From a31b323770fce4b9d7660296e5a65fbc046cef58 Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Mon, 21 Apr 2025 21:43:59 +0000
Subject: [PATCH 1/8] Implemented opik integration in LLM judge for manual
 annotation.

---
 README.md                               | 10 +++++++
 aif_gen/dataset/validation/llm_judge.py | 39 ++++++++++++++++++++++++-
 aif_gen/generate/service.py             |  1 +
 3 files changed, 49 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0f98add0..9347ec49 100644
--- a/README.md
+++ b/README.md
@@ -90,6 +90,16 @@ uv run aif generate config/aif_config.yaml allenai/OLMo-1B-hf
 uv run aif validate
 ```
 
+To log the validation to Opik for automated evaluation, set the following environment variables:
+
+```sh
+export OPIK_BASE_URL="..."
+export OPIK_PROJECT_NAME="..."
+
+# optional for self-hosted installation
+export OPIK_API_KEY="..."
+```
+
 ### Transform Data
 
 ```sh
diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index ff1fb0cd..a65b3b9e 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -3,11 +3,15 @@
 import os
 from collections import defaultdict
 from functools import lru_cache
-from typing import Dict, List, Optional, Tuple
+from typing import TYPE_CHECKING, Dict, List, Optional, Tuple
+
+if TYPE_CHECKING:
+    import opik
 
 import backoff
 import numpy as np
 import openai
+import opik
 import pydantic
 from tqdm.asyncio import tqdm
 
@@ -52,6 +56,15 @@ async def llm_judge_validation(
     cache = await AsyncElasticsearchCache.maybe_from_env_var(
         f'CACHE_VALIDATION_{model_name}'
     )
+    opik_base_url = os.environ.get('OPIK_BASE_URL')
+    if opik_base_url is not None:
+        import opik
+
+        opik_client = opik.Opik(
+            host=opik_base_url,
+            project_name=os.environ.get('OPIK_PROJECT_NAME'),
+            api_key=os.environ.get('OPIK_API_KEY'),
+        )
 
     if dry_run:
         logging.info(f'Doing dry-run data validation on a single sample...')
@@ -67,6 +80,7 @@ async def llm_judge_validation(
             max_tokens_judge_response,
             dataset_idx=-1,
             metric_name='',
+            data_source=mock_sample,
             cache=cache,
         )
         try:
@@ -102,7 +116,9 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='alignment',
+                data_source=sample,
                 cache=cache,
+                opik_client=opik_client,
             )
             coherence_chosen_coro = _get_score(
                 _get_coherence_prompt(sample.chosen),
@@ -112,7 +128,9 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_chosen',
+                data_source=sample,
                 cache=cache,
+                opik_client=opik_client,
             )
             coherence_rejected_coro = _get_score(
                 _get_coherence_prompt(sample.rejected),
@@ -122,7 +140,9 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_rejected',
+                data_source=sample,
                 cache=cache,
+                opik_client=opik_client,
             )
             futures.append(asyncio.create_task(alignment_coro))
             futures.append(asyncio.create_task(coherence_chosen_coro))
@@ -189,9 +209,18 @@ async def _get_score(
     max_tokens_judge_response: int,
     dataset_idx: int,
     metric_name: str,
+    data_source: AlignmentDatasetSample,
     cache: Optional[AsyncElasticsearchCache] = None,
+    opik_client: 'opik.Opik | None' = None,
 ) -> Tuple[Optional[int], int, str]:
     try:
+        trace = None
+        if opik_client is not None:
+            trace = opik_client.trace(
+                name=metric_name,
+                input={'prompt': data_source.prompt},
+                output={'chosen': data_source.chosen, 'rejected': data_source.rejected},
+            )
 
         class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
             score: int
@@ -229,6 +258,14 @@ class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
 
         score = max(0, min(10, score))
         logging.debug(f'Prompt: {prompt}, Response: {model_response}, Score: {score}')
+
+        if trace is not None:
+            trace.span(
+                name=model_name,
+                input={'role': 'user', 'content': prompt},
+                output={'role': 'assistant', 'content': model_response},
+                metadata={'score': score},
+            )
         return score, dataset_idx, metric_name
 
