_match": 2116,
|
| 54 |
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"parent_safe_stop": 100,
|
| 55 |
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"right_tier1_wrong_tier2": 689,
|
| 56 |
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"wrong_deep_leaf": 266,
|
| 57 |
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"wrong_tier1": 111
|
| 58 |
+
},
|
| 59 |
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"exact_path_accuracy": 0.6447,
|
| 60 |
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"parent_safe_accuracy": 0.7709,
|
| 61 |
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"tier1_accuracy": 0.9662,
|
| 62 |
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"tier2_accuracy": 0.756,
|
| 63 |
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"tier3_accuracy": 0.799,
|
| 64 |
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"tier4_accuracy": 0.55
|
| 65 |
+
}
|
| 66 |
+
}
|
| 67 |
+
}
|
artifacts/evaluation/latest/iab_cross_vertical_behavior_lock_regression.json
ADDED
|
@@ -0,0 +1,1731 @@
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|
| 1 |
+
{
|
| 2 |
+
"by_status": {
|
| 3 |
+
"must_fix": {
|
| 4 |
+
"failed": 0,
|
| 5 |
+
"passed": 90,
|
| 6 |
+
"total": 90
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"cases_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/iab_cross_vertical_behavior_lock_cases.json",
|
| 10 |
+
"count": 90,
|
| 11 |
+
"failed": 0,
|
| 12 |
+
"passed": 90,
|
| 13 |
+
"results": [
|
| 14 |
+
{
|
| 15 |
+
"actual": {
|
| 16 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 17 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 18 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 19 |
+
},
|
| 20 |
+
"expected": {
|
| 21 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 22 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 23 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 24 |
+
},
|
| 25 |
+
"id": "auto-buying-easy",
|
| 26 |
+
"mismatches": [],
|
| 27 |
+
"notes": "Cross-vertical easy IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 28 |
+
"pass": true,
|
| 29 |
+
"status": "must_fix",
|
| 30 |
+
"text": "Which car should I buy for commuting?"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"actual": {
|
| 34 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 35 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 36 |
+
"model_output.classification.iab_content.tier2.label": "Auto Body Styles"
|
| 37 |
+
},
|
| 38 |
+
"expected": {
|
| 39 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 40 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 41 |
+
"model_output.classification.iab_content.tier2.label": "Auto Body Styles"
|
| 42 |
+
},
|
| 43 |
+
"id": "auto-buying-medium",
|
| 44 |
+
"mismatches": [],
|
| 45 |
+
"notes": "Cross-vertical medium IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 46 |
+
"pass": true,
|
| 47 |
+
"status": "must_fix",
|
| 48 |
+
"text": "Best used SUV for a family of four"
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"actual": {
|
| 52 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 53 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 54 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 55 |
+
},
|
| 56 |
+
"expected": {
|
| 57 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 58 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 59 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 60 |
+
},
|
| 61 |
+
"id": "auto-buying-hard",
|
| 62 |
+
"mismatches": [],
|
| 63 |
+
"notes": "Cross-vertical hard IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 64 |
+
"pass": true,
|
| 65 |
+
"status": "must_fix",
|
| 66 |
+
"text": "I need a shortlist of practical cars before making a purchase this month"
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"actual": {
|
| 70 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 71 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 72 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 73 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 74 |
+
},
|
| 75 |
+
"expected": {
|
| 76 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 77 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 78 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 79 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 80 |
+
},
|
| 81 |
+
"id": "sales-crm-easy",
|
| 82 |
+
"mismatches": [],
|
| 83 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Sales.",
|
| 84 |
+
"pass": true,
|
| 85 |
+
"status": "must_fix",
|
| 86 |
+
"text": "What is CRM software?"
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"actual": {
|
| 90 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 91 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 92 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 93 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 94 |
+
},
|
| 95 |
+
"expected": {
|
| 96 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 97 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 98 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 99 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 100 |
+
},
|
| 101 |
+
"id": "sales-crm-medium",
|
| 102 |
+
"mismatches": [],
|
| 103 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Sales.",
|
| 104 |
+
"pass": true,
|
| 105 |
+
"status": "must_fix",
|
| 106 |
+
"text": "HubSpot vs Zoho for a small team"
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"actual": {
|
| 110 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 111 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 112 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 113 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 114 |
+
},
|
| 115 |
+
"expected": {
|
| 116 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 117 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 118 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 119 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 120 |
+
},
|
| 121 |
+
"id": "sales-crm-hard",
|
| 122 |
+
"mismatches": [],
|
| 123 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Sales.",
|
| 124 |
+
"pass": true,
|
| 125 |
+
"status": "must_fix",
|
| 126 |
+
"text": "Need software to manage leads and pipeline for a startup sales team"
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"actual": {
|
| 130 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 131 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 132 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 133 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 134 |
+
},
|
| 135 |
+
"expected": {
|
| 136 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 137 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 138 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 139 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 140 |
+
},
|
| 141 |
+
"id": "marketing-tools-easy",
|
| 142 |
+
"mismatches": [],
|
| 143 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 144 |
+
"pass": true,
|
| 145 |
+
"status": "must_fix",
|
| 146 |
+
"text": "Best SEO tools for content teams"
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"actual": {
|
| 150 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 151 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 152 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 153 |
+
},
|
| 154 |
+
"expected": {
|
| 155 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 156 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 157 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 158 |
+
},
|
| 159 |
+
"id": "marketing-tools-medium",
|
| 160 |
+
"mismatches": [],
|
| 161 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 162 |
+
"pass": true,
|
| 163 |
+
"status": "must_fix",
|
| 164 |
+
"text": "How should I compare ad attribution platforms?"
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"actual": {
|
| 168 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 169 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 170 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 171 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 172 |
+
},
|
| 173 |
+
"expected": {
|
| 174 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 175 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 176 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 177 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 178 |
+
},
|
| 179 |
+
"id": "marketing-tools-hard",
|
| 180 |
+
"mismatches": [],
|
| 181 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 182 |
+
"pass": true,
|
| 183 |
+
"status": "must_fix",
|
| 184 |
+
"text": "Need software to measure channel performance across paid and organic campaigns"
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"actual": {
|
| 188 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 189 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 190 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 191 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 192 |
+
},
|
| 193 |
+
"expected": {
|
| 194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 195 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 196 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 197 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 198 |
+
},
|
| 199 |
+
"id": "business-it-easy",
|
| 200 |
+
"mismatches": [],
|
| 201 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 202 |
+
"pass": true,
|
| 203 |
+
"status": "must_fix",
|
| 204 |
+
"text": "How do I reset my work password?"
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"actual": {
|
| 208 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 209 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 210 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 211 |
+
},
|
| 212 |
+
"expected": {
|
| 213 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 214 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 215 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 216 |
+
},
|
| 217 |
+
"id": "business-it-medium",
|
| 218 |
+
"mismatches": [],
|
| 219 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 220 |
+
"pass": true,
|
| 221 |
+
"status": "must_fix",
|
| 222 |
+
"text": "My employees keep getting locked out of their accounts"
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"actual": {
|
| 226 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 227 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 228 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 229 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 230 |
+
},
|
| 231 |
+
"expected": {
|
| 232 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 233 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 234 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 235 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 236 |
+
},
|
| 237 |
+
"id": "business-it-hard",
|
| 238 |
+
"mismatches": [],
|
| 239 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 240 |
+
"pass": true,
|
| 241 |
+
"status": "must_fix",
|
| 242 |
+
"text": "Need identity and access software for login, permissions, and account security"
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"actual": {
|
| 246 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 247 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 248 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 249 |
+
},
|
| 250 |
+
"expected": {
|
| 251 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 252 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 253 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 254 |
+
},
|
| 255 |
+
"id": "dining-out-easy",
|
| 256 |
+
"mismatches": [],
|
| 257 |
+
"notes": "Cross-vertical easy IAB mapping case for Food & Drink > Dining Out.",
|
| 258 |
+
"pass": true,
|
| 259 |
+
"status": "must_fix",
|
| 260 |
+
"text": "Book a table for six tonight"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"actual": {
|
| 264 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 265 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 266 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 267 |
+
},
|
| 268 |
+
"expected": {
|
| 269 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 270 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 271 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 272 |
+
},
|
| 273 |
+
"id": "dining-out-medium",
|
| 274 |
+
"mismatches": [],
|
| 275 |
+
"notes": "Cross-vertical medium IAB mapping case for Food & Drink > Dining Out.",
|
| 276 |
+
"pass": true,
|
| 277 |
+
"status": "must_fix",
|
| 278 |
+
"text": "Good restaurants for a client dinner downtown"
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"actual": {
|
| 282 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 283 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 284 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 285 |
+
},
|
| 286 |
+
"expected": {
|
| 287 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 288 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 289 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 290 |
+
},
|
| 291 |
+
"id": "dining-out-hard",
|
| 292 |
+
"mismatches": [],
|
| 293 |
+
"notes": "Cross-vertical hard IAB mapping case for Food & Drink > Dining Out.",
|
| 294 |
+
"pass": true,
|
| 295 |
+
"status": "must_fix",
|
| 296 |
+
"text": "Need a place to eat tonight where I can make a reservation online"
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"actual": {
|
| 300 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 301 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 302 |
+
},
|
| 303 |
+
"expected": {
|
| 304 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 305 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 306 |
+
},
|
| 307 |
+
"id": "alcoholic-beverages-easy",
|
| 308 |
+
"mismatches": [],
|
| 309 |
+
"notes": "Cross-vertical easy IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 310 |
+
"pass": true,
|
| 311 |
+
"status": "must_fix",
|
| 312 |
+
"text": "Which whiskey cocktail should I order?"
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"actual": {
|
| 316 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 317 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 318 |
+
},
|
| 319 |
+
"expected": {
|
| 320 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 321 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 322 |
+
},
|
| 323 |
+
"id": "alcoholic-beverages-medium",
|
| 324 |
+
"mismatches": [],
|
| 325 |
+
"notes": "Cross-vertical medium IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 326 |
+
"pass": true,
|
| 327 |
+
"status": "must_fix",
|
| 328 |
+
"text": "Best vodka drinks for beginners"
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"actual": {
|
| 332 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 333 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 334 |
+
},
|
| 335 |
+
"expected": {
|
| 336 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 337 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 338 |
+
},
|
| 339 |
+
"id": "alcoholic-beverages-hard",
|
| 340 |
+
"mismatches": [],
|
| 341 |
+
"notes": "Cross-vertical hard IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 342 |
+
"pass": true,
|
| 343 |
+
"status": "must_fix",
|
| 344 |
+
"text": "Want a spirit-forward drink recommendation, not a restaurant suggestion"
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"actual": {
|
| 348 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 349 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 350 |
+
},
|
| 351 |
+
"expected": {
|
| 352 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 353 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 354 |
+
},
|
| 355 |
+
"id": "artificial-intelligence-easy",
|
| 356 |
+
"mismatches": [],
|
| 357 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 358 |
+
"pass": true,
|
| 359 |
+
"status": "must_fix",
|
| 360 |
+
"text": "What is intent classification in NLP?"
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"actual": {
|
| 364 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 365 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 366 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 367 |
+
},
|
| 368 |
+
"expected": {
|
| 369 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 370 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 371 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 372 |
+
},
|
| 373 |
+
"id": "artificial-intelligence-medium",
|
| 374 |
+
"mismatches": [],
|
| 375 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 376 |
+
"pass": true,
|
| 377 |
+
"status": "must_fix",
|
| 378 |
+
"text": "How do large language models handle text classification?"
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"actual": {
|
| 382 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 383 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 384 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 385 |
+
},
|
| 386 |
+
"expected": {
|
| 387 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 388 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 389 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 390 |
+
},
|
| 391 |
+
"id": "artificial-intelligence-hard",
|
| 392 |
+
"mismatches": [],
|
| 393 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 394 |
+
"pass": true,
|
| 395 |
+
"status": "must_fix",
|
| 396 |
+
"text": "Need the machine learning concept behind language understanding, not software to buy"
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"actual": {
|
| 400 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 401 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 402 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 403 |
+
},
|
| 404 |
+
"expected": {
|
| 405 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 406 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 407 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 408 |
+
},
|
| 409 |
+
"id": "software-apps-easy",
|
| 410 |
+
"mismatches": [],
|
| 411 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 412 |
+
"pass": true,
|
| 413 |
+
"status": "must_fix",
|
| 414 |
+
"text": "Best workflow software for a small operations team"
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"actual": {
|
| 418 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 419 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 420 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 421 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 422 |
+
"model_output.classification.iab_content.tier4.label": "Cloud Computing"
|
| 423 |
+
},
|
| 424 |
+
"expected": {
|
| 425 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 426 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 427 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 428 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 429 |
+
"model_output.classification.iab_content.tier4.label": "Cloud Computing"
|
| 430 |
+
},
|
| 431 |
+
"id": "software-apps-medium",
|
| 432 |
+
"mismatches": [],
|
| 433 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 434 |
+
"pass": true,
|
| 435 |
+
"status": "must_fix",
|
| 436 |
+
"text": "Need project management software for a distributed team"
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"actual": {
|
| 440 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 441 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 442 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 443 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 444 |
+
},
|
| 445 |
+
"expected": {
|
| 446 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 447 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 448 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 449 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 450 |
+
},
|
| 451 |
+
"id": "software-apps-hard",
|
| 452 |
+
"mismatches": [],
|
| 453 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 454 |
+
"pass": true,
|
| 455 |
+
"status": "must_fix",
|
| 456 |
+
"text": "Looking for a business software platform to organize internal workflows"
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"actual": {
|
| 460 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 461 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 462 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 463 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 464 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 465 |
+
},
|
| 466 |
+
"expected": {
|
| 467 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 468 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 469 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 470 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 471 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 472 |
+
},
|
| 473 |
+
"id": "communication-software-easy",
|
| 474 |
+
"mismatches": [],
|
| 475 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 476 |
+
"pass": true,
|
| 477 |
+
"status": "must_fix",
|
| 478 |
+
"text": "Best communication software for remote teams"
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"actual": {
|
| 482 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 483 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 484 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 485 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 486 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 487 |
+
},
|
| 488 |
+
"expected": {
|
| 489 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 490 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 491 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 492 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 493 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 494 |
+
},
|
| 495 |
+
"id": "communication-software-medium",
|
| 496 |
+
"mismatches": [],
|
| 497 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 498 |
+
"pass": true,
|
| 499 |
+
"status": "must_fix",
|
| 500 |
+
"text": "Slack vs Teams for internal messaging"
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"actual": {
|
| 504 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 505 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 506 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 507 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 508 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 509 |
+
},
|
| 510 |
+
"expected": {
|
| 511 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 512 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 513 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 514 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 515 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 516 |
+
},
|
| 517 |
+
"id": "communication-software-hard",
|
| 518 |
+
"mismatches": [],
|
| 519 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 520 |
+
"pass": true,
|
| 521 |
+
"status": "must_fix",
|
| 522 |
+
"text": "Need a workplace chat tool for cross-functional collaboration"
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"actual": {
|
| 526 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 527 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 528 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 529 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 530 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 531 |
+
},
|
| 532 |
+
"expected": {
|
| 533 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 534 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 535 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 536 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 537 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 538 |
+
},
|
| 539 |
+
"id": "web-hosting-easy",
|
| 540 |
+
"mismatches": [],
|
| 541 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 542 |
+
"pass": true,
|
| 543 |
+
"status": "must_fix",
|
| 544 |
+
"text": "Vercel vs Netlify for website hosting"
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"actual": {
|
| 548 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 549 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 550 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 551 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 552 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 553 |
+
},
|
| 554 |
+
"expected": {
|
| 555 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 556 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 557 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 558 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 559 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 560 |
+
},
|
| 561 |
+
"id": "web-hosting-medium",
|
| 562 |
+
"mismatches": [],
|
| 563 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 564 |
+
"pass": true,
|
| 565 |
+
"status": "must_fix",
|
| 566 |
+
"text": "Best hosting platform for a startup website"
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"actual": {
|
| 570 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 571 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 572 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 573 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 574 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 575 |
+
},
|
| 576 |
+
"expected": {
|
| 577 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 578 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 579 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 580 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 581 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 582 |
+
},
|
| 583 |
+
"id": "web-hosting-hard",
|
| 584 |
+
"mismatches": [],
|
| 585 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 586 |
+
"pass": true,
|
| 587 |
+
"status": "must_fix",
|
| 588 |
+
"text": "Need a managed hosting provider to deploy and run our marketing site"
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"actual": {
|
| 592 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 593 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 594 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 595 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 596 |
+
},
|
| 597 |
+
"expected": {
|
| 598 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 599 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 600 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 601 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 602 |
+
},
|
| 603 |
+
"id": "laptops-easy",
|
| 604 |
+
"mismatches": [],
|
| 605 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 606 |
+
"pass": true,
|
| 607 |
+
"status": "must_fix",
|
| 608 |
+
"text": "Which laptop should I buy for college?"
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"actual": {
|
| 612 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 613 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 614 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 615 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 616 |
+
},
|
| 617 |
+
"expected": {
|
| 618 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 619 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 620 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 621 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 622 |
+
},
|
| 623 |
+
"id": "laptops-medium",
|
| 624 |
+
"mismatches": [],
|
| 625 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 626 |
+
"pass": true,
|
| 627 |
+
"status": "must_fix",
|
| 628 |
+
"text": "Best laptop for work and study under 1200"
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"actual": {
|
| 632 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 633 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 634 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 635 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 636 |
+
},
|
| 637 |
+
"expected": {
|
| 638 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 639 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 640 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 641 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 642 |
+
},
|
| 643 |
+
"id": "laptops-hard",
|
| 644 |
+
"mismatches": [],
|
| 645 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 646 |
+
"pass": true,
|
| 647 |
+
"status": "must_fix",
|
| 648 |
+
"text": "Need a portable computer with good battery life for everyday work"
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"actual": {
|
| 652 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 653 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 654 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 655 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 656 |
+
"model_output.classification.iab_content.tier4.label": "Photo Editing Software"
|
| 657 |
+
},
|
| 658 |
+
"expected": {
|
| 659 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 660 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 661 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 662 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 663 |
+
"model_output.classification.iab_content.tier4.label": "Photo Editing Software"
|
| 664 |
+
},
|
| 665 |
+
"id": "desktops-easy",
|
| 666 |
+
"mismatches": [],
|
| 667 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 668 |
+
"pass": true,
|
| 669 |
+
"status": "must_fix",
|
| 670 |
+
"text": "Best desktop for video editing"
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"actual": {
|
| 674 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 675 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 676 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 677 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 678 |
+
},
|
| 679 |
+
"expected": {
|
| 680 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 681 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 682 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 683 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 684 |
+
},
|
| 685 |
+
"id": "desktops-medium",
|
| 686 |
+
"mismatches": [],
|
| 687 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 688 |
+
"pass": true,
|
| 689 |
+
"status": "must_fix",
|
| 690 |
+
"text": "Which desktop computer should I buy for a home office?"