     except pydantic.ValidationError as e:
diff --git a/aif_gen/generate/service.py b/aif_gen/generate/service.py
index 6626aa86..29a62bc0 100644
--- a/aif_gen/generate/service.py
+++ b/aif_gen/generate/service.py
@@ -195,6 +195,7 @@ async def generate_continual_dataset(
                         64,
                         dataset_idx=dataset_idx,
                         metric_name='alignment_generation',
+                        data_source=sample,
                         cache=cache_judge,
                     )
 

From 391a626dc26b67512d24c2224f1bf5cd42155f3d Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Mon, 21 Apr 2025 22:42:40 +0000
Subject: [PATCH 2/8] Flattened eval score in data submitted to Opik for
 annotation.

---
 aif_gen/dataset/validation/llm_judge.py | 57 ++++++++++++-------------
 aif_gen/generate/service.py             |  2 +-
 2 files changed, 28 insertions(+), 31 deletions(-)

diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index a65b3b9e..4d8c2449 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -6,12 +6,11 @@
 from typing import TYPE_CHECKING, Dict, List, Optional, Tuple
 
 if TYPE_CHECKING:
-    import opik
+    pass
 
 import backoff
 import numpy as np
 import openai
-import opik
 import pydantic
 from tqdm.asyncio import tqdm
 
@@ -80,7 +79,7 @@ async def llm_judge_validation(
             max_tokens_judge_response,
             dataset_idx=-1,
             metric_name='',
-            data_source=mock_sample,
+            source_sample=mock_sample,
             cache=cache,
         )
         try:
@@ -116,9 +115,8 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='alignment',
-                data_source=sample,
+                source_sample=sample,
                 cache=cache,
-                opik_client=opik_client,
             )
             coherence_chosen_coro = _get_score(
                 _get_coherence_prompt(sample.chosen),
@@ -128,9 +126,8 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_chosen',
-                data_source=sample,
+                source_sample=sample,
                 cache=cache,
-                opik_client=opik_client,
             )
             coherence_rejected_coro = _get_score(
                 _get_coherence_prompt(sample.rejected),
@@ -140,9 +137,8 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_rejected',
-                data_source=sample,
+                source_sample=sample,
                 cache=cache,
-                opik_client=opik_client,
             )
             futures.append(asyncio.create_task(alignment_coro))
             futures.append(asyncio.create_task(coherence_chosen_coro))
@@ -155,10 +151,27 @@ async def llm_judge_validation(
             if result is None:
                 continue
 
-            score, dataset_idx, metric_name = result
+            score, dataset_idx, metric_name, source_sample = result
             if score is not None:
                 results[dataset_idx][metric_name].append(score)
 
+        # Log to Opik if provided.
+        for _dataset_idx, (dataset, stats) in enumerate(zip(datasets, results)):
+            for _sample_idx, sample in enumerate(dataset.samples):
+                if opik_client is not None:
+                    opik_client.trace(
+                        name=f'{_dataset_idx}/{_sample_idx}',
+                        input={'prompt': sample.prompt},
+                        output={
+                            'chosen': sample.chosen,
+                            'rejected': sample.rejected,
+                            **{
+                                _metric_name: metrics[_sample_idx]
+                                for _metric_name, metrics in stats.items()
+                            },
+                        },
+                    )
+
         aggregated_results: List[Optional[Dict[str, float]]] = []
         for i, dataset in enumerate(datasets):
             if not len(dataset):
@@ -209,18 +222,10 @@ async def _get_score(
     max_tokens_judge_response: int,
     dataset_idx: int,
     metric_name: str,
-    data_source: AlignmentDatasetSample,
+    source_sample: AlignmentDatasetSample,
     cache: Optional[AsyncElasticsearchCache] = None,
-    opik_client: 'opik.Opik | None' = None,
-) -> Tuple[Optional[int], int, str]:
+) -> Tuple[Optional[int], int, str, AlignmentDatasetSample]:
     try:
-        trace = None
-        if opik_client is not None:
-            trace = opik_client.trace(
-                name=metric_name,
-                input={'prompt': data_source.prompt},
-                output={'chosen': data_source.chosen, 'rejected': data_source.rejected},
-            )
 