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"actual": {
|
| 694 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 695 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 696 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 697 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 698 |
+
},
|
| 699 |
+
"expected": {
|
| 700 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 701 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 702 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 703 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 704 |
+
},
|
| 705 |
+
"id": "desktops-hard",
|
| 706 |
+
"mismatches": [],
|
| 707 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 708 |
+
"pass": true,
|
| 709 |
+
"status": "must_fix",
|
| 710 |
+
"text": "Need a desktop PC with strong performance for creative work"
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"actual": {
|
| 714 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 715 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 716 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics"
|
| 717 |
+
},
|
| 718 |
+
"expected": {
|
| 719 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 720 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 721 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics"
|
| 722 |
+
},
|
| 723 |
+
"id": "smartphones-easy",
|
| 724 |
+
"mismatches": [],
|
| 725 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 726 |
+
"pass": true,
|
| 727 |
+
"status": "must_fix",
|
| 728 |
+
"text": "Best phone with a good camera under 700"
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"actual": {
|
| 732 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 733 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 734 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 735 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 736 |
+
},
|
| 737 |
+
"expected": {
|
| 738 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 739 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 740 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 741 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 742 |
+
},
|
| 743 |
+
"id": "smartphones-medium",
|
| 744 |
+
"mismatches": [],
|
| 745 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 746 |
+
"pass": true,
|
| 747 |
+
"status": "must_fix",
|
| 748 |
+
"text": "Should I buy an iPhone or Pixel this year?"
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"actual": {
|
| 752 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 753 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 754 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 755 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 756 |
+
},
|
| 757 |
+
"expected": {
|
| 758 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 759 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 760 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 761 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 762 |
+
},
|
| 763 |
+
"id": "smartphones-hard",
|
| 764 |
+
"mismatches": [],
|
| 765 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 766 |
+
"pass": true,
|
| 767 |
+
"status": "must_fix",
|
| 768 |
+
"text": "Need a new smartphone with strong battery life and a clean software experience"
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"actual": {
|
| 772 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 773 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 774 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 775 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 776 |
+
},
|
| 777 |
+
"expected": {
|
| 778 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 779 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 780 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 781 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 782 |
+
},
|
| 783 |
+
"id": "style-fashion-parent-easy",
|
| 784 |
+
"mismatches": [],
|
| 785 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion.",
|
| 786 |
+
"pass": true,
|
| 787 |
+
"status": "must_fix",
|
| 788 |
+
"text": "Best shoes under 100 dollars"
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"actual": {
|
| 792 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 793 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 794 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 795 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 796 |
+
},
|
| 797 |
+
"expected": {
|
| 798 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 799 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 800 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 801 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 802 |
+
},
|
| 803 |
+
"id": "style-fashion-parent-medium",
|
| 804 |
+
"mismatches": [],
|
| 805 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion.",
|
| 806 |
+
"pass": true,
|
| 807 |
+
"status": "must_fix",
|
| 808 |
+
"text": "Affordable fashion accessories for everyday wear"
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"actual": {
|
| 812 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 813 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 814 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 815 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 816 |
+
},
|
| 817 |
+
"expected": {
|
| 818 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 819 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 820 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 821 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 822 |
+
},
|
| 823 |
+
"id": "style-fashion-parent-hard",
|
| 824 |
+
"mismatches": [],
|
| 825 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion.",
|
| 826 |
+
"pass": true,
|
| 827 |
+
"status": "must_fix",
|
| 828 |
+
"text": "Need style recommendations for clothing and footwear without a specific brand in mind"
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"actual": {
|
| 832 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 833 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 834 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 835 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 836 |
+
},
|
| 837 |
+
"expected": {
|
| 838 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 839 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 840 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 841 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 842 |
+
},
|
| 843 |
+
"id": "womens-shoes-easy",
|
| 844 |
+
"mismatches": [],
|
| 845 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 846 |
+
"pass": true,
|
| 847 |
+
"status": "must_fix",
|
| 848 |
+
"text": "Best women's running shoes under 100 dollars"
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"actual": {
|
| 852 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 853 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 854 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 855 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 856 |
+
},
|
| 857 |
+
"expected": {
|
| 858 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 859 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 860 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 861 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 862 |
+
},
|
| 863 |
+
"id": "womens-shoes-medium",
|
| 864 |
+
"mismatches": [],
|
| 865 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 866 |
+
"pass": true,
|
| 867 |
+
"status": "must_fix",
|
| 868 |
+
"text": "Comfortable women's sneakers for walking all day"
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"actual": {
|
| 872 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 873 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 874 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 875 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 876 |
+
},
|
| 877 |
+
"expected": {
|
| 878 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 879 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 880 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 881 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 882 |
+
},
|
| 883 |
+
"id": "womens-shoes-hard",
|
| 884 |
+
"mismatches": [],
|
| 885 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 886 |
+
"pass": true,
|
| 887 |
+
"status": "must_fix",
|
| 888 |
+
"text": "Need women's footwear for commuting that looks polished but feels comfortable"
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"actual": {
|
| 892 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 893 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 894 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 895 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 896 |
+
},
|
| 897 |
+
"expected": {
|
| 898 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 899 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 900 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 901 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 902 |
+
},
|
| 903 |
+
"id": "mens-shoes-easy",
|
| 904 |
+
"mismatches": [],
|
| 905 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 906 |
+
"pass": true,
|
| 907 |
+
"status": "must_fix",
|
| 908 |
+
"text": "Best men's sneakers for daily wear"
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"actual": {
|
| 912 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 913 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 914 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 915 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 916 |
+
},
|
| 917 |
+
"expected": {
|
| 918 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 919 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 920 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 921 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 922 |
+
},
|
| 923 |
+
"id": "mens-shoes-medium",
|
| 924 |
+
"mismatches": [],
|
| 925 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 926 |
+
"pass": true,
|
| 927 |
+
"status": "must_fix",
|
| 928 |
+
"text": "Good men's dress shoes for office use"
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"actual": {
|
| 932 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 933 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 934 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 935 |
+
"model_output.classification.iab_content.tier3.label": "Men's Shoes and Footwear"
|
| 936 |
+
},
|
| 937 |
+
"expected": {
|
| 938 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 939 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 940 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 941 |
+
"model_output.classification.iab_content.tier3.label": "Men's Shoes and Footwear"
|
| 942 |
+
},
|
| 943 |
+
"id": "mens-shoes-hard",
|
| 944 |
+
"mismatches": [],
|
| 945 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 946 |
+
"pass": true,
|
| 947 |
+
"status": "must_fix",
|
| 948 |
+
"text": "Need men's footwear that works for workdays and weekend walking"
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"actual": {
|
| 952 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 953 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 954 |
+
"model_output.classification.iab_content.tier2.label": "Hotel Properties"
|
| 955 |
+
},
|
| 956 |
+
"expected": {
|
| 957 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 958 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 959 |
+
"model_output.classification.iab_content.tier2.label": "Hotel Properties"
|
| 960 |
+
},
|
| 961 |
+
"id": "hotels-easy",
|
| 962 |
+
"mismatches": [],
|
| 963 |
+
"notes": "Cross-vertical easy IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 964 |
+
"pass": true,
|
| 965 |
+
"status": "must_fix",
|
| 966 |
+
"text": "Need a hotel in Chicago for two nights"
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"actual": {
|
| 970 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 971 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 972 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type",
|
| 973 |
+
"model_output.classification.iab_content.tier3.label": "Hotels and Motels"
|
| 974 |
+
},
|
| 975 |
+
"expected": {
|
| 976 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 977 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 978 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type",
|
| 979 |
+
"model_output.classification.iab_content.tier3.label": "Hotels and Motels"
|
| 980 |
+
},
|
| 981 |
+
"id": "hotels-medium",
|
| 982 |
+
"mismatches": [],
|
| 983 |
+
"notes": "Cross-vertical medium IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 984 |
+
"pass": true,
|
| 985 |
+
"status": "must_fix",
|
| 986 |
+
"text": "Best hotels near Times Square for a weekend trip"
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"actual": {
|
| 990 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 991 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 992 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 993 |
+
},
|
| 994 |
+
"expected": {
|
| 995 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 996 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 997 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 998 |
+
},
|
| 999 |
+
"id": "hotels-hard",
|
| 1000 |
+
"mismatches": [],
|
| 1001 |
+
"notes": "Cross-vertical hard IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 1002 |
+
"pass": true,
|
| 1003 |
+
"status": "must_fix",
|
| 1004 |
+
"text": "Looking for a place to stay during a work trip, not general travel advice"
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"actual": {
|
| 1008 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1009 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1010 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1011 |
+
},
|
| 1012 |
+
"expected": {
|
| 1013 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1014 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1015 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1016 |
+
},
|
| 1017 |
+
"id": "real-estate-rentals-easy",
|
| 1018 |
+
"mismatches": [],
|
| 1019 |
+
"notes": "Cross-vertical easy IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1020 |
+
"pass": true,
|
| 1021 |
+
"status": "must_fix",
|
| 1022 |
+
"text": "Apartments for rent near downtown Austin"
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"actual": {
|
| 1026 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1027 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1028 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1029 |
+
},
|
| 1030 |
+
"expected": {
|
| 1031 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1032 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1033 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1034 |
+
},
|
| 1035 |
+
"id": "real-estate-rentals-medium",
|
| 1036 |
+
"mismatches": [],
|
| 1037 |
+
"notes": "Cross-vertical medium IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1038 |
+
"pass": true,
|
| 1039 |
+
"status": "must_fix",
|
| 1040 |
+
"text": "Best neighborhoods to lease a two-bedroom apartment in Seattle"
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"actual": {
|
| 1044 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1045 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1046 |
+
"model_output.classification.iab_content.tier2.label": "Personal Debt",
|
| 1047 |
+
"model_output.classification.iab_content.tier3.label": "Home Financing"
|
| 1048 |
+
},
|
| 1049 |
+
"expected": {
|
| 1050 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1051 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1052 |
+
"model_output.classification.iab_content.tier2.label": "Personal Debt",
|
| 1053 |
+
"model_output.classification.iab_content.tier3.label": "Home Financing"
|
| 1054 |
+
},
|
| 1055 |
+
"id": "real-estate-rentals-hard",
|
| 1056 |
+
"mismatches": [],
|
| 1057 |
+
"notes": "Cross-vertical hard IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1058 |
+
"pass": true,
|
| 1059 |
+
"status": "must_fix",
|
| 1060 |
+
"text": "Need rental listings for a short move, not home-buying advice"
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"actual": {
|
| 1064 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1065 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1066 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1067 |
+
"model_output.classification.iab_content.tier3.label": "Green Solutions"
|
| 1068 |
+
},
|
| 1069 |
+
"expected": {
|
| 1070 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1071 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1072 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1073 |
+
"model_output.classification.iab_content.tier3.label": "Green Solutions"
|
| 1074 |
+
},
|
| 1075 |
+
"id": "running-and-jogging-easy",
|
| 1076 |
+
"mismatches": [],
|
| 1077 |
+
"notes": "Cross-vertical easy IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1078 |
+
"pass": true,
|
| 1079 |
+
"status": "must_fix",
|
| 1080 |
+
"text": "Best running plan for a first 10k"
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"actual": {
|
| 1084 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1085 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1086 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1087 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1088 |
+
},
|
| 1089 |
+
"expected": {
|
| 1090 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1091 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1092 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1093 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1094 |
+
},
|
| 1095 |
+
"id": "running-and-jogging-medium",
|
| 1096 |
+
"mismatches": [],
|
| 1097 |
+
"notes": "Cross-vertical medium IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1098 |
+
"pass": true,
|
| 1099 |
+
"status": "must_fix",
|
| 1100 |
+
"text": "How should I train for a half marathon as a beginner?"
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"actual": {
|
| 1104 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1105 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1106 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1107 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1108 |
+
},
|
| 1109 |
+
"expected": {
|
| 1110 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1111 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1112 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1113 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1114 |
+
},
|
| 1115 |
+
"id": "running-and-jogging-hard",
|
| 1116 |
+
"mismatches": [],
|
| 1117 |
+
"notes": "Cross-vertical hard IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1118 |
+
"pass": true,
|
| 1119 |
+
"status": "must_fix",
|
| 1120 |
+
"text": "Need guidance on building a weekly jogging routine without getting injured"
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"actual": {
|
| 1124 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1125 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1126 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1127 |
+
},
|
| 1128 |
+
"expected": {
|
| 1129 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1130 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1131 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1132 |
+
},
|
| 1133 |
+
"id": "soccer-easy",
|
| 1134 |
+
"mismatches": [],
|
| 1135 |
+
"notes": "Cross-vertical easy IAB mapping case for Sports > Soccer.",
|
| 1136 |
+
"pass": true,
|
| 1137 |
+
"status": "must_fix",
|
| 1138 |
+
"text": "How do offside rules work in soccer?"
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"actual": {
|
| 1142 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1143 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1144 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1145 |
+
},
|
| 1146 |
+
"expected": {
|
| 1147 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1148 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1149 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1150 |
+
},
|
| 1151 |
+
"id": "soccer-medium",
|
| 1152 |
+
"mismatches": [],
|
| 1153 |
+
"notes": "Cross-vertical medium IAB mapping case for Sports > Soccer.",
|
| 1154 |
+
"pass": true,
|
| 1155 |
+
"status": "must_fix",
|
| 1156 |
+
"text": "Best soccer drills for beginner players"
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"actual": {
|
| 1160 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1161 |
+
"model_output.classification.iab_content.tier1.label": "Sports"
|
| 1162 |
+
},
|
| 1163 |
+
"expected": {
|
| 1164 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1165 |
+
"model_output.classification.iab_content.tier1.label": "Sports"
|
| 1166 |
+
},
|
| 1167 |
+
"id": "soccer-hard",
|
| 1168 |
+
"mismatches": [],
|
| 1169 |
+
"notes": "Cross-vertical hard IAB mapping case for Sports > Soccer.",
|
| 1170 |
+
"pass": true,
|
| 1171 |
+
"status": "must_fix",
|
| 1172 |
+
"text": "Need help understanding football tactics for the Premier League, not fantasy sports"
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"actual": {
|
| 1176 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1177 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1178 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1179 |
+
},
|
| 1180 |
+
"expected": {
|
| 1181 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1182 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1183 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1184 |
+
},
|
| 1185 |
+
"id": "fiction-easy",
|
| 1186 |
+
"mismatches": [],
|
| 1187 |
+
"notes": "Cross-vertical easy IAB mapping case for Books and Literature > Fiction.",
|
| 1188 |
+
"pass": true,
|
| 1189 |
+
"status": "must_fix",
|
| 1190 |
+
"text": "Recommend a good fantasy novel to read"
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"actual": {
|
| 1194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1195 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1196 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1197 |
+
},
|
| 1198 |
+
"expected": {
|
| 1199 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1200 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1201 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1202 |
+
},
|
| 1203 |
+
"id": "fiction-medium",
|
| 1204 |
+
"mismatches": [],
|
| 1205 |
+
"notes": "Cross-vertical medium IAB mapping case for Books and Literature > Fiction.",
|
| 1206 |
+
"pass": true,
|
| 1207 |
+
"status": "must_fix",
|
| 1208 |
+
"text": "Best fiction books for a long flight"
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"actual": {
|
| 1212 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1213 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature"
|
| 1214 |
+
},
|
| 1215 |
+
"expected": {
|
| 1216 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1217 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature"
|
| 1218 |
+
},
|
| 1219 |
+
"id": "fiction-hard",
|
| 1220 |
+
"mismatches": [],
|
| 1221 |
+
"notes": "Cross-vertical hard IAB mapping case for Books and Literature > Fiction.",
|
| 1222 |
+
"pass": true,
|
| 1223 |
+
"status": "must_fix",
|
| 1224 |
+
"text": "Looking for a character-driven novel, not comics or poetry"
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"actual": {
|
| 1228 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1229 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1230 |
+
"model_output.classification.iab_content.tier2.label": "Remodeling & Construction"
|
| 1231 |
+
},
|
| 1232 |
+
"expected": {
|
| 1233 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1234 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1235 |
+
"model_output.classification.iab_content.tier2.label": "Remodeling & Construction"
|
| 1236 |
+
},
|
| 1237 |
+
"id": "home-improvement-easy",
|
| 1238 |
+
"mismatches": [],
|
| 1239 |
+
"notes": "Cross-vertical easy IAB mapping case for Home & Garden > Home Improvement.",
|
| 1240 |
+
"pass": true,
|
| 1241 |
+
"status": "must_fix",
|
| 1242 |
+
"text": "How much does a kitchen remodel usually cost?"
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"actual": {
|
| 1246 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1247 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 1248 |
+
"model_output.classification.iab_content.tier2.label": "Personal Care",
|
| 1249 |
+
"model_output.classification.iab_content.tier3.label": "Bath and Shower"
|
| 1250 |
+
},
|
| 1251 |
+
"expected": {
|
| 1252 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1253 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 1254 |
+
"model_output.classification.iab_content.tier2.label": "Personal Care",
|
| 1255 |
+
"model_output.classification.iab_content.tier3.label": "Bath and Shower"
|
| 1256 |
+
},
|
| 1257 |
+
"id": "home-improvement-medium",
|
| 1258 |
+
"mismatches": [],
|
| 1259 |
+
"notes": "Cross-vertical medium IAB mapping case for Home & Garden > Home Improvement.",
|
| 1260 |
+
"pass": true,
|
| 1261 |
+
"status": "must_fix",
|
| 1262 |
+
"text": "Best tools for a DIY bathroom renovation"
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"actual": {
|
| 1266 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1267 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1268 |
+
"model_output.classification.iab_content.tier2.label": "Interior Decorating"
|
| 1269 |
+
},
|
| 1270 |
+
"expected": {
|
| 1271 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1272 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1273 |
+
"model_output.classification.iab_content.tier2.label": "Interior Decorating"
|
| 1274 |
+
},
|
| 1275 |
+
"id": "home-improvement-hard",
|
| 1276 |
+
"mismatches": [],
|
| 1277 |
+
"notes": "Cross-vertical hard IAB mapping case for Home & Garden > Home Improvement.",
|
| 1278 |
+
"pass": true,
|
| 1279 |
+
"status": "must_fix",
|
| 1280 |
+
"text": "Need practical advice for upgrading an older house, not interior decor inspiration"
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"actual": {
|
| 1284 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1285 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1286 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 1287 |
+
},
|
| 1288 |
+
"expected": {
|
| 1289 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1290 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1291 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 1292 |
+
},
|
| 1293 |
+
"id": "online-education-easy",
|
| 1294 |
+
"mismatches": [],
|
| 1295 |
+
"notes": "Cross-vertical easy IAB mapping case for Education > Online Education.",
|
| 1296 |
+
"pass": true,
|
| 1297 |
+
"status": "must_fix",
|
| 1298 |
+
"text": "Best online courses for learning Python"
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"actual": {
|
| 1302 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1303 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1304 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1305 |
+
},
|
| 1306 |
+
"expected": {
|
| 1307 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1308 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1309 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1310 |
+
},
|
| 1311 |
+
"id": "online-education-medium",
|
| 1312 |
+
"mismatches": [],
|
| 1313 |
+
"notes": "Cross-vertical medium IAB mapping case for Education > Online Education.",
|
| 1314 |
+
"pass": true,
|
| 1315 |
+
"status": "must_fix",
|
| 1316 |
+
"text": "What are good platforms for remote professional classes?"
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"actual": {
|
| 1320 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1321 |
+
"model_output.classification.iab_content.tier1.label": "Careers"
|
| 1322 |
+
},
|
| 1323 |
+
"expected": {
|
| 1324 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1325 |
+
"model_output.classification.iab_content.tier1.label": "Careers"
|
| 1326 |
+
},
|
| 1327 |
+
"id": "online-education-hard",
|
| 1328 |
+
"mismatches": [],
|
| 1329 |
+
"notes": "Cross-vertical hard IAB mapping case for Education > Online Education.",
|
| 1330 |
+
"pass": true,
|
| 1331 |
+
"status": "must_fix",
|
| 1332 |
+
"text": "Need internet-based training options I can finish after work hours"
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"actual": {
|
| 1336 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1337 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1338 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1339 |
+
},
|
| 1340 |
+
"expected": {
|
| 1341 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1342 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1343 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1344 |
+
},
|
| 1345 |
+
"id": "postgraduate-education-easy",
|
| 1346 |
+
"mismatches": [],
|
| 1347 |
+
"notes": "Cross-vertical easy IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1348 |
+
"pass": true,
|
| 1349 |
+
"status": "must_fix",
|
| 1350 |
+
"text": "best universities to study masters"
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"actual": {
|
| 1354 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1355 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1356 |
+
"model_output.classification.iab_content.tier2.label": "College Education",
|
| 1357 |
+
"model_output.classification.iab_content.tier3.label": "Postgraduate Education",
|
| 1358 |
+
"model_output.classification.iab_content.tier4.label": "Professional School"
|
| 1359 |
+
},
|
| 1360 |
+
"expected": {
|
| 1361 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1362 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1363 |
+
"model_output.classification.iab_content.tier2.label": "College Education",
|
| 1364 |
+
"model_output.classification.iab_content.tier3.label": "Postgraduate Education",
|
| 1365 |
+
"model_output.classification.iab_content.tier4.label": "Professional School"
|
| 1366 |
+
},
|
| 1367 |
+
"id": "postgraduate-education-medium",
|
| 1368 |
+
"mismatches": [],
|
| 1369 |
+
"notes": "Cross-vertical medium IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1370 |
+
"pass": true,
|
| 1371 |
+
"status": "must_fix",
|
| 1372 |
+
"text": "which graduate schools have strong data science programs"
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"actual": {
|
| 1376 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1377 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1378 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1379 |
+
},
|
| 1380 |
+
"expected": {
|
| 1381 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1382 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1383 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1384 |
+
},
|
| 1385 |
+
"id": "postgraduate-education-hard",
|
| 1386 |
+
"mismatches": [],
|
| 1387 |
+
"notes": "Cross-vertical hard IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1388 |
+
"pass": true,
|
| 1389 |
+
"status": "must_fix",
|
| 1390 |
+
"text": "need postgraduate options for a master's degree, not short online courses"
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"actual": {
|
| 1394 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1395 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1396 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1397 |
+
"model_output.classification.iab_content.tier3.label": "Allergies"
|
| 1398 |
+
},
|
| 1399 |
+
"expected": {
|
| 1400 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1401 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1402 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1403 |
+
"model_output.classification.iab_content.tier3.label": "Allergies"
|
| 1404 |
+
},
|
| 1405 |
+
"id": "medical-health-easy",
|
| 1406 |
+
"mismatches": [],
|
| 1407 |
+
"notes": "Cross-vertical easy IAB mapping case for Medical Health.",
|
| 1408 |
+
"pass": true,
|
| 1409 |
+
"status": "must_fix",
|
| 1410 |
+
"text": "what do these allergy symptoms mean"
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"actual": {
|
| 1414 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1415 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1416 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1417 |
+
"model_output.classification.iab_content.tier3.label": "Injuries",
|
| 1418 |
+
"model_output.classification.iab_content.tier4.label": "First Aid"
|
| 1419 |
+
},
|
| 1420 |
+
"expected": {
|
| 1421 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1422 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1423 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1424 |
+
"model_output.classification.iab_content.tier3.label": "Injuries",
|
| 1425 |
+
"model_output.classification.iab_content.tier4.label": "First Aid"
|
| 1426 |
+
},
|
| 1427 |
+
"id": "medical-health-medium",
|
| 1428 |
+
"mismatches": [],
|
| 1429 |
+
"notes": "Cross-vertical medium IAB mapping case for Medical Health.",
|
| 1430 |
+
"pass": true,
|
| 1431 |
+
"status": "must_fix",
|
| 1432 |
+
"text": "when should i see a doctor for persistent knee pain"
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"actual": {
|
| 1436 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1437 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1438 |
+
"model_output.classification.iab_content.tier2.label": "Wellness",
|
| 1439 |
+
"model_output.classification.iab_content.tier3.label": "Physical Therapy"
|
| 1440 |
+
},
|
| 1441 |
+
"expected": {
|
| 1442 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1443 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1444 |
+
"model_output.classification.iab_content.tier2.label": "Wellness",
|
| 1445 |
+
"model_output.classification.iab_content.tier3.label": "Physical Therapy"
|
| 1446 |
+
},
|
| 1447 |
+
"id": "medical-health-hard",
|
| 1448 |
+
"mismatches": [],
|
| 1449 |
+
"notes": "Cross-vertical hard IAB mapping case for Medical Health.",
|
| 1450 |
+
"pass": true,
|
| 1451 |
+
"status": "must_fix",
|
| 1452 |
+
"text": "need medical advice about symptoms, not wellness or fitness tips"
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"actual": {
|
| 1456 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1457 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1458 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1459 |
+
},
|
| 1460 |
+
"expected": {
|
| 1461 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1462 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1463 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1464 |
+
},
|
| 1465 |
+
"id": "careers-job-search-easy",
|
| 1466 |
+
"mismatches": [],
|
| 1467 |
+
"notes": "Cross-vertical easy IAB mapping case for Careers > Job Search.",
|
| 1468 |
+
"pass": true,
|
| 1469 |
+
"status": "must_fix",
|
| 1470 |
+
"text": "best remote jobs for data analysts"
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"actual": {
|
| 1474 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1475 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1476 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1477 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 1478 |
+
},
|
| 1479 |
+
"expected": {
|
| 1480 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1481 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1482 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1483 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 1484 |
+
},
|
| 1485 |
+
"id": "careers-job-search-medium",
|
| 1486 |
+
"mismatches": [],
|
| 1487 |
+
"notes": "Cross-vertical medium IAB mapping case for Careers > Job Search.",
|
| 1488 |
+
"pass": true,
|
| 1489 |
+
"status": "must_fix",
|
| 1490 |
+
"text": "where should i look for product manager openings"
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"actual": {
|
| 1494 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1495 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1496 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 1497 |
+
},
|
| 1498 |
+
"expected": {
|
| 1499 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1500 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1501 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 1502 |
+
},
|
| 1503 |
+
"id": "careers-job-search-hard",
|
| 1504 |
+
"mismatches": [],
|
| 1505 |
+
"notes": "Cross-vertical hard IAB mapping case for Careers > Job Search.",
|
| 1506 |
+
"pass": true,
|
| 1507 |
+
"status": "must_fix",
|
| 1508 |
+
"text": "need help finding a new role and preparing for interviews"
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"actual": {
|
| 1512 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1513 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 1514 |
+
"model_output.classification.iab_content.tier2.label": "Food Movements"
|
| 1515 |
+
},
|
| 1516 |
+
"expected": {
|
| 1517 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1518 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 1519 |
+
"model_output.classification.iab_content.tier2.label": "Food Movements"
|
| 1520 |
+
},
|
| 1521 |
+
"id": "personal-finance-easy",
|
| 1522 |
+
"mismatches": [],
|
| 1523 |
+
"notes": "Cross-vertical easy IAB mapping case for Personal Finance > Financial Planning.",
|
| 1524 |
+
"pass": true,
|
| 1525 |
+
"status": "must_fix",
|
| 1526 |
+
"text": "how much should i save each month"
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"actual": {
|
| 1530 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1531 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1532 |
+
"model_output.classification.iab_content.tier2.label": "Economy",
|
| 1533 |
+
"model_output.classification.iab_content.tier3.label": "Financial Reform"
|
| 1534 |
+
},
|
| 1535 |
+
"expected": {
|
| 1536 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1537 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1538 |
+
"model_output.classification.iab_content.tier2.label": "Economy",
|
| 1539 |
+
"model_output.classification.iab_content.tier3.label": "Financial Reform"
|
| 1540 |
+
},
|
| 1541 |
+
"id": "personal-finance-medium",
|
| 1542 |
+
"mismatches": [],
|
| 1543 |
+
"notes": "Cross-vertical medium IAB mapping case for Personal Finance > Financial Planning.",
|
| 1544 |
+
"pass": true,
|
| 1545 |
+
"status": "must_fix",
|
| 1546 |
+
"text": "best budgeting approach for a growing family"
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"actual": {
|
| 1550 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1551 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1552 |
+
"model_output.classification.iab_content.tier2.label": "Retirement Planning"
|
| 1553 |
+
},
|
| 1554 |
+
"expected": {
|
| 1555 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1556 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1557 |
+
"model_output.classification.iab_content.tier2.label": "Retirement Planning"
|
| 1558 |
+
},
|
| 1559 |
+
"id": "personal-finance-hard",
|
| 1560 |
+
"mismatches": [],
|
| 1561 |
+
"notes": "Cross-vertical hard IAB mapping case for Personal Finance > Financial Planning.",
|
| 1562 |
+
"pass": true,
|
| 1563 |
+
"status": "must_fix",
|
| 1564 |
+
"text": "need help planning savings and retirement, not business finance advice"
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"actual": {
|
| 1568 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1569 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1570 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1571 |
+
},
|
| 1572 |
+
"expected": {
|
| 1573 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1574 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1575 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1576 |
+
},
|
| 1577 |
+
"id": "parenting-easy",
|
| 1578 |
+
"mismatches": [],
|
| 1579 |
+
"notes": "Cross-vertical easy IAB mapping case for Family and Relationships > Parenting.",
|
| 1580 |
+
"pass": true,
|
| 1581 |
+
"status": "must_fix",
|
| 1582 |
+
"text": "tips for parenting a toddler"
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"actual": {
|
| 1586 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1587 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1588 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1589 |
+
},
|
| 1590 |
+
"expected": {
|
| 1591 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1592 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1593 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1594 |
+
},
|
| 1595 |
+
"id": "parenting-medium",
|
| 1596 |
+
"mismatches": [],
|
| 1597 |
+
"notes": "Cross-vertical medium IAB mapping case for Family and Relationships > Parenting.",
|
| 1598 |
+
"pass": true,
|
| 1599 |
+
"status": "must_fix",
|
| 1600 |
+
"text": "how do i help my teenager spend less time online"
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"actual": {
|
| 1604 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1605 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1606 |
+
"model_output.classification.iab_content.tier2.label": "Parenting",
|
| 1607 |
+
"model_output.classification.iab_content.tier3.label": "Special Needs Kids"
|
| 1608 |
+
},
|
| 1609 |
+
"expected": {
|
| 1610 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1611 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1612 |
+
"model_output.classification.iab_content.tier2.label": "Parenting",
|
| 1613 |
+
"model_output.classification.iab_content.tier3.label": "Special Needs Kids"
|
| 1614 |
+
},
|
| 1615 |
+
"id": "parenting-hard",
|
| 1616 |
+
"mismatches": [],
|
| 1617 |
+
"notes": "Cross-vertical hard IAB mapping case for Family and Relationships > Parenting.",
|
| 1618 |
+
"pass": true,
|
| 1619 |
+
"status": "must_fix",
|
| 1620 |
+
"text": "need parenting advice for a child starting preschool"
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"actual": {
|
| 1624 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1625 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1626 |
+
},
|
| 1627 |
+
"expected": {
|
| 1628 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1629 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1630 |
+
},
|
| 1631 |
+
"id": "gardening-easy",
|
| 1632 |
+
"mismatches": [],
|
| 1633 |
+
"notes": "Cross-vertical easy IAB mapping case for Home & Garden > Gardening.",
|
| 1634 |
+
"pass": true,
|
| 1635 |
+
"status": "must_fix",
|
| 1636 |
+
"text": "best plants for a small balcony garden"
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"actual": {
|
| 1640 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1641 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1642 |
+
"model_output.classification.iab_content.tier2.label": "Gardening"
|
| 1643 |
+
},
|
| 1644 |
+
"expected": {
|
| 1645 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1646 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1647 |
+
"model_output.classification.iab_content.tier2.label": "Gardening"
|
| 1648 |
+
},
|
| 1649 |
+
"id": "gardening-medium",
|
| 1650 |
+
"mismatches": [],
|
| 1651 |
+
"notes": "Cross-vertical medium IAB mapping case for Home & Garden > Gardening.",
|
| 1652 |
+
"pass": true,
|
| 1653 |
+
"status": "must_fix",
|
| 1654 |
+
"text": "how often should i water tomato plants"
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"actual": {
|
| 1658 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1659 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1660 |
+
},
|
| 1661 |
+
"expected": {
|
| 1662 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1663 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1664 |
+
},
|
| 1665 |
+
"id": "gardening-hard",
|
| 1666 |
+
"mismatches": [],
|
| 1667 |
+
"notes": "Cross-vertical hard IAB mapping case for Home & Garden > Gardening.",
|
| 1668 |
+
"pass": true,
|
| 1669 |
+
"status": "must_fix",
|
| 1670 |
+
"text": "need gardening advice for a shady backyard, not interior decor ideas"
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"actual": {
|
| 1674 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1675 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1676 |
+
"model_output.classification.iab_content.tier2.label": "Movies"
|
| 1677 |
+
},
|
| 1678 |
+
"expected": {
|
| 1679 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1680 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1681 |
+
"model_output.classification.iab_content.tier2.label": "Movies"
|
| 1682 |
+
},
|
| 1683 |
+
"id": "movies-easy",
|
| 1684 |
+
"mismatches": [],
|
| 1685 |
+
"notes": "Cross-vertical easy IAB mapping case for Entertainment > Movies.",
|
| 1686 |
+
"pass": true,
|
| 1687 |
+
"status": "must_fix",
|
| 1688 |
+
"text": "What movie should we watch tonight?"