         class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
             score: int
@@ -258,19 +263,11 @@ class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
 
         score = max(0, min(10, score))
         logging.debug(f'Prompt: {prompt}, Response: {model_response}, Score: {score}')
-
-        if trace is not None:
-            trace.span(
-                name=model_name,
-                input={'role': 'user', 'content': prompt},
-                output={'role': 'assistant', 'content': model_response},
-                metadata={'score': score},
-            )
-        return score, dataset_idx, metric_name
+        return score, dataset_idx, metric_name, source_sample
 
     except pydantic.ValidationError as e:
         logging.error(f'Failed to bind structured output json schema: {e}')
-        return None, dataset_idx, metric_name
+        return None, dataset_idx, metric_name, source_sample
 
 
 def _get_alignment_prompt(prompt: str, chosen: str, rejected: str) -> str:
diff --git a/aif_gen/generate/service.py b/aif_gen/generate/service.py
index 29a62bc0..ad839c66 100644
--- a/aif_gen/generate/service.py
+++ b/aif_gen/generate/service.py
@@ -195,7 +195,7 @@ async def generate_continual_dataset(
                         64,
                         dataset_idx=dataset_idx,
                         metric_name='alignment_generation',
-                        data_source=sample,
+                        source_sample=sample,
                         cache=cache_judge,
                     )
 

From df0b446795f5939226859c8fd4bbf17dfd47a627 Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Mon, 21 Apr 2025 23:08:49 +0000
Subject: [PATCH 3/8] uv add opik

---
 pyproject.toml |   1 +
 uv.lock        | 572 ++++++++++++++++++++++++++++++++++++++++++++++---
 2 files changed, 547 insertions(+), 26 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index b90c8e52..ec399ef3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,6 +23,7 @@ dependencies = [
     "nltk>=3.9.1",
     "numpy>=2.0.2",
     "openai>=1.61.1",
+    "opik>=1.7.9",
     "pydantic>=2.10.4",
     "pytest-asyncio>=0.25.3",
     "pytest-mock>=3.14.0",
diff --git a/uv.lock b/uv.lock
index ad720968..a2693dac 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
+revision = 1
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version < '3.11' and sys_platform != 'linux'",
@@ -40,6 +41,7 @@ dependencies = [
     { name = "nltk" },
     { name = "numpy" },
     { name = "openai" },
+    { name = "opik" },
     { name = "pydantic" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -92,6 +94,7 @@ requires-dist = [
     { name = "nltk", specifier = ">=3.9.1" },
     { name = "numpy", specifier = ">=2.0.2" },
     { name = "openai", specifier = ">=1.61.1" },
+    { name = "opik", specifier = ">=1.7.9" },
     { name = "pydantic", specifier = ">=2.10.4" },
     { name = "pytest-asyncio", specifier = ">=0.25.3" },
     { name = "pytest-mock", specifier = ">=3.14.0" },
@@ -306,6 +309,37 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148 },
 ]
 