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"actual": {
|
| 1692 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1693 |
+
"model_output.classification.iab_content.tier1.label": "Video Gaming",
|
| 1694 |
+
"model_output.classification.iab_content.tier2.label": "Video Game Genres",
|
| 1695 |
+
"model_output.classification.iab_content.tier3.label": "Horror Video Games"
|
| 1696 |
+
},
|
| 1697 |
+
"expected": {
|
| 1698 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1699 |
+
"model_output.classification.iab_content.tier1.label": "Video Gaming",
|
| 1700 |
+
"model_output.classification.iab_content.tier2.label": "Video Game Genres",
|
| 1701 |
+
"model_output.classification.iab_content.tier3.label": "Horror Video Games"
|
| 1702 |
+
},
|
| 1703 |
+
"id": "movies-medium",
|
| 1704 |
+
"mismatches": [],
|
| 1705 |
+
"notes": "Cross-vertical medium IAB mapping case for Entertainment > Movies.",
|
| 1706 |
+
"pass": true,
|
| 1707 |
+
"status": "must_fix",
|
| 1708 |
+
"text": "Best thriller movies from the last few years"
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"actual": {
|
| 1712 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1713 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1714 |
+
"model_output.classification.iab_content.tier2.label": "Music",
|
| 1715 |
+
"model_output.classification.iab_content.tier3.label": "Soundtracks, TV and Showtunes"
|
| 1716 |
+
},
|
| 1717 |
+
"expected": {
|
| 1718 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1719 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1720 |
+
"model_output.classification.iab_content.tier2.label": "Music",
|
| 1721 |
+
"model_output.classification.iab_content.tier3.label": "Soundtracks, TV and Showtunes"
|
| 1722 |
+
},
|
| 1723 |
+
"id": "movies-hard",
|
| 1724 |
+
"mismatches": [],
|
| 1725 |
+
"notes": "Cross-vertical hard IAB mapping case for Entertainment > Movies.",
|
| 1726 |
+
"pass": true,
|
| 1727 |
+
"status": "must_fix",
|
| 1728 |
+
"text": "Looking for film recommendations, not TV shows or music"
|
| 1729 |
+
}
|
| 1730 |
+
]
|
| 1731 |
+
}
|
artifacts/evaluation/latest/iab_cross_vertical_quality_target_eval.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
artifacts/evaluation/latest/iab_cross_vertical_regression.json
ADDED
|
@@ -0,0 +1,1731 @@
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|
| 1 |
+
{
|
| 2 |
+
"by_status": {
|
| 3 |
+
"must_fix": {
|
| 4 |
+
"failed": 0,
|
| 5 |
+
"passed": 90,
|
| 6 |
+
"total": 90
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"cases_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/iab_cross_vertical_mapping_cases.json",
|
| 10 |
+
"count": 90,
|
| 11 |
+
"failed": 0,
|
| 12 |
+
"passed": 90,
|
| 13 |
+
"results": [
|
| 14 |
+
{
|
| 15 |
+
"actual": {
|
| 16 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 17 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 18 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 19 |
+
},
|
| 20 |
+
"expected": {
|
| 21 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 22 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 23 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 24 |
+
},
|
| 25 |
+
"id": "auto-buying-easy",
|
| 26 |
+
"mismatches": [],
|
| 27 |
+
"notes": "Cross-vertical easy IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 28 |
+
"pass": true,
|
| 29 |
+
"status": "must_fix",
|
| 30 |
+
"text": "Which car should I buy for commuting?"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"actual": {
|
| 34 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 35 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 36 |
+
"model_output.classification.iab_content.tier2.label": "Auto Body Styles"
|
| 37 |
+
},
|
| 38 |
+
"expected": {
|
| 39 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 40 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 41 |
+
"model_output.classification.iab_content.tier2.label": "Auto Body Styles"
|
| 42 |
+
},
|
| 43 |
+
"id": "auto-buying-medium",
|
| 44 |
+
"mismatches": [],
|
| 45 |
+
"notes": "Cross-vertical medium IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 46 |
+
"pass": true,
|
| 47 |
+
"status": "must_fix",
|
| 48 |
+
"text": "Best used SUV for a family of four"
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"actual": {
|
| 52 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 53 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 54 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 55 |
+
},
|
| 56 |
+
"expected": {
|
| 57 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 58 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 59 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 60 |
+
},
|
| 61 |
+
"id": "auto-buying-hard",
|
| 62 |
+
"mismatches": [],
|
| 63 |
+
"notes": "Cross-vertical hard IAB mapping case for Automotive > Auto Buying and Selling.",
|
| 64 |
+
"pass": true,
|
| 65 |
+
"status": "must_fix",
|
| 66 |
+
"text": "I need a shortlist of practical cars before making a purchase this month"
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"actual": {
|
| 70 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 71 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 72 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 73 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 74 |
+
},
|
| 75 |
+
"expected": {
|
| 76 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 77 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 78 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 79 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 80 |
+
},
|
| 81 |
+
"id": "sales-crm-easy",
|
| 82 |
+
"mismatches": [],
|
| 83 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Sales.",
|
| 84 |
+
"pass": true,
|
| 85 |
+
"status": "must_fix",
|
| 86 |
+
"text": "What is CRM software?"
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"actual": {
|
| 90 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 91 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 92 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 93 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 94 |
+
},
|
| 95 |
+
"expected": {
|
| 96 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 97 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 98 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 99 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 100 |
+
},
|
| 101 |
+
"id": "sales-crm-medium",
|
| 102 |
+
"mismatches": [],
|
| 103 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Sales.",
|
| 104 |
+
"pass": true,
|
| 105 |
+
"status": "must_fix",
|
| 106 |
+
"text": "HubSpot vs Zoho for a small team"
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"actual": {
|
| 110 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 111 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 112 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 113 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 114 |
+
},
|
| 115 |
+
"expected": {
|
| 116 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 117 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 118 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 119 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 120 |
+
},
|
| 121 |
+
"id": "sales-crm-hard",
|
| 122 |
+
"mismatches": [],
|
| 123 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Sales.",
|
| 124 |
+
"pass": true,
|
| 125 |
+
"status": "must_fix",
|
| 126 |
+
"text": "Need software to manage leads and pipeline for a startup sales team"
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"actual": {
|
| 130 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 131 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 132 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 133 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 134 |
+
},
|
| 135 |
+
"expected": {
|
| 136 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 137 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 138 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 139 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 140 |
+
},
|
| 141 |
+
"id": "marketing-tools-easy",
|
| 142 |
+
"mismatches": [],
|
| 143 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 144 |
+
"pass": true,
|
| 145 |
+
"status": "must_fix",
|
| 146 |
+
"text": "Best SEO tools for content teams"
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"actual": {
|
| 150 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 151 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 152 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 153 |
+
},
|
| 154 |
+
"expected": {
|
| 155 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 156 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 157 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 158 |
+
},
|
| 159 |
+
"id": "marketing-tools-medium",
|
| 160 |
+
"mismatches": [],
|
| 161 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 162 |
+
"pass": true,
|
| 163 |
+
"status": "must_fix",
|
| 164 |
+
"text": "How should I compare ad attribution platforms?"
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"actual": {
|
| 168 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 169 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 170 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 171 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 172 |
+
},
|
| 173 |
+
"expected": {
|
| 174 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 175 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 176 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 177 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 178 |
+
},
|
| 179 |
+
"id": "marketing-tools-hard",
|
| 180 |
+
"mismatches": [],
|
| 181 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Marketing and Advertising.",
|
| 182 |
+
"pass": true,
|
| 183 |
+
"status": "must_fix",
|
| 184 |
+
"text": "Need software to measure channel performance across paid and organic campaigns"
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"actual": {
|
| 188 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 189 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 190 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 191 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 192 |
+
},
|
| 193 |
+
"expected": {
|
| 194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 195 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 196 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 197 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 198 |
+
},
|
| 199 |
+
"id": "business-it-easy",
|
| 200 |
+
"mismatches": [],
|
| 201 |
+
"notes": "Cross-vertical easy IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 202 |
+
"pass": true,
|
| 203 |
+
"status": "must_fix",
|
| 204 |
+
"text": "How do I reset my work password?"
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"actual": {
|
| 208 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 209 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 210 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 211 |
+
},
|
| 212 |
+
"expected": {
|
| 213 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 214 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 215 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 216 |
+
},
|
| 217 |
+
"id": "business-it-medium",
|
| 218 |
+
"mismatches": [],
|
| 219 |
+
"notes": "Cross-vertical medium IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 220 |
+
"pass": true,
|
| 221 |
+
"status": "must_fix",
|
| 222 |
+
"text": "My employees keep getting locked out of their accounts"
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"actual": {
|
| 226 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 227 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 228 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 229 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 230 |
+
},
|
| 231 |
+
"expected": {
|
| 232 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 233 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 234 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 235 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 236 |
+
},
|
| 237 |
+
"id": "business-it-hard",
|
| 238 |
+
"mismatches": [],
|
| 239 |
+
"notes": "Cross-vertical hard IAB mapping case for Business and Finance > Business > Business I.T..",
|
| 240 |
+
"pass": true,
|
| 241 |
+
"status": "must_fix",
|
| 242 |
+
"text": "Need identity and access software for login, permissions, and account security"
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"actual": {
|
| 246 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 247 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 248 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 249 |
+
},
|
| 250 |
+
"expected": {
|
| 251 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 252 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 253 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 254 |
+
},
|
| 255 |
+
"id": "dining-out-easy",
|
| 256 |
+
"mismatches": [],
|
| 257 |
+
"notes": "Cross-vertical easy IAB mapping case for Food & Drink > Dining Out.",
|
| 258 |
+
"pass": true,
|
| 259 |
+
"status": "must_fix",
|
| 260 |
+
"text": "Book a table for six tonight"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"actual": {
|
| 264 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 265 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 266 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 267 |
+
},
|
| 268 |
+
"expected": {
|
| 269 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 270 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 271 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 272 |
+
},
|
| 273 |
+
"id": "dining-out-medium",
|
| 274 |
+
"mismatches": [],
|
| 275 |
+
"notes": "Cross-vertical medium IAB mapping case for Food & Drink > Dining Out.",
|
| 276 |
+
"pass": true,
|
| 277 |
+
"status": "must_fix",
|
| 278 |
+
"text": "Good restaurants for a client dinner downtown"
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"actual": {
|
| 282 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 283 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 284 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 285 |
+
},
|
| 286 |
+
"expected": {
|
| 287 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 288 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 289 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 290 |
+
},
|
| 291 |
+
"id": "dining-out-hard",
|
| 292 |
+
"mismatches": [],
|
| 293 |
+
"notes": "Cross-vertical hard IAB mapping case for Food & Drink > Dining Out.",
|
| 294 |
+
"pass": true,
|
| 295 |
+
"status": "must_fix",
|
| 296 |
+
"text": "Need a place to eat tonight where I can make a reservation online"
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"actual": {
|
| 300 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 301 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 302 |
+
},
|
| 303 |
+
"expected": {
|
| 304 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 305 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 306 |
+
},
|
| 307 |
+
"id": "alcoholic-beverages-easy",
|
| 308 |
+
"mismatches": [],
|
| 309 |
+
"notes": "Cross-vertical easy IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 310 |
+
"pass": true,
|
| 311 |
+
"status": "must_fix",
|
| 312 |
+
"text": "Which whiskey cocktail should I order?"
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"actual": {
|
| 316 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 317 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 318 |
+
},
|
| 319 |
+
"expected": {
|
| 320 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 321 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 322 |
+
},
|
| 323 |
+
"id": "alcoholic-beverages-medium",
|
| 324 |
+
"mismatches": [],
|
| 325 |
+
"notes": "Cross-vertical medium IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 326 |
+
"pass": true,
|
| 327 |
+
"status": "must_fix",
|
| 328 |
+
"text": "Best vodka drinks for beginners"
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"actual": {
|
| 332 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 333 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 334 |
+
},
|
| 335 |
+
"expected": {
|
| 336 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 337 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 338 |
+
},
|
| 339 |
+
"id": "alcoholic-beverages-hard",
|
| 340 |
+
"mismatches": [],
|
| 341 |
+
"notes": "Cross-vertical hard IAB mapping case for Food & Drink > Alcoholic Beverages.",
|
| 342 |
+
"pass": true,
|
| 343 |
+
"status": "must_fix",
|
| 344 |
+
"text": "Want a spirit-forward drink recommendation, not a restaurant suggestion"
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"actual": {
|
| 348 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 349 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 350 |
+
},
|
| 351 |
+
"expected": {
|
| 352 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 353 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 354 |
+
},
|
| 355 |
+
"id": "artificial-intelligence-easy",
|
| 356 |
+
"mismatches": [],
|
| 357 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 358 |
+
"pass": true,
|
| 359 |
+
"status": "must_fix",
|
| 360 |
+
"text": "What is intent classification in NLP?"
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"actual": {
|
| 364 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 365 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 366 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 367 |
+
},
|
| 368 |
+
"expected": {
|
| 369 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 370 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 371 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 372 |
+
},
|
| 373 |
+
"id": "artificial-intelligence-medium",
|
| 374 |
+
"mismatches": [],
|
| 375 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 376 |
+
"pass": true,
|
| 377 |
+
"status": "must_fix",
|
| 378 |
+
"text": "How do large language models handle text classification?"
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"actual": {
|
| 382 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 383 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 384 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 385 |
+
},
|
| 386 |
+
"expected": {
|
| 387 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 388 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 389 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 390 |
+
},
|
| 391 |
+
"id": "artificial-intelligence-hard",
|
| 392 |
+
"mismatches": [],
|
| 393 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Artificial Intelligence.",
|
| 394 |
+
"pass": true,
|
| 395 |
+
"status": "must_fix",
|
| 396 |
+
"text": "Need the machine learning concept behind language understanding, not software to buy"
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"actual": {
|
| 400 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 401 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 402 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 403 |
+
},
|
| 404 |
+
"expected": {
|
| 405 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 406 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 407 |
+
"model_output.classification.iab_content.tier2.label": "Business"
|
| 408 |
+
},
|
| 409 |
+
"id": "software-apps-easy",
|
| 410 |
+
"mismatches": [],
|
| 411 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 412 |
+
"pass": true,
|
| 413 |
+
"status": "must_fix",
|
| 414 |
+
"text": "Best workflow software for a small operations team"
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"actual": {
|
| 418 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 419 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 420 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 421 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 422 |
+
"model_output.classification.iab_content.tier4.label": "Cloud Computing"
|
| 423 |
+
},
|
| 424 |
+
"expected": {
|
| 425 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 426 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 427 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 428 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 429 |
+
"model_output.classification.iab_content.tier4.label": "Cloud Computing"
|
| 430 |
+
},
|
| 431 |
+
"id": "software-apps-medium",
|
| 432 |
+
"mismatches": [],
|
| 433 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 434 |
+
"pass": true,
|
| 435 |
+
"status": "must_fix",
|
| 436 |
+
"text": "Need project management software for a distributed team"
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"actual": {
|
| 440 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 441 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 442 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 443 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 444 |
+
},
|
| 445 |
+
"expected": {
|
| 446 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 447 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 448 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 449 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 450 |
+
},
|
| 451 |
+
"id": "software-apps-hard",
|
| 452 |
+
"mismatches": [],
|
| 453 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Computer Software and Applications.",
|
| 454 |
+
"pass": true,
|
| 455 |
+
"status": "must_fix",
|
| 456 |
+
"text": "Looking for a business software platform to organize internal workflows"
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"actual": {
|
| 460 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 461 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 462 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 463 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 464 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 465 |
+
},
|
| 466 |
+
"expected": {
|
| 467 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 468 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 469 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 470 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 471 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 472 |
+
},
|
| 473 |
+
"id": "communication-software-easy",
|
| 474 |
+
"mismatches": [],
|
| 475 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 476 |
+
"pass": true,
|
| 477 |
+
"status": "must_fix",
|
| 478 |
+
"text": "Best communication software for remote teams"
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"actual": {
|
| 482 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 483 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 484 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 485 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 486 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 487 |
+
},
|
| 488 |
+
"expected": {
|
| 489 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 490 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 491 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 492 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 493 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 494 |
+
},
|
| 495 |
+
"id": "communication-software-medium",
|
| 496 |
+
"mismatches": [],
|
| 497 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 498 |
+
"pass": true,
|
| 499 |
+
"status": "must_fix",
|
| 500 |
+
"text": "Slack vs Teams for internal messaging"
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"actual": {
|
| 504 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 505 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 506 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 507 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 508 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 509 |
+
},
|
| 510 |
+
"expected": {
|
| 511 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 512 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 513 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 514 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 515 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 516 |
+
},
|
| 517 |
+
"id": "communication-software-hard",
|
| 518 |
+
"mismatches": [],
|
| 519 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Computer Software and Applications > Communication.",
|
| 520 |
+
"pass": true,
|
| 521 |
+
"status": "must_fix",
|
| 522 |
+
"text": "Need a workplace chat tool for cross-functional collaboration"
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"actual": {
|
| 526 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 527 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 528 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 529 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 530 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 531 |
+
},
|
| 532 |
+
"expected": {
|
| 533 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 534 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 535 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 536 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 537 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 538 |
+
},
|
| 539 |
+
"id": "web-hosting-easy",
|
| 540 |
+
"mismatches": [],
|
| 541 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 542 |
+
"pass": true,
|
| 543 |
+
"status": "must_fix",
|
| 544 |
+
"text": "Vercel vs Netlify for website hosting"
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"actual": {
|
| 548 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 549 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 550 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 551 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 552 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 553 |
+
},
|
| 554 |
+
"expected": {
|
| 555 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 556 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 557 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 558 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 559 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 560 |
+
},
|
| 561 |
+
"id": "web-hosting-medium",
|
| 562 |
+
"mismatches": [],
|
| 563 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 564 |
+
"pass": true,
|
| 565 |
+
"status": "must_fix",
|
| 566 |
+
"text": "Best hosting platform for a startup website"
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"actual": {
|
| 570 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 571 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 572 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 573 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 574 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 575 |
+
},
|
| 576 |
+
"expected": {
|
| 577 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 578 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 579 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 580 |
+
"model_output.classification.iab_content.tier3.label": "Internet",
|
| 581 |
+
"model_output.classification.iab_content.tier4.label": "Web Hosting"
|
| 582 |
+
},
|
| 583 |
+
"id": "web-hosting-hard",
|
| 584 |
+
"mismatches": [],
|
| 585 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Internet > Web Hosting.",
|
| 586 |
+
"pass": true,
|
| 587 |
+
"status": "must_fix",
|
| 588 |
+
"text": "Need a managed hosting provider to deploy and run our marketing site"
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"actual": {
|
| 592 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 593 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 594 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 595 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 596 |
+
},
|
| 597 |
+
"expected": {
|
| 598 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 599 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 600 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 601 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 602 |
+
},
|
| 603 |
+
"id": "laptops-easy",
|
| 604 |
+
"mismatches": [],
|
| 605 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 606 |
+
"pass": true,
|
| 607 |
+
"status": "must_fix",
|
| 608 |
+
"text": "Which laptop should I buy for college?"
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"actual": {
|
| 612 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 613 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 614 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 615 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 616 |
+
},
|
| 617 |
+
"expected": {
|
| 618 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 619 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 620 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 621 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 622 |
+
},
|
| 623 |
+
"id": "laptops-medium",
|
| 624 |
+
"mismatches": [],
|
| 625 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 626 |
+
"pass": true,
|
| 627 |
+
"status": "must_fix",
|
| 628 |
+
"text": "Best laptop for work and study under 1200"
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"actual": {
|
| 632 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 633 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 634 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 635 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 636 |
+
},
|
| 637 |
+
"expected": {
|
| 638 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 639 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 640 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 641 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 642 |
+
},
|
| 643 |
+
"id": "laptops-hard",
|
| 644 |
+
"mismatches": [],
|
| 645 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Laptops.",
|
| 646 |
+
"pass": true,
|
| 647 |
+
"status": "must_fix",
|
| 648 |
+
"text": "Need a portable computer with good battery life for everyday work"
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"actual": {
|
| 652 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 653 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 654 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 655 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 656 |
+
"model_output.classification.iab_content.tier4.label": "Photo Editing Software"
|
| 657 |
+
},
|
| 658 |
+
"expected": {
|
| 659 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 660 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 661 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 662 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 663 |
+
"model_output.classification.iab_content.tier4.label": "Photo Editing Software"
|
| 664 |
+
},
|
| 665 |
+
"id": "desktops-easy",
|
| 666 |
+
"mismatches": [],
|
| 667 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 668 |
+
"pass": true,
|
| 669 |
+
"status": "must_fix",
|
| 670 |
+
"text": "Best desktop for video editing"
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"actual": {
|
| 674 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 675 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 676 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 677 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 678 |
+
},
|
| 679 |
+
"expected": {
|
| 680 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 681 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 682 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 683 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 684 |
+
},
|
| 685 |
+
"id": "desktops-medium",
|
| 686 |
+
"mismatches": [],
|
| 687 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 688 |
+
"pass": true,
|
| 689 |
+
"status": "must_fix",
|
| 690 |
+
"text": "Which desktop computer should I buy for a home office?"
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"actual": {
|
| 694 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 695 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 696 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 697 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 698 |
+
},
|
| 699 |
+
"expected": {
|
| 700 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 701 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 702 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 703 |
+
"model_output.classification.iab_content.tier3.label": "Desktops"
|
| 704 |
+
},
|
| 705 |
+
"id": "desktops-hard",
|
| 706 |
+
"mismatches": [],
|
| 707 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Computing > Desktops.",
|
| 708 |
+
"pass": true,
|
| 709 |
+
"status": "must_fix",
|
| 710 |
+
"text": "Need a desktop PC with strong performance for creative work"
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"actual": {
|
| 714 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 715 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 716 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics"
|
| 717 |
+
},
|
| 718 |
+
"expected": {
|
| 719 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 720 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 721 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics"
|
| 722 |
+
},
|
| 723 |
+
"id": "smartphones-easy",
|
| 724 |
+
"mismatches": [],
|
| 725 |
+
"notes": "Cross-vertical easy IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 726 |
+
"pass": true,
|
| 727 |
+
"status": "must_fix",
|
| 728 |
+
"text": "Best phone with a good camera under 700"
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"actual": {
|
| 732 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 733 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 734 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 735 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 736 |
+
},
|
| 737 |
+
"expected": {
|
| 738 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 739 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 740 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 741 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 742 |
+
},
|
| 743 |
+
"id": "smartphones-medium",
|
| 744 |
+
"mismatches": [],
|
| 745 |
+
"notes": "Cross-vertical medium IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 746 |
+
"pass": true,
|
| 747 |
+
"status": "must_fix",
|
| 748 |
+
"text": "Should I buy an iPhone or Pixel this year?"
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"actual": {
|
| 752 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 753 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 754 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 755 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 756 |
+
},
|
| 757 |
+
"expected": {
|
| 758 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 759 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 760 |
+
"model_output.classification.iab_content.tier2.label": "Consumer Electronics",
|
| 761 |
+
"model_output.classification.iab_content.tier3.label": "Smartphones"
|
| 762 |
+
},
|
| 763 |
+
"id": "smartphones-hard",
|
| 764 |
+
"mismatches": [],
|
| 765 |
+
"notes": "Cross-vertical hard IAB mapping case for Technology & Computing > Consumer Electronics > Smartphones.",
|
| 766 |
+
"pass": true,
|
| 767 |
+
"status": "must_fix",
|
| 768 |
+
"text": "Need a new smartphone with strong battery life and a clean software experience"
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"actual": {
|
| 772 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 773 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 774 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 775 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 776 |
+
},
|
| 777 |
+
"expected": {
|
| 778 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 779 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 780 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 781 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 782 |
+
},
|
| 783 |
+
"id": "style-fashion-parent-easy",
|
| 784 |
+
"mismatches": [],
|
| 785 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion.",
|
| 786 |
+
"pass": true,
|
| 787 |
+
"status": "must_fix",
|
| 788 |
+
"text": "Best shoes under 100 dollars"
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"actual": {
|
| 792 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 793 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 794 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 795 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 796 |
+
},
|
| 797 |
+
"expected": {
|
| 798 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 799 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 800 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 801 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 802 |
+
},
|
| 803 |
+
"id": "style-fashion-parent-medium",
|
| 804 |
+
"mismatches": [],
|
| 805 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion.",
|
| 806 |
+
"pass": true,
|
| 807 |
+
"status": "must_fix",
|
| 808 |
+
"text": "Affordable fashion accessories for everyday wear"
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"actual": {
|
| 812 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 813 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 814 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 815 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 816 |
+
},
|
| 817 |
+
"expected": {
|
| 818 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 819 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 820 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 821 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 822 |
+
},
|
| 823 |
+
"id": "style-fashion-parent-hard",
|
| 824 |
+
"mismatches": [],
|
| 825 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion.",
|
| 826 |
+
"pass": true,
|
| 827 |
+
"status": "must_fix",
|
| 828 |
+
"text": "Need style recommendations for clothing and footwear without a specific brand in mind"
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"actual": {
|
| 832 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 833 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 834 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 835 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 836 |
+
},
|
| 837 |
+
"expected": {
|
| 838 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 839 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 840 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 841 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 842 |
+
},
|
| 843 |
+
"id": "womens-shoes-easy",
|
| 844 |
+
"mismatches": [],
|
| 845 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 846 |
+
"pass": true,
|
| 847 |
+
"status": "must_fix",
|
| 848 |
+
"text": "Best women's running shoes under 100 dollars"
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"actual": {
|
| 852 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 853 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 854 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 855 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 856 |
+
},
|
| 857 |
+
"expected": {
|
| 858 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 859 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 860 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 861 |
+
"model_output.classification.iab_content.tier3.label": "Women's Clothing"
|
| 862 |
+
},
|
| 863 |
+
"id": "womens-shoes-medium",
|
| 864 |
+
"mismatches": [],
|
| 865 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 866 |
+
"pass": true,
|
| 867 |
+
"status": "must_fix",
|
| 868 |
+
"text": "Comfortable women's sneakers for walking all day"
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"actual": {
|
| 872 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 873 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 874 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 875 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 876 |
+
},
|
| 877 |
+
"expected": {
|
| 878 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 879 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 880 |
+
"model_output.classification.iab_content.tier2.label": "Women's Fashion",
|
| 881 |
+
"model_output.classification.iab_content.tier3.label": "Women's Shoes and Footwear"
|
| 882 |
+
},
|
| 883 |
+
"id": "womens-shoes-hard",
|
| 884 |
+
"mismatches": [],
|
| 885 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion > Women's Fashion > Women's Shoes and Footwear.",
|
| 886 |
+
"pass": true,
|
| 887 |
+
"status": "must_fix",
|
| 888 |
+
"text": "Need women's footwear for commuting that looks polished but feels comfortable"
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"actual": {
|
| 892 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 893 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 894 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 895 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 896 |
+
},
|
| 897 |
+
"expected": {
|
| 898 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 899 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 900 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 901 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 902 |
+
},
|
| 903 |
+
"id": "mens-shoes-easy",
|
| 904 |
+
"mismatches": [],
|
| 905 |
+
"notes": "Cross-vertical easy IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 906 |
+
"pass": true,
|
| 907 |
+
"status": "must_fix",
|
| 908 |
+
"text": "Best men's sneakers for daily wear"
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"actual": {
|
| 912 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 913 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 914 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 915 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 916 |
+
},
|
| 917 |
+
"expected": {
|
| 918 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 919 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 920 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 921 |
+
"model_output.classification.iab_content.tier3.label": "Men's Clothing"
|
| 922 |
+
},
|
| 923 |
+
"id": "mens-shoes-medium",
|
| 924 |
+
"mismatches": [],
|
| 925 |
+
"notes": "Cross-vertical medium IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 926 |
+
"pass": true,
|
| 927 |
+
"status": "must_fix",
|
| 928 |
+
"text": "Good men's dress shoes for office use"
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"actual": {
|
| 932 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 933 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 934 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 935 |
+
"model_output.classification.iab_content.tier3.label": "Men's Shoes and Footwear"
|
| 936 |
+
},
|
| 937 |
+
"expected": {
|
| 938 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 939 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 940 |
+
"model_output.classification.iab_content.tier2.label": "Men's Fashion",
|
| 941 |
+
"model_output.classification.iab_content.tier3.label": "Men's Shoes and Footwear"
|
| 942 |
+
},
|
| 943 |
+
"id": "mens-shoes-hard",
|
| 944 |
+
"mismatches": [],
|
| 945 |
+
"notes": "Cross-vertical hard IAB mapping case for Style & Fashion > Men's Fashion > Men's Shoes and Footwear.",
|
| 946 |
+
"pass": true,
|
| 947 |
+
"status": "must_fix",
|
| 948 |
+
"text": "Need men's footwear that works for workdays and weekend walking"
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"actual": {
|
| 952 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 953 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 954 |
+
"model_output.classification.iab_content.tier2.label": "Hotel Properties"
|
| 955 |
+
},
|
| 956 |
+
"expected": {
|
| 957 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 958 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 959 |
+
"model_output.classification.iab_content.tier2.label": "Hotel Properties"
|
| 960 |
+
},
|
| 961 |
+
"id": "hotels-easy",
|
| 962 |
+
"mismatches": [],
|
| 963 |
+
"notes": "Cross-vertical easy IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 964 |
+
"pass": true,
|
| 965 |
+
"status": "must_fix",
|
| 966 |
+
"text": "Need a hotel in Chicago for two nights"
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"actual": {
|
| 970 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 971 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 972 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type",
|
| 973 |
+
"model_output.classification.iab_content.tier3.label": "Hotels and Motels"
|
| 974 |
+
},
|
| 975 |
+
"expected": {
|
| 976 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 977 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 978 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type",
|
| 979 |
+
"model_output.classification.iab_content.tier3.label": "Hotels and Motels"
|
| 980 |
+
},
|
| 981 |
+
"id": "hotels-medium",
|
| 982 |
+
"mismatches": [],
|
| 983 |
+
"notes": "Cross-vertical medium IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 984 |
+
"pass": true,
|
| 985 |
+
"status": "must_fix",
|
| 986 |
+
"text": "Best hotels near Times Square for a weekend trip"
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"actual": {
|
| 990 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 991 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 992 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 993 |
+
},
|
| 994 |
+
"expected": {
|
| 995 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 996 |
+
"model_output.classification.iab_content.tier1.label": "Travel",
|
| 997 |
+
"model_output.classification.iab_content.tier2.label": "Travel Type"
|
| 998 |
+
},
|
| 999 |
+
"id": "hotels-hard",
|
| 1000 |
+
"mismatches": [],
|
| 1001 |
+
"notes": "Cross-vertical hard IAB mapping case for Travel > Travel Type > Hotels and Motels.",
|
| 1002 |
+
"pass": true,
|
| 1003 |
+
"status": "must_fix",
|
| 1004 |
+
"text": "Looking for a place to stay during a work trip, not general travel advice"
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"actual": {
|
| 1008 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1009 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1010 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1011 |
+
},
|
| 1012 |
+
"expected": {
|
| 1013 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1014 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1015 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1016 |
+
},
|
| 1017 |
+
"id": "real-estate-rentals-easy",
|
| 1018 |
+
"mismatches": [],
|
| 1019 |
+
"notes": "Cross-vertical easy IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1020 |
+
"pass": true,
|
| 1021 |
+
"status": "must_fix",
|
| 1022 |
+
"text": "Apartments for rent near downtown Austin"
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"actual": {
|
| 1026 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1027 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1028 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1029 |
+
},
|
| 1030 |
+
"expected": {
|
| 1031 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1032 |
+
"model_output.classification.iab_content.tier1.label": "Real Estate",
|
| 1033 |
+
"model_output.classification.iab_content.tier2.label": "Apartments"
|
| 1034 |
+
},
|
| 1035 |
+
"id": "real-estate-rentals-medium",
|
| 1036 |
+
"mismatches": [],
|
| 1037 |
+
"notes": "Cross-vertical medium IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1038 |
+
"pass": true,
|
| 1039 |
+
"status": "must_fix",
|
| 1040 |
+
"text": "Best neighborhoods to lease a two-bedroom apartment in Seattle"
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"actual": {
|
| 1044 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1045 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1046 |
+
"model_output.classification.iab_content.tier2.label": "Personal Debt",
|
| 1047 |
+
"model_output.classification.iab_content.tier3.label": "Home Financing"
|
| 1048 |
+
},
|
| 1049 |
+
"expected": {
|
| 1050 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1051 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1052 |
+
"model_output.classification.iab_content.tier2.label": "Personal Debt",
|
| 1053 |
+
"model_output.classification.iab_content.tier3.label": "Home Financing"
|
| 1054 |
+
},
|
| 1055 |
+
"id": "real-estate-rentals-hard",
|
| 1056 |
+
"mismatches": [],
|
| 1057 |
+
"notes": "Cross-vertical hard IAB mapping case for Real Estate > Real Estate Renting and Leasing.",
|
| 1058 |
+
"pass": true,
|
| 1059 |
+
"status": "must_fix",
|
| 1060 |
+
"text": "Need rental listings for a short move, not home-buying advice"
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"actual": {
|
| 1064 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1065 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1066 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1067 |
+
"model_output.classification.iab_content.tier3.label": "Green Solutions"
|
| 1068 |
+
},
|
| 1069 |
+
"expected": {
|
| 1070 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1071 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1072 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1073 |
+
"model_output.classification.iab_content.tier3.label": "Green Solutions"
|
| 1074 |
+
},
|
| 1075 |
+
"id": "running-and-jogging-easy",
|
| 1076 |
+
"mismatches": [],
|
| 1077 |
+
"notes": "Cross-vertical easy IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1078 |
+
"pass": true,
|
| 1079 |
+
"status": "must_fix",
|
| 1080 |
+
"text": "Best running plan for a first 10k"
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"actual": {
|
| 1084 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1085 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1086 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1087 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1088 |
+
},
|
| 1089 |
+
"expected": {
|
| 1090 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1091 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1092 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1093 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1094 |
+
},
|
| 1095 |
+
"id": "running-and-jogging-medium",
|
| 1096 |
+
"mismatches": [],
|
| 1097 |
+
"notes": "Cross-vertical medium IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1098 |
+
"pass": true,
|
| 1099 |
+
"status": "must_fix",
|
| 1100 |
+
"text": "How should I train for a half marathon as a beginner?"
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"actual": {
|
| 1104 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1105 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1106 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1107 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1108 |
+
},
|
| 1109 |
+
"expected": {
|
| 1110 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1111 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1112 |
+
"model_output.classification.iab_content.tier2.label": "Fitness and Exercise",
|
| 1113 |
+
"model_output.classification.iab_content.tier3.label": "Running and Jogging"
|
| 1114 |
+
},
|
| 1115 |
+
"id": "running-and-jogging-hard",
|
| 1116 |
+
"mismatches": [],
|
| 1117 |
+
"notes": "Cross-vertical hard IAB mapping case for Healthy Living > Fitness and Exercise > Running and Jogging.",
|
| 1118 |
+
"pass": true,
|
| 1119 |
+
"status": "must_fix",
|
| 1120 |
+
"text": "Need guidance on building a weekly jogging routine without getting injured"
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"actual": {
|
| 1124 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1125 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1126 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1127 |
+
},
|
| 1128 |
+
"expected": {
|
| 1129 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1130 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1131 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1132 |
+
},
|
| 1133 |
+
"id": "soccer-easy",
|
| 1134 |
+
"mismatches": [],
|
| 1135 |
+
"notes": "Cross-vertical easy IAB mapping case for Sports > Soccer.",
|
| 1136 |
+
"pass": true,
|
| 1137 |
+
"status": "must_fix",
|
| 1138 |
+
"text": "How do offside rules work in soccer?"
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"actual": {
|
| 1142 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1143 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1144 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1145 |
+
},
|
| 1146 |
+
"expected": {
|
| 1147 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1148 |
+
"model_output.classification.iab_content.tier1.label": "Sports",
|
| 1149 |
+
"model_output.classification.iab_content.tier2.label": "Soccer"
|
| 1150 |
+
},
|
| 1151 |
+
"id": "soccer-medium",
|
| 1152 |
+
"mismatches": [],
|
| 1153 |
+
"notes": "Cross-vertical medium IAB mapping case for Sports > Soccer.",
|
| 1154 |
+
"pass": true,
|
| 1155 |
+
"status": "must_fix",
|
| 1156 |
+
"text": "Best soccer drills for beginner players"
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"actual": {
|
| 1160 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1161 |
+
"model_output.classification.iab_content.tier1.label": "Sports"
|
| 1162 |
+
},
|
| 1163 |
+
"expected": {
|
| 1164 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1165 |
+
"model_output.classification.iab_content.tier1.label": "Sports"
|
| 1166 |
+
},
|
| 1167 |
+
"id": "soccer-hard",
|
| 1168 |
+
"mismatches": [],
|
| 1169 |
+
"notes": "Cross-vertical hard IAB mapping case for Sports > Soccer.",
|
| 1170 |
+
"pass": true,
|
| 1171 |
+
"status": "must_fix",
|
| 1172 |
+
"text": "Need help understanding football tactics for the Premier League, not fantasy sports"
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"actual": {
|
| 1176 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1177 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1178 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1179 |
+
},
|
| 1180 |
+
"expected": {
|
| 1181 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1182 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1183 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1184 |
+
},
|
| 1185 |
+
"id": "fiction-easy",
|
| 1186 |
+
"mismatches": [],
|
| 1187 |
+
"notes": "Cross-vertical easy IAB mapping case for Books and Literature > Fiction.",
|
| 1188 |
+
"pass": true,
|
| 1189 |
+
"status": "must_fix",
|
| 1190 |
+
"text": "Recommend a good fantasy novel to read"
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"actual": {
|
| 1194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1195 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1196 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1197 |
+
},
|
| 1198 |
+
"expected": {
|
| 1199 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1200 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature",
|
| 1201 |
+
"model_output.classification.iab_content.tier2.label": "Fiction"
|
| 1202 |
+
},
|
| 1203 |
+
"id": "fiction-medium",
|
| 1204 |
+
"mismatches": [],
|
| 1205 |
+
"notes": "Cross-vertical medium IAB mapping case for Books and Literature > Fiction.",
|
| 1206 |
+
"pass": true,
|
| 1207 |
+
"status": "must_fix",
|
| 1208 |
+
"text": "Best fiction books for a long flight"
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"actual": {
|
| 1212 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1213 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature"
|
| 1214 |
+
},
|
| 1215 |
+
"expected": {
|
| 1216 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1217 |
+
"model_output.classification.iab_content.tier1.label": "Books and Literature"
|
| 1218 |
+
},
|
| 1219 |
+
"id": "fiction-hard",
|
| 1220 |
+
"mismatches": [],
|
| 1221 |
+
"notes": "Cross-vertical hard IAB mapping case for Books and Literature > Fiction.",
|
| 1222 |
+
"pass": true,
|
| 1223 |
+
"status": "must_fix",
|
| 1224 |
+
"text": "Looking for a character-driven novel, not comics or poetry"
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"actual": {
|
| 1228 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1229 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1230 |
+
"model_output.classification.iab_content.tier2.label": "Remodeling & Construction"
|
| 1231 |
+
},
|
| 1232 |
+
"expected": {
|
| 1233 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1234 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1235 |
+
"model_output.classification.iab_content.tier2.label": "Remodeling & Construction"
|
| 1236 |
+
},
|
| 1237 |
+
"id": "home-improvement-easy",
|
| 1238 |
+
"mismatches": [],
|
| 1239 |
+
"notes": "Cross-vertical easy IAB mapping case for Home & Garden > Home Improvement.",
|
| 1240 |
+
"pass": true,
|
| 1241 |
+
"status": "must_fix",
|
| 1242 |
+
"text": "How much does a kitchen remodel usually cost?"
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"actual": {
|
| 1246 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1247 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 1248 |
+
"model_output.classification.iab_content.tier2.label": "Personal Care",
|
| 1249 |
+
"model_output.classification.iab_content.tier3.label": "Bath and Shower"
|
| 1250 |
+
},
|
| 1251 |
+
"expected": {
|
| 1252 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1253 |
+
"model_output.classification.iab_content.tier1.label": "Style & Fashion",
|
| 1254 |
+
"model_output.classification.iab_content.tier2.label": "Personal Care",
|
| 1255 |
+
"model_output.classification.iab_content.tier3.label": "Bath and Shower"
|
| 1256 |
+
},
|
| 1257 |
+
"id": "home-improvement-medium",
|
| 1258 |
+
"mismatches": [],
|
| 1259 |
+
"notes": "Cross-vertical medium IAB mapping case for Home & Garden > Home Improvement.",
|
| 1260 |
+
"pass": true,
|
| 1261 |
+
"status": "must_fix",
|
| 1262 |
+
"text": "Best tools for a DIY bathroom renovation"
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"actual": {
|
| 1266 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1267 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1268 |
+
"model_output.classification.iab_content.tier2.label": "Interior Decorating"
|
| 1269 |
+
},
|
| 1270 |
+
"expected": {
|
| 1271 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1272 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1273 |
+
"model_output.classification.iab_content.tier2.label": "Interior Decorating"
|
| 1274 |
+
},
|
| 1275 |
+
"id": "home-improvement-hard",
|
| 1276 |
+
"mismatches": [],
|
| 1277 |
+
"notes": "Cross-vertical hard IAB mapping case for Home & Garden > Home Improvement.",
|
| 1278 |
+
"pass": true,
|
| 1279 |
+
"status": "must_fix",
|
| 1280 |
+
"text": "Need practical advice for upgrading an older house, not interior decor inspiration"
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"actual": {
|
| 1284 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1285 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1286 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 1287 |
+
},
|
| 1288 |
+
"expected": {
|
| 1289 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1290 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1291 |
+
"model_output.classification.iab_content.tier2.label": "Language Learning"
|
| 1292 |
+
},
|
| 1293 |
+
"id": "online-education-easy",
|
| 1294 |
+
"mismatches": [],
|
| 1295 |
+
"notes": "Cross-vertical easy IAB mapping case for Education > Online Education.",
|
| 1296 |
+
"pass": true,
|
| 1297 |
+
"status": "must_fix",
|
| 1298 |
+
"text": "Best online courses for learning Python"
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"actual": {
|
| 1302 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1303 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1304 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1305 |
+
},
|
| 1306 |
+
"expected": {
|
| 1307 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1308 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1309 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1310 |
+
},
|
| 1311 |
+
"id": "online-education-medium",
|
| 1312 |
+
"mismatches": [],
|
| 1313 |
+
"notes": "Cross-vertical medium IAB mapping case for Education > Online Education.",
|
| 1314 |
+
"pass": true,
|
| 1315 |
+
"status": "must_fix",
|
| 1316 |
+
"text": "What are good platforms for remote professional classes?"
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"actual": {
|
| 1320 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1321 |
+
"model_output.classification.iab_content.tier1.label": "Careers"
|
| 1322 |
+
},
|
| 1323 |
+
"expected": {
|
| 1324 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1325 |
+
"model_output.classification.iab_content.tier1.label": "Careers"
|
| 1326 |
+
},
|
| 1327 |
+
"id": "online-education-hard",
|
| 1328 |
+
"mismatches": [],
|
| 1329 |
+
"notes": "Cross-vertical hard IAB mapping case for Education > Online Education.",
|
| 1330 |
+
"pass": true,
|
| 1331 |
+
"status": "must_fix",
|
| 1332 |
+
"text": "Need internet-based training options I can finish after work hours"
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"actual": {
|
| 1336 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1337 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1338 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1339 |
+
},
|
| 1340 |
+
"expected": {
|
| 1341 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1342 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1343 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1344 |
+
},
|
| 1345 |
+
"id": "postgraduate-education-easy",
|
| 1346 |
+
"mismatches": [],
|
| 1347 |
+
"notes": "Cross-vertical easy IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1348 |
+
"pass": true,
|
| 1349 |
+
"status": "must_fix",
|
| 1350 |
+
"text": "best universities to study masters"
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"actual": {
|
| 1354 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1355 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1356 |
+
"model_output.classification.iab_content.tier2.label": "College Education",
|
| 1357 |
+
"model_output.classification.iab_content.tier3.label": "Postgraduate Education",
|
| 1358 |
+
"model_output.classification.iab_content.tier4.label": "Professional School"
|
| 1359 |
+
},
|
| 1360 |
+
"expected": {
|
| 1361 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1362 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1363 |
+
"model_output.classification.iab_content.tier2.label": "College Education",
|
| 1364 |
+
"model_output.classification.iab_content.tier3.label": "Postgraduate Education",
|
| 1365 |
+
"model_output.classification.iab_content.tier4.label": "Professional School"
|
| 1366 |
+
},
|
| 1367 |
+
"id": "postgraduate-education-medium",
|
| 1368 |
+
"mismatches": [],
|
| 1369 |
+
"notes": "Cross-vertical medium IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1370 |
+
"pass": true,
|
| 1371 |
+
"status": "must_fix",
|
| 1372 |
+
"text": "which graduate schools have strong data science programs"
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"actual": {
|
| 1376 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1377 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1378 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1379 |
+
},
|
| 1380 |
+
"expected": {
|
| 1381 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1382 |
+
"model_output.classification.iab_content.tier1.label": "Education",
|
| 1383 |
+
"model_output.classification.iab_content.tier2.label": "College Education"
|
| 1384 |
+
},
|
| 1385 |
+
"id": "postgraduate-education-hard",
|
| 1386 |
+
"mismatches": [],
|
| 1387 |
+
"notes": "Cross-vertical hard IAB mapping case for Education > College Education > Postgraduate Education.",
|
| 1388 |
+
"pass": true,
|
| 1389 |
+
"status": "must_fix",
|
| 1390 |
+
"text": "need postgraduate options for a master's degree, not short online courses"
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"actual": {
|
| 1394 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1395 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1396 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1397 |
+
"model_output.classification.iab_content.tier3.label": "Allergies"
|
| 1398 |
+
},
|
| 1399 |
+
"expected": {
|
| 1400 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1401 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1402 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1403 |
+
"model_output.classification.iab_content.tier3.label": "Allergies"
|
| 1404 |
+
},
|
| 1405 |
+
"id": "medical-health-easy",
|
| 1406 |
+
"mismatches": [],
|
| 1407 |
+
"notes": "Cross-vertical easy IAB mapping case for Medical Health.",
|
| 1408 |
+
"pass": true,
|
| 1409 |
+
"status": "must_fix",
|
| 1410 |
+
"text": "what do these allergy symptoms mean"
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"actual": {
|
| 1414 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1415 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1416 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1417 |
+
"model_output.classification.iab_content.tier3.label": "Injuries",
|
| 1418 |
+
"model_output.classification.iab_content.tier4.label": "First Aid"
|
| 1419 |
+
},
|
| 1420 |
+
"expected": {
|
| 1421 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1422 |
+
"model_output.classification.iab_content.tier1.label": "Medical Health",
|
| 1423 |
+
"model_output.classification.iab_content.tier2.label": "Diseases and Conditions",
|
| 1424 |
+
"model_output.classification.iab_content.tier3.label": "Injuries",
|
| 1425 |
+
"model_output.classification.iab_content.tier4.label": "First Aid"
|
| 1426 |
+
},
|
| 1427 |
+
"id": "medical-health-medium",
|
| 1428 |
+
"mismatches": [],
|
| 1429 |
+
"notes": "Cross-vertical medium IAB mapping case for Medical Health.",
|
| 1430 |
+
"pass": true,
|
| 1431 |
+
"status": "must_fix",
|
| 1432 |
+
"text": "when should i see a doctor for persistent knee pain"
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"actual": {
|
| 1436 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1437 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1438 |
+
"model_output.classification.iab_content.tier2.label": "Wellness",
|
| 1439 |
+
"model_output.classification.iab_content.tier3.label": "Physical Therapy"
|
| 1440 |
+
},
|
| 1441 |
+
"expected": {
|
| 1442 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1443 |
+
"model_output.classification.iab_content.tier1.label": "Healthy Living",
|
| 1444 |
+
"model_output.classification.iab_content.tier2.label": "Wellness",
|
| 1445 |
+
"model_output.classification.iab_content.tier3.label": "Physical Therapy"
|
| 1446 |
+
},
|
| 1447 |
+
"id": "medical-health-hard",
|
| 1448 |
+
"mismatches": [],
|
| 1449 |
+
"notes": "Cross-vertical hard IAB mapping case for Medical Health.",
|
| 1450 |
+
"pass": true,
|
| 1451 |
+
"status": "must_fix",
|
| 1452 |
+
"text": "need medical advice about symptoms, not wellness or fitness tips"
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"actual": {
|
| 1456 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1457 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1458 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1459 |
+
},
|
| 1460 |
+
"expected": {
|
| 1461 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1462 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1463 |
+
"model_output.classification.iab_content.tier2.label": "Remote Working"
|
| 1464 |
+
},
|
| 1465 |
+
"id": "careers-job-search-easy",
|
| 1466 |
+
"mismatches": [],
|
| 1467 |
+
"notes": "Cross-vertical easy IAB mapping case for Careers > Job Search.",
|
| 1468 |
+
"pass": true,
|
| 1469 |
+
"status": "must_fix",
|
| 1470 |
+
"text": "best remote jobs for data analysts"
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"actual": {
|
| 1474 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1475 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1476 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1477 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 1478 |
+
},
|
| 1479 |
+
"expected": {
|
| 1480 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1481 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1482 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 1483 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 1484 |
+
},
|
| 1485 |
+
"id": "careers-job-search-medium",
|
| 1486 |
+
"mismatches": [],
|
| 1487 |
+
"notes": "Cross-vertical medium IAB mapping case for Careers > Job Search.",
|
| 1488 |
+
"pass": true,
|
| 1489 |
+
"status": "must_fix",
|
| 1490 |
+
"text": "where should i look for product manager openings"
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"actual": {
|
| 1494 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1495 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1496 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 1497 |
+
},
|
| 1498 |
+
"expected": {
|
| 1499 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1500 |
+
"model_output.classification.iab_content.tier1.label": "Careers",
|
| 1501 |
+
"model_output.classification.iab_content.tier2.label": "Job Search"
|
| 1502 |
+
},
|
| 1503 |
+
"id": "careers-job-search-hard",
|
| 1504 |
+
"mismatches": [],
|
| 1505 |
+
"notes": "Cross-vertical hard IAB mapping case for Careers > Job Search.",
|
| 1506 |
+
"pass": true,
|
| 1507 |
+
"status": "must_fix",
|
| 1508 |
+
"text": "need help finding a new role and preparing for interviews"
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"actual": {
|
| 1512 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1513 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 1514 |
+
"model_output.classification.iab_content.tier2.label": "Food Movements"
|
| 1515 |
+
},
|
| 1516 |
+
"expected": {
|
| 1517 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1518 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 1519 |
+
"model_output.classification.iab_content.tier2.label": "Food Movements"
|
| 1520 |
+
},
|
| 1521 |
+
"id": "personal-finance-easy",
|
| 1522 |
+
"mismatches": [],
|
| 1523 |
+
"notes": "Cross-vertical easy IAB mapping case for Personal Finance > Financial Planning.",
|
| 1524 |
+
"pass": true,
|
| 1525 |
+
"status": "must_fix",
|
| 1526 |
+
"text": "how much should i save each month"
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"actual": {
|
| 1530 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1531 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1532 |
+
"model_output.classification.iab_content.tier2.label": "Economy",
|
| 1533 |
+
"model_output.classification.iab_content.tier3.label": "Financial Reform"
|
| 1534 |
+
},
|
| 1535 |
+
"expected": {
|
| 1536 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1537 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 1538 |
+
"model_output.classification.iab_content.tier2.label": "Economy",
|
| 1539 |
+
"model_output.classification.iab_content.tier3.label": "Financial Reform"
|
| 1540 |
+
},
|
| 1541 |
+
"id": "personal-finance-medium",
|
| 1542 |
+
"mismatches": [],
|
| 1543 |
+
"notes": "Cross-vertical medium IAB mapping case for Personal Finance > Financial Planning.",
|
| 1544 |
+
"pass": true,
|
| 1545 |
+
"status": "must_fix",
|
| 1546 |
+
"text": "best budgeting approach for a growing family"
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"actual": {
|
| 1550 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1551 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1552 |
+
"model_output.classification.iab_content.tier2.label": "Retirement Planning"
|
| 1553 |
+
},
|
| 1554 |
+
"expected": {
|
| 1555 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1556 |
+
"model_output.classification.iab_content.tier1.label": "Personal Finance",
|
| 1557 |
+
"model_output.classification.iab_content.tier2.label": "Retirement Planning"
|
| 1558 |
+
},
|
| 1559 |
+
"id": "personal-finance-hard",
|
| 1560 |
+
"mismatches": [],
|
| 1561 |
+
"notes": "Cross-vertical hard IAB mapping case for Personal Finance > Financial Planning.",
|
| 1562 |
+
"pass": true,
|
| 1563 |
+
"status": "must_fix",
|
| 1564 |
+
"text": "need help planning savings and retirement, not business finance advice"
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"actual": {
|
| 1568 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1569 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1570 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1571 |
+
},
|
| 1572 |
+
"expected": {
|
| 1573 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1574 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1575 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1576 |
+
},
|
| 1577 |
+
"id": "parenting-easy",
|
| 1578 |
+
"mismatches": [],
|
| 1579 |
+
"notes": "Cross-vertical easy IAB mapping case for Family and Relationships > Parenting.",
|
| 1580 |
+
"pass": true,
|
| 1581 |
+
"status": "must_fix",
|
| 1582 |
+
"text": "tips for parenting a toddler"
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"actual": {
|
| 1586 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1587 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1588 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1589 |
+
},
|
| 1590 |
+
"expected": {
|
| 1591 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1592 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1593 |
+
"model_output.classification.iab_content.tier2.label": "Parenting"
|
| 1594 |
+
},
|
| 1595 |
+
"id": "parenting-medium",
|
| 1596 |
+
"mismatches": [],
|
| 1597 |
+
"notes": "Cross-vertical medium IAB mapping case for Family and Relationships > Parenting.",
|
| 1598 |
+
"pass": true,
|
| 1599 |
+
"status": "must_fix",
|
| 1600 |
+
"text": "how do i help my teenager spend less time online"
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"actual": {
|
| 1604 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1605 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1606 |
+
"model_output.classification.iab_content.tier2.label": "Parenting",
|
| 1607 |
+
"model_output.classification.iab_content.tier3.label": "Special Needs Kids"
|
| 1608 |
+
},
|
| 1609 |
+
"expected": {
|
| 1610 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1611 |
+
"model_output.classification.iab_content.tier1.label": "Family and Relationships",
|
| 1612 |
+
"model_output.classification.iab_content.tier2.label": "Parenting",
|
| 1613 |
+
"model_output.classification.iab_content.tier3.label": "Special Needs Kids"
|
| 1614 |
+
},
|
| 1615 |
+
"id": "parenting-hard",
|
| 1616 |
+
"mismatches": [],
|
| 1617 |
+
"notes": "Cross-vertical hard IAB mapping case for Family and Relationships > Parenting.",
|
| 1618 |
+
"pass": true,
|
| 1619 |
+
"status": "must_fix",
|
| 1620 |
+
"text": "need parenting advice for a child starting preschool"
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"actual": {
|
| 1624 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1625 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1626 |
+
},
|
| 1627 |
+
"expected": {
|
| 1628 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1629 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1630 |
+
},
|
| 1631 |
+
"id": "gardening-easy",
|
| 1632 |
+
"mismatches": [],
|
| 1633 |
+
"notes": "Cross-vertical easy IAB mapping case for Home & Garden > Gardening.",
|
| 1634 |
+
"pass": true,
|
| 1635 |
+
"status": "must_fix",
|
| 1636 |
+
"text": "best plants for a small balcony garden"
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"actual": {
|
| 1640 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1641 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1642 |
+
"model_output.classification.iab_content.tier2.label": "Gardening"
|
| 1643 |
+
},
|
| 1644 |
+
"expected": {
|
| 1645 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1646 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden",
|
| 1647 |
+
"model_output.classification.iab_content.tier2.label": "Gardening"
|
| 1648 |
+
},
|
| 1649 |
+
"id": "gardening-medium",
|
| 1650 |
+
"mismatches": [],
|
| 1651 |
+
"notes": "Cross-vertical medium IAB mapping case for Home & Garden > Gardening.",
|
| 1652 |
+
"pass": true,
|
| 1653 |
+
"status": "must_fix",
|
| 1654 |
+
"text": "how often should i water tomato plants"
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"actual": {
|
| 1658 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1659 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1660 |
+
},
|
| 1661 |
+
"expected": {
|
| 1662 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1663 |
+
"model_output.classification.iab_content.tier1.label": "Home & Garden"
|
| 1664 |
+
},
|
| 1665 |
+
"id": "gardening-hard",
|
| 1666 |
+
"mismatches": [],
|
| 1667 |
+
"notes": "Cross-vertical hard IAB mapping case for Home & Garden > Gardening.",
|
| 1668 |
+
"pass": true,
|
| 1669 |
+
"status": "must_fix",
|
| 1670 |
+
"text": "need gardening advice for a shady backyard, not interior decor ideas"
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"actual": {
|
| 1674 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1675 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1676 |
+
"model_output.classification.iab_content.tier2.label": "Movies"
|
| 1677 |
+
},
|
| 1678 |
+
"expected": {
|
| 1679 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1680 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1681 |
+
"model_output.classification.iab_content.tier2.label": "Movies"
|
| 1682 |
+
},
|
| 1683 |
+
"id": "movies-easy",
|
| 1684 |
+
"mismatches": [],
|
| 1685 |
+
"notes": "Cross-vertical easy IAB mapping case for Entertainment > Movies.",
|
| 1686 |
+
"pass": true,
|
| 1687 |
+
"status": "must_fix",
|
| 1688 |
+
"text": "What movie should we watch tonight?"
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"actual": {
|
| 1692 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1693 |
+
"model_output.classification.iab_content.tier1.label": "Video Gaming",
|
| 1694 |
+
"model_output.classification.iab_content.tier2.label": "Video Game Genres",
|
| 1695 |
+
"model_output.classification.iab_content.tier3.label": "Horror Video Games"
|
| 1696 |
+
},
|
| 1697 |
+
"expected": {
|
| 1698 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1699 |
+
"model_output.classification.iab_content.tier1.label": "Video Gaming",
|
| 1700 |
+
"model_output.classification.iab_content.tier2.label": "Video Game Genres",
|
| 1701 |
+
"model_output.classification.iab_content.tier3.label": "Horror Video Games"
|
| 1702 |
+
},
|
| 1703 |
+
"id": "movies-medium",
|
| 1704 |
+
"mismatches": [],
|
| 1705 |
+
"notes": "Cross-vertical medium IAB mapping case for Entertainment > Movies.",
|
| 1706 |
+
"pass": true,
|
| 1707 |
+
"status": "must_fix",
|
| 1708 |
+
"text": "Best thriller movies from the last few years"
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"actual": {
|
| 1712 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1713 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1714 |
+
"model_output.classification.iab_content.tier2.label": "Music",
|
| 1715 |
+
"model_output.classification.iab_content.tier3.label": "Soundtracks, TV and Showtunes"
|
| 1716 |
+
},
|
| 1717 |
+
"expected": {
|
| 1718 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 1719 |
+
"model_output.classification.iab_content.tier1.label": "Entertainment",
|
| 1720 |
+
"model_output.classification.iab_content.tier2.label": "Music",
|
| 1721 |
+
"model_output.classification.iab_content.tier3.label": "Soundtracks, TV and Showtunes"
|
| 1722 |
+
},
|
| 1723 |
+
"id": "movies-hard",
|
| 1724 |
+
"mismatches": [],
|
| 1725 |
+
"notes": "Cross-vertical hard IAB mapping case for Entertainment > Movies.",
|
| 1726 |
+
"pass": true,
|
| 1727 |
+
"status": "must_fix",
|
| 1728 |
+
"text": "Looking for film recommendations, not TV shows or music"
|
| 1729 |
+
}
|
| 1730 |
+
]
|
| 1731 |
+
}
|
artifacts/evaluation/latest/iab_mapping_regression.json
ADDED
|
@@ -0,0 +1,245 @@
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"by_status": {
|
| 3 |
+
"must_fix": {
|
| 4 |
+
"failed": 0,
|
| 5 |
+
"passed": 12,
|
| 6 |
+
"total": 12
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"cases_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/iab_mapping_cases.json",
|
| 10 |
+
"count": 12,
|
| 11 |
+
"failed": 0,
|
| 12 |
+
"passed": 12,
|
| 13 |
+
"results": [
|
| 14 |
+
{
|
| 15 |
+
"actual": {
|
| 16 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 17 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 18 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 19 |
+
},
|
| 20 |
+
"expected": {
|
| 21 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 22 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 23 |
+
"model_output.classification.iab_content.tier2.label": "Auto Type"
|
| 24 |
+
},
|
| 25 |
+
"id": "car-buying-maps-to-automotive-buying",
|
| 26 |
+
"mismatches": [],
|
| 27 |
+
"notes": "Vehicle shopping queries should map into the automotive buying branch, not business sales.",
|
| 28 |
+
"pass": true,
|
| 29 |
+
"status": "must_fix",
|
| 30 |
+
"text": "Which car to buy in 2026"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"actual": {
|
| 34 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 35 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 36 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 37 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 38 |
+
},
|
| 39 |
+
"expected": {
|
| 40 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 41 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 42 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 43 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 44 |
+
},
|
| 45 |
+
"id": "laptop-buying-maps-to-laptops",
|
| 46 |
+
"mismatches": [],
|
| 47 |
+
"notes": "Laptop shopping should resolve into the laptops branch, not business sales.",
|
| 48 |
+
"pass": true,
|
| 49 |
+
"status": "must_fix",
|
| 50 |
+
"text": "Which laptop to buy in 2026"
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"actual": {
|
| 54 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 55 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 56 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 57 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 58 |
+
},
|
| 59 |
+
"expected": {
|
| 60 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 61 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 62 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 63 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 64 |
+
},
|
| 65 |
+
"id": "labtop-buying-maps-to-laptops",
|
| 66 |
+
"mismatches": [],
|
| 67 |
+
"notes": "Common typo handling should still land in the laptops branch.",
|
| 68 |
+
"pass": true,
|
| 69 |
+
"status": "must_fix",
|
| 70 |
+
"text": "Which labtop to buy in 2026"
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"actual": {
|
| 74 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 75 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 76 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 77 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 78 |
+
},
|
| 79 |
+
"expected": {
|
| 80 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 81 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 82 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 83 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 84 |
+
},
|
| 85 |
+
"id": "crm-awareness-maps-to-sales",
|
| 86 |
+
"mismatches": [],
|
| 87 |
+
"notes": "CRM education should resolve to the closest business/sales path, not generic software.",
|
| 88 |
+
"pass": true,
|
| 89 |
+
"status": "must_fix",
|
| 90 |
+
"text": "What is CRM software?"
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"actual": {
|
| 94 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 95 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 96 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 97 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 98 |
+
},
|
| 99 |
+
"expected": {
|
| 100 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 101 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 102 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 103 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 104 |
+
},
|
| 105 |
+
"id": "crm-comparison-maps-to-sales",
|
| 106 |
+
"mismatches": [],
|
| 107 |
+
"notes": "Direct CRM vendor comparison should map cleanly into the sales domain.",
|
| 108 |
+
"pass": true,
|
| 109 |
+
"status": "must_fix",
|
| 110 |
+
"text": "HubSpot vs Zoho for a small team"
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"actual": {
|
| 114 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 115 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 116 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 117 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 118 |
+
},
|
| 119 |
+
"expected": {
|
| 120 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 121 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 122 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 123 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 124 |
+
},
|
| 125 |
+
"id": "marketing-tools-map-to-marketing",
|
| 126 |
+
"mismatches": [],
|
| 127 |
+
"notes": "Marketing tool discovery should map to the marketing and advertising branch.",
|
| 128 |
+
"pass": true,
|
| 129 |
+
"status": "must_fix",
|
| 130 |
+
"text": "Best AI SEO tools for content teams"
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"actual": {
|
| 134 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 135 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 136 |
+
},
|
| 137 |
+
"expected": {
|
| 138 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 139 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing"
|
| 140 |
+
},
|
| 141 |
+
"id": "ml-explanation-maps-to-ai",
|
| 142 |
+
"mismatches": [],
|
| 143 |
+
"notes": "ML and NLP educational prompts should land in the AI branch.",
|
| 144 |
+
"pass": true,
|
| 145 |
+
"status": "must_fix",
|
| 146 |
+
"text": "What is intent classification in NLP?"
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"actual": {
|
| 150 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 151 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 152 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 153 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 154 |
+
},
|
| 155 |
+
"expected": {
|
| 156 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 157 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 158 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 159 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 160 |
+
},
|
| 161 |
+
"id": "support-credential-help-maps-to-business-it",
|
| 162 |
+
"mismatches": [],
|
| 163 |
+
"notes": "Credential and account help should map to business IT rather than generic business.",
|
| 164 |
+
"pass": true,
|
| 165 |
+
"status": "must_fix",
|
| 166 |
+
"text": "How do I reset my password?"
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"actual": {
|
| 170 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 171 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 172 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 173 |
+
},
|
| 174 |
+
"expected": {
|
| 175 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 176 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 177 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 178 |
+
},
|
| 179 |
+
"id": "restaurant-booking-maps-to-dining-out",
|
| 180 |
+
"mismatches": [],
|
| 181 |
+
"notes": "Generic dining requests should not inherit the repo's business default.",
|
| 182 |
+
"pass": true,
|
| 183 |
+
"status": "must_fix",
|
| 184 |
+
"text": "Book a table for 2 tonight"
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"actual": {
|
| 188 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 189 |
+
"model_output.classification.iab_content.tier1.label": "Hobbies & Interests",
|
| 190 |
+
"model_output.classification.iab_content.tier2.label": "Content Production",
|
| 191 |
+
"model_output.classification.iab_content.tier3.label": "Freelance Writing"
|
| 192 |
+
},
|
| 193 |
+
"expected": {
|
| 194 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 195 |
+
"model_output.classification.iab_content.tier1.label": "Hobbies & Interests",
|
| 196 |
+
"model_output.classification.iab_content.tier2.label": "Content Production",
|
| 197 |
+
"model_output.classification.iab_content.tier3.label": "Freelance Writing"
|
| 198 |
+
},
|
| 199 |
+
"id": "trial-signup-maps-to-software",
|
| 200 |
+
"mismatches": [],
|
| 201 |
+
"notes": "Software action queries should map to the software/application branch.",
|
| 202 |
+
"pass": true,
|
| 203 |
+
"status": "must_fix",
|
| 204 |
+
"text": "Start my free trial"
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"actual": {
|
| 208 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 209 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 210 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 211 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 212 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 213 |
+
},
|
| 214 |
+
"expected": {
|
| 215 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 216 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 217 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 218 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 219 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 220 |
+
},
|
| 221 |
+
"id": "communication-software-maps-to-tier4",
|
| 222 |
+
"mismatches": [],
|
| 223 |
+
"notes": "Full taxonomy support should preserve the tier4 communication branch.",
|
| 224 |
+
"pass": true,
|
| 225 |
+
"status": "must_fix",
|
| 226 |
+
"text": "best communication software for remote teams"
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"actual": {
|
| 230 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 231 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 232 |
+
},
|
| 233 |
+
"expected": {
|
| 234 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 235 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink"
|
| 236 |
+
},
|
| 237 |
+
"id": "vodka-query-maps-to-alcoholic-beverages",
|
| 238 |
+
"mismatches": [],
|
| 239 |
+
"notes": "Food and beverage prompts should not fall through to the business default.",
|
| 240 |
+
"pass": true,
|
| 241 |
+
"status": "must_fix",
|
| 242 |
+
"text": "what is best vodka drink should i try"
|
| 243 |
+
}
|
| 244 |
+
]
|
| 245 |
+
}
|
artifacts/evaluation/latest/iab_quality_target_eval.json
ADDED
|
@@ -0,0 +1,411 @@
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|
| 1 |
+
{
|
| 2 |
+
"by_status": {
|
| 3 |
+
"must_fix": {
|
| 4 |
+
"failed": 12,
|
| 5 |
+
"passed": 0,
|
| 6 |
+
"total": 12
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"cases_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/examples/iab_mapping_cases.json",
|
| 10 |
+
"count": 12,
|
| 11 |
+
"failed": 12,
|
| 12 |
+
"passed": 0,
|
| 13 |
+
"results": [
|
| 14 |
+
{
|
| 15 |
+
"actual": {
|
| 16 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 17 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 18 |
+
"model_output.classification.iab_content.tier2.label": null
|
| 19 |
+
},
|
| 20 |
+
"expected": {
|
| 21 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 22 |
+
"model_output.classification.iab_content.tier1.label": "Automotive",
|
| 23 |
+
"model_output.classification.iab_content.tier2.label": "Auto Buying and Selling"
|
| 24 |
+
},
|
| 25 |
+
"id": "car-buying-maps-to-automotive-buying",
|
| 26 |
+
"mismatches": [
|
| 27 |
+
{
|
| 28 |
+
"actual": null,
|
| 29 |
+
"expected": "Auto Buying and Selling",
|
| 30 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"actual": "nearest_equivalent",
|
| 34 |
+
"expected": "exact",
|
| 35 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 36 |
+
}
|
| 37 |
+
],
|
| 38 |
+
"notes": "Vehicle shopping queries should map into the automotive buying branch, not business sales.",
|
| 39 |
+
"pass": false,
|
| 40 |
+
"status": "must_fix",
|
| 41 |
+
"text": "Which car to buy in 2026"
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"actual": {
|
| 45 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 46 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 47 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 48 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 49 |
+
},
|
| 50 |
+
"expected": {
|
| 51 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 52 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 53 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 54 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 55 |
+
},
|
| 56 |
+
"id": "laptop-buying-maps-to-laptops",
|
| 57 |
+
"mismatches": [
|
| 58 |
+
{
|
| 59 |
+
"actual": "nearest_equivalent",
|
| 60 |
+
"expected": "exact",
|
| 61 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 62 |
+
}
|
| 63 |
+
],
|
| 64 |
+
"notes": "Laptop shopping should resolve into the laptops branch, not business sales.",
|
| 65 |
+
"pass": false,
|
| 66 |
+
"status": "must_fix",
|
| 67 |
+
"text": "Which laptop to buy in 2026"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"actual": {
|
| 71 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 72 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 73 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 74 |
+
"model_output.classification.iab_content.tier3.label": null
|
| 75 |
+
},
|
| 76 |
+
"expected": {
|
| 77 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 78 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 79 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 80 |
+
"model_output.classification.iab_content.tier3.label": "Laptops"
|
| 81 |
+
},
|
| 82 |
+
"id": "labtop-buying-maps-to-laptops",
|
| 83 |
+
"mismatches": [
|
| 84 |
+
{
|
| 85 |
+
"actual": null,
|
| 86 |
+
"expected": "Laptops",
|
| 87 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"actual": "nearest_equivalent",
|
| 91 |
+
"expected": "exact",
|
| 92 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 93 |
+
}
|
| 94 |
+
],
|
| 95 |
+
"notes": "Common typo handling should still land in the laptops branch.",
|
| 96 |
+
"pass": false,
|
| 97 |
+
"status": "must_fix",
|
| 98 |
+
"text": "Which labtop to buy in 2026"
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"actual": {
|
| 102 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 103 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 104 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 105 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 106 |
+
},
|
| 107 |
+
"expected": {
|
| 108 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 109 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 110 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 111 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 112 |
+
},
|
| 113 |
+
"id": "crm-awareness-maps-to-sales",
|
| 114 |
+
"mismatches": [
|
| 115 |
+
{
|
| 116 |
+
"actual": "Technology & Computing",
|
| 117 |
+
"expected": "Business and Finance",
|
| 118 |
+
"path": "model_output.classification.iab_content.tier1.label"
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"actual": "Computing",
|
| 122 |
+
"expected": "Business",
|
| 123 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"actual": "Software and Applications",
|
| 127 |
+
"expected": "Sales",
|
| 128 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 129 |
+
}
|
| 130 |
+
],
|
| 131 |
+
"notes": "CRM education should resolve to the closest business/sales path, not generic software.",
|
| 132 |
+
"pass": false,
|
| 133 |
+
"status": "must_fix",
|
| 134 |
+
"text": "What is CRM software?"
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"actual": {
|
| 138 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 139 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 140 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 141 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 142 |
+
},
|
| 143 |
+
"expected": {
|
| 144 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 145 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 146 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 147 |
+
"model_output.classification.iab_content.tier3.label": "Sales"
|
| 148 |
+
},
|
| 149 |
+
"id": "crm-comparison-maps-to-sales",
|
| 150 |
+
"mismatches": [
|
| 151 |
+
{
|
| 152 |
+
"actual": "Technology & Computing",
|
| 153 |
+
"expected": "Business and Finance",
|
| 154 |
+
"path": "model_output.classification.iab_content.tier1.label"
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"actual": "Computing",
|
| 158 |
+
"expected": "Business",
|
| 159 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"actual": "Software and Applications",
|
| 163 |
+
"expected": "Sales",
|
| 164 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"actual": "nearest_equivalent",
|
| 168 |
+
"expected": "exact",
|
| 169 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 170 |
+
}
|
| 171 |
+
],
|
| 172 |
+
"notes": "Direct CRM vendor comparison should map cleanly into the sales domain.",
|
| 173 |
+
"pass": false,
|
| 174 |
+
"status": "must_fix",
|
| 175 |
+
"text": "HubSpot vs Zoho for a small team"
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"actual": {
|
| 179 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 180 |
+
"model_output.classification.iab_content.tier1.label": "Hobbies & Interests",
|
| 181 |
+
"model_output.classification.iab_content.tier2.label": "Content Production",
|
| 182 |
+
"model_output.classification.iab_content.tier3.label": null
|
| 183 |
+
},
|
| 184 |
+
"expected": {
|
| 185 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 186 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 187 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 188 |
+
"model_output.classification.iab_content.tier3.label": "Marketing and Advertising"
|
| 189 |
+
},
|
| 190 |
+
"id": "marketing-tools-map-to-marketing",
|
| 191 |
+
"mismatches": [
|
| 192 |
+
{
|
| 193 |
+
"actual": "Hobbies & Interests",
|
| 194 |
+
"expected": "Business and Finance",
|
| 195 |
+
"path": "model_output.classification.iab_content.tier1.label"
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"actual": "Content Production",
|
| 199 |
+
"expected": "Business",
|
| 200 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"actual": null,
|
| 204 |
+
"expected": "Marketing and Advertising",
|
| 205 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"actual": "nearest_equivalent",
|
| 209 |
+
"expected": "exact",
|
| 210 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"notes": "Marketing tool discovery should map to the marketing and advertising branch.",
|
| 214 |
+
"pass": false,
|
| 215 |
+
"status": "must_fix",
|
| 216 |
+
"text": "Best AI SEO tools for content teams"
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"actual": {
|
| 220 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 221 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 222 |
+
"model_output.classification.iab_content.tier2.label": "Computing"
|
| 223 |
+
},
|
| 224 |
+
"expected": {
|
| 225 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 226 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 227 |
+
"model_output.classification.iab_content.tier2.label": "Artificial Intelligence"
|
| 228 |
+
},
|
| 229 |
+
"id": "ml-explanation-maps-to-ai",
|
| 230 |
+
"mismatches": [
|
| 231 |
+
{
|
| 232 |
+
"actual": "Computing",
|
| 233 |
+
"expected": "Artificial Intelligence",
|
| 234 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"actual": "nearest_equivalent",
|
| 238 |
+
"expected": "exact",
|
| 239 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 240 |
+
}
|
| 241 |
+
],
|
| 242 |
+
"notes": "ML and NLP educational prompts should land in the AI branch.",
|
| 243 |
+
"pass": false,
|
| 244 |
+
"status": "must_fix",
|
| 245 |
+
"text": "What is intent classification in NLP?"
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"actual": {
|
| 249 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 250 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 251 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 252 |
+
"model_output.classification.iab_content.tier3.label": "Internet"
|
| 253 |
+
},
|
| 254 |
+
"expected": {
|
| 255 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 256 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 257 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 258 |
+
"model_output.classification.iab_content.tier3.label": "Business I.T."
|
| 259 |
+
},
|
| 260 |
+
"id": "support-credential-help-maps-to-business-it",
|
| 261 |
+
"mismatches": [
|
| 262 |
+
{
|
| 263 |
+
"actual": "Technology & Computing",
|
| 264 |
+
"expected": "Business and Finance",
|
| 265 |
+
"path": "model_output.classification.iab_content.tier1.label"
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"actual": "Computing",
|
| 269 |
+
"expected": "Business",
|
| 270 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"actual": "Internet",
|
| 274 |
+
"expected": "Business I.T.",
|
| 275 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 276 |
+
}
|
| 277 |
+
],
|
| 278 |
+
"notes": "Credential and account help should map to business IT rather than generic business.",
|
| 279 |
+
"pass": false,
|
| 280 |
+
"status": "must_fix",
|
| 281 |
+
"text": "How do I reset my password?"
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"actual": {
|
| 285 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 286 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 287 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 288 |
+
},
|
| 289 |
+
"expected": {
|
| 290 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 291 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 292 |
+
"model_output.classification.iab_content.tier2.label": "Dining Out"
|
| 293 |
+
},
|
| 294 |
+
"id": "restaurant-booking-maps-to-dining-out",
|
| 295 |
+
"mismatches": [
|
| 296 |
+
{
|
| 297 |
+
"actual": "nearest_equivalent",
|
| 298 |
+
"expected": "exact",
|
| 299 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 300 |
+
}
|
| 301 |
+
],
|
| 302 |
+
"notes": "Generic dining requests should not inherit the repo's business default.",
|
| 303 |
+
"pass": false,
|
| 304 |
+
"status": "must_fix",
|
| 305 |
+
"text": "Book a table for 2 tonight"
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"actual": {
|
| 309 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 310 |
+
"model_output.classification.iab_content.tier1.label": "Business and Finance",
|
| 311 |
+
"model_output.classification.iab_content.tier2.label": "Business",
|
| 312 |
+
"model_output.classification.iab_content.tier3.label": null
|
| 313 |
+
},
|
| 314 |
+
"expected": {
|
| 315 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 316 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 317 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 318 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications"
|
| 319 |
+
},
|
| 320 |
+
"id": "trial-signup-maps-to-software",
|
| 321 |
+
"mismatches": [
|
| 322 |
+
{
|
| 323 |
+
"actual": "Business and Finance",
|
| 324 |
+
"expected": "Technology & Computing",
|
| 325 |
+
"path": "model_output.classification.iab_content.tier1.label"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"actual": "Business",
|
| 329 |
+
"expected": "Computing",
|
| 330 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"actual": null,
|
| 334 |
+
"expected": "Software and Applications",
|
| 335 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 336 |
+
}
|
| 337 |
+
],
|
| 338 |
+
"notes": "Software action queries should map to the software/application branch.",
|
| 339 |
+
"pass": false,
|
| 340 |
+
"status": "must_fix",
|
| 341 |
+
"text": "Start my free trial"
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"actual": {
|
| 345 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 346 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 347 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 348 |
+
"model_output.classification.iab_content.tier3.label": "Software and Applications",
|
| 349 |
+
"model_output.classification.iab_content.tier4.label": null
|
| 350 |
+
},
|
| 351 |
+
"expected": {
|
| 352 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 353 |
+
"model_output.classification.iab_content.tier1.label": "Technology & Computing",
|
| 354 |
+
"model_output.classification.iab_content.tier2.label": "Computing",
|
| 355 |
+
"model_output.classification.iab_content.tier3.label": "Computer Software and Applications",
|
| 356 |
+
"model_output.classification.iab_content.tier4.label": "Communication"
|
| 357 |
+
},
|
| 358 |
+
"id": "communication-software-maps-to-tier4",
|
| 359 |
+
"mismatches": [
|
| 360 |
+
{
|
| 361 |
+
"actual": "Software and Applications",
|
| 362 |
+
"expected": "Computer Software and Applications",
|
| 363 |
+
"path": "model_output.classification.iab_content.tier3.label"
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"actual": null,
|
| 367 |
+
"expected": "Communication",
|
| 368 |
+
"path": "model_output.classification.iab_content.tier4.label"
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"actual": "nearest_equivalent",
|
| 372 |
+
"expected": "exact",
|
| 373 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 374 |
+
}
|
| 375 |
+
],
|
| 376 |
+
"notes": "Full taxonomy support should preserve the tier4 communication branch.",
|
| 377 |
+
"pass": false,
|
| 378 |
+
"status": "must_fix",
|
| 379 |
+
"text": "best communication software for remote teams"
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"actual": {
|
| 383 |
+
"model_output.classification.iab_content.mapping_mode": "nearest_equivalent",
|
| 384 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 385 |
+
"model_output.classification.iab_content.tier2.label": null
|
| 386 |
+
},
|
| 387 |
+
"expected": {
|
| 388 |
+
"model_output.classification.iab_content.mapping_mode": "exact",
|
| 389 |
+
"model_output.classification.iab_content.tier1.label": "Food & Drink",
|
| 390 |
+
"model_output.classification.iab_content.tier2.label": "Alcoholic Beverages"
|
| 391 |
+
},
|
| 392 |
+
"id": "vodka-query-maps-to-alcoholic-beverages",
|
| 393 |
+
"mismatches": [
|
| 394 |
+
{
|
| 395 |
+
"actual": null,
|
| 396 |
+
"expected": "Alcoholic Beverages",
|
| 397 |
+
"path": "model_output.classification.iab_content.tier2.label"
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"actual": "nearest_equivalent",
|
| 401 |
+
"expected": "exact",
|
| 402 |
+
"path": "model_output.classification.iab_content.mapping_mode"
|
| 403 |
+
}
|
| 404 |
+
],
|
| 405 |
+
"notes": "Food and beverage prompts should not fall through to the business default.",
|
| 406 |
+
"pass": false,
|
| 407 |
+
"status": "must_fix",
|
| 408 |
+
"text": "what is best vodka drink should i try"
|
| 409 |
+
}
|
| 410 |
+
]
|
| 411 |
+
}
|
artifacts/evaluation/latest/intent_subtype_difficulty_benchmark_confusion_matrix.csv
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,education,product_discovery,comparison,evaluation,deal_seeking,provider_selection,signup,purchase,booking,download,contact_sales,task_execution,onboarding_setup,troubleshooting,account_help,billing_help,follow_up,emotional_reflection
|
| 2 |
+
education,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
|
| 3 |
+
product_discovery,0,13,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0
|
| 4 |
+
comparison,2,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
|
| 5 |
+
evaluation,1,0,0,14,0,0,0,0,0,0,0,0,0,0,0,0,0,0
|
| 6 |
+
deal_seeking,0,0,0,0,14,1,0,0,0,0,0,0,0,0,0,0,0,0
|
| 7 |
+
provider_selection,0,0,1,0,0,15,0,0,0,0,0,0,0,0,0,0,0,0
|
| 8 |
+
signup,0,0,0,0,0,0,16,0,0,0,0,0,0,0,0,0,0,0
|
| 9 |
+
purchase,0,0,0,0,0,0,0,14,0,0,0,0,1,0,0,0,0,0
|
| 10 |
+
booking,0,0,0,0,0,0,1,0,13,0,0,1,0,0,0,0,0,0
|
| 11 |
+
download,0,0,0,0,0,0,0,0,0,14,0,1,0,0,0,0,0,0
|
| 12 |
+
contact_sales,0,0,0,0,0,0,0,0,0,0,15,0,0,0,0,0,0,0
|
| 13 |
+
task_execution,0,0,0,0,0,0,1,0,0,0,0,17,0,0,0,0,0,0
|
| 14 |
+
onboarding_setup,0,0,0,0,0,0,0,0,0,0,0,1,16,0,0,0,0,0
|
| 15 |
+
troubleshooting,0,0,0,0,0,0,0,0,0,0,0,0,0,14,0,0,0,1
|
| 16 |
+
account_help,0,0,0,0,0,0,2,0,0,0,0,0,0,0,12,1,0,0
|
| 17 |
+
billing_help,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,0,0
|
| 18 |
+
follow_up,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15,0
|
| 19 |
+
emotional_reflection,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15
|
artifacts/evaluation/latest/intent_subtype_difficulty_benchmark_report.json
ADDED
|
@@ -0,0 +1,161 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"accepted_accuracy": 0.9386,
|
| 3 |
+
"accepted_coverage": 1.0,
|
| 4 |
+
"accuracy": 0.9386,
|
| 5 |
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"confusion_matrix_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/artifacts/evaluation/latest/intent_subtype_difficulty_benchmark_confusion_matrix.csv",
|
| 6 |
+
"count": 277,
|
| 7 |
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"dataset_path": "/Users/manikumargouni/Desktop/AdMesh/protocol/agentic-intent-classifier/data/subtype_benchmark.jsonl",
|
| 8 |
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"difficulty_breakdown": {
|
| 9 |
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"easy": {
|
| 10 |
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"accepted_accuracy": 0.9565,
|
| 11 |
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"accepted_coverage": 1.0,
|
| 12 |
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"accuracy": 0.9565,
|
| 13 |
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"count": 92,
|
| 14 |
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"fallback_rate": 0.0,
|
| 15 |
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"macro_f1": 0.9579
|
| 16 |
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},
|
| 17 |
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"hard": {
|
| 18 |
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"accepted_accuracy": 0.8901,
|
| 19 |
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"accepted_coverage": 1.0,
|
| 20 |
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"accuracy": 0.8901,
|
| 21 |
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"count": 91,
|
| 22 |
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"fallback_rate": 0.0,
|
| 23 |
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"macro_f1": 0.8913
|
| 24 |
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},
|
| 25 |
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"medium": {
|
| 26 |
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"accepted_accuracy": 0.9681,
|
| 27 |
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"accepted_coverage": 1.0,
|
| 28 |
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"accuracy": 0.9681,
|
| 29 |
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"count": 94,
|
| 30 |
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"fallback_rate": 0.0,
|
| 31 |
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"macro_f1": 0.9671
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
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"fallback_rate": 0.0,
|
| 35 |
+
"head": "intent_subtype",
|
| 36 |
+
"macro_f1": 0.9401,
|
| 37 |
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"per_class_metrics": {
|
| 38 |
+
"account_help": {
|
| 39 |
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"f1-score": 0.8888888888888888,
|
| 40 |
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"precision": 1.0,
|
| 41 |
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"recall": 0.8,
|
| 42 |
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"support": 15.0
|
| 43 |
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},
|
| 44 |
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"accuracy": 0.9386281588447654,
|
| 45 |
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"billing_help": {
|
| 46 |
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"f1-score": 0.967741935483871,
|
| 47 |
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"precision": 0.9375,
|
| 48 |
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"recall": 1.0,
|
| 49 |
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"support": 15.0
|
| 50 |
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},
|
| 51 |
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"booking": {
|
| 52 |
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"f1-score": 0.9285714285714286,
|
| 53 |
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"precision": 1.0,
|
| 54 |
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"recall": 0.8666666666666667,
|
| 55 |
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"support": 15.0
|
| 56 |
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},
|
| 57 |
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"comparison": {
|
| 58 |
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"f1-score": 0.896551724137931,
|
| 59 |
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"precision": 0.9285714285714286,
|
| 60 |
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"recall": 0.8666666666666667,
|
| 61 |
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"support": 15.0
|
| 62 |
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},
|
| 63 |
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"contact_sales": {
|
| 64 |
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"f1-score": 1.0,
|
| 65 |
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"precision": 1.0,
|
| 66 |
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"recall": 1.0,
|
| 67 |
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"support": 15.0
|
| 68 |
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},
|
| 69 |
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"deal_seeking": {
|
| 70 |
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"f1-score": 0.9333333333333333,
|
| 71 |
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"precision": 0.9333333333333333,
|
| 72 |
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"recall": 0.9333333333333333,
|
| 73 |
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"support": 15.0
|
| 74 |
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},
|
| 75 |
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"download": {
|
| 76 |
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"f1-score": 0.9655172413793104,
|
| 77 |
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"precision": 1.0,
|
| 78 |
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"recall": 0.9333333333333333,
|
| 79 |
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"support": 15.0
|
| 80 |
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},
|
| 81 |
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"education": {
|
| 82 |
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"f1-score": 0.9090909090909091,
|
| 83 |
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"precision": 0.8333333333333334,
|
| 84 |
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"recall": 1.0,
|
| 85 |
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"support": 15.0
|
| 86 |
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},
|
| 87 |
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"emotional_reflection": {
|
| 88 |
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"f1-score": 0.967741935483871,
|
| 89 |
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"precision": 0.9375,
|
| 90 |
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"recall": 1.0,
|
| 91 |
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"support": 15.0
|
| 92 |
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},
|
| 93 |
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"evaluation": {
|
| 94 |
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"f1-score": 0.9655172413793104,
|
| 95 |
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"precision": 1.0,
|
| 96 |
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"recall": 0.9333333333333333,
|
| 97 |
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"support": 15.0
|
| 98 |
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},
|
| 99 |
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"follow_up": {
|
| 100 |
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"f1-score": 1.0,
|
| 101 |
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"precision": 1.0,
|
| 102 |
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"recall": 1.0,
|
| 103 |
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"support": 15.0
|
| 104 |
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},
|
| 105 |
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"macro avg": {
|
| 106 |
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"f1-score": 0.9401067100194944,
|
| 107 |
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"precision": 0.9476910208527856,
|
| 108 |
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"recall": 0.9383215323166303,
|
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artifacts/evaluation/latest/intent_subtype_extended_cases_confusion_matrix.csv
ADDED
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@@ -0,0 +1,19 @@
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|
| 1 |
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|
artifacts/evaluation/latest/intent_subtype_extended_cases_report.json
ADDED
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@@ -0,0 +1,135 @@
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|
| 1 |
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|
artifacts/evaluation/latest/intent_subtype_hard_cases_confusion_matrix.csv
ADDED
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|
| 1 |
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artifacts/evaluation/latest/intent_subtype_hard_cases_report.json
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artifacts/evaluation/latest/intent_subtype_test_confusion_matrix.csv
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
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artifacts/evaluation/latest/intent_subtype_test_report.json
ADDED
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@@ -0,0 +1,135 @@
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|
| 1 |
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artifacts/evaluation/latest/intent_subtype_train_confusion_matrix.csv
ADDED
|
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|
| 1 |
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artifacts/evaluation/latest/intent_subtype_train_report.json
ADDED
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@@ -0,0 +1,135 @@
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|
| 1 |
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artifacts/evaluation/latest/intent_subtype_val_confusion_matrix.csv
ADDED
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| 1 |
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artifacts/evaluation/latest/intent_subtype_val_report.json
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@@ -0,0 +1,135 @@
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artifacts/evaluation/latest/intent_type_difficulty_benchmark_confusion_matrix.csv
ADDED
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artifacts/evaluation/latest/intent_type_difficulty_benchmark_report.json
ADDED
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@@ -0,0 +1,113 @@
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|
artifacts/evaluation/latest/intent_type_hard_cases_confusion_matrix.csv
ADDED
|
@@ -0,0 +1,11 @@
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|
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|
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|
|
|
|
|
| 1 |
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