+[[package]]
+name = "boto3-stubs"
+version = "1.37.38"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "botocore-stubs" },
+    { name = "types-s3transfer" },
+    { name = "typing-extensions", marker = "python_full_version < '3.12'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ce/4b/c4e3087fd05224278f7dd4e1c8b8ffb7e5606bfca527c07ede1ce9305332/boto3_stubs-1.37.38.tar.gz", hash = "sha256:d78c2de88e9f1a60bef05cfad5b8edc051f1762be0865c83bebe716448f56510", size = 99168 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/13/5e073ee948378aff8e2fa59cda1f83a788514e41c3f036313c05a1fa0c8d/boto3_stubs-1.37.38-py3-none-any.whl", hash = "sha256:78418c10b43f1b45d877213a085acac7bcdb23e9c0ab294af04dffe9fc4310b5", size = 68734 },
+]
+
+[package.optional-dependencies]
+bedrock-runtime = [
+    { name = "mypy-boto3-bedrock-runtime" },
+]
+
+[[package]]
+name = "botocore-stubs"
+version = "1.37.38"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "types-awscrt" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/26/0f/c7aa68bcadb0d623943cc9482f856f499c0fd58937fd69f1d920e68401c0/botocore_stubs-1.37.38.tar.gz", hash = "sha256:ba4755b50649649f3129b8f29a9cfc463d65d529605dd388f1da62f836d56067", size = 42256 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/1e/677182b3925ecd8440ab1860184e518abc06ed40153ca7c4a3a399119e42/botocore_stubs-1.37.38-py3-none-any.whl", hash = "sha256:86bd9bdb07d6c2b3eaf6f7b464ef1dfa128debb997fff2b89ed76279123c6de9", size = 65604 },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.1.31"
@@ -390,7 +424,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -833,6 +867,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b", size = 8769 },
 ]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.6.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "zipp" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/33/08/c1395a292bb23fd03bdf572a1357c5a733d3eecbab877641ceacab23db6e/importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580", size = 55767 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/79/9d/0fb148dc4d6fa4a7dd1d8378168d9b4cd8d4560a6fbf6f0121c5fc34eb68/importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e", size = 26971 },
+]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -940,6 +986,138 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/91/29/df4b9b42f2be0b623cbd5e2140cafcaa2bef0759a00b7b70104dcfe2fb51/joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6", size = 301817 },
 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.23.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "jsonschema-specifications" },
+    { name = "referencing" },
+    { name = "rpds-py" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/2e/03362ee4034a4c917f697890ccd4aec0800ccf9ded7f511971c75451deec/jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4", size = 325778 }
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+]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2024.10.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "referencing" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/10/db/58f950c996c793472e336ff3655b13fbcf1e3b359dcf52dcf3ed3b52c352/jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272", size = 15561 }
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+[[package]]
+name = "levenshtein"
+version = "0.27.1"
+source = { registry = "https://pypi.org/simple" }
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+]
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+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/82/5c/e6082df02e215b846b4b8c0b887a64d7d08ffaba30605502639d44c06b82/typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122", size = 76222 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/31/08/aa4fdfb71f7de5176385bd9e90852eaf6b5d622735020ad600f2bab54385/typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f", size = 14125 },
+]
+
 [[package]]
 name = "tzdata"
 version = "2025.1"
@@ -2586,6 +3088,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df", size = 128369 },
 ]
 
+[[package]]
+name = "uuid6"
+version = "2024.7.10"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2c/56/2560a9f1ccab9e12b1b3478a3c870796cf4d8ee5652bb19b61751cced14a/uuid6-2024.7.10.tar.gz", hash = "sha256:2d29d7f63f593caaeea0e0d0dd0ad8129c9c663b29e19bdf882e864bedf18fb0", size = 8705 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d3/3e/4ae6af487ce5781ed71d5fe10aca72e7cbc4d4f45afc31b120287082a8dd/uuid6-2024.7.10-py3-none-any.whl", hash = "sha256:93432c00ba403751f722829ad21759ff9db051dea140bf81493271e8e4dd18b7", size = 6376 },
+]
+
 [[package]]
 name = "virtualenv"
 version = "20.29.2"
@@ -2783,3 +3294,12 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f5/d5/688db678e987c3e0fb17867970700b92603cadf36c56e5fb08f23e822a0c/yarl-1.18.3-cp313-cp313-win_amd64.whl", hash = "sha256:578e281c393af575879990861823ef19d66e2b1d0098414855dd367e234f5b3c", size = 315723 },
     { url = "https://files.pythonhosted.org/packages/f5/4b/a06e0ec3d155924f77835ed2d167ebd3b211a7b0853da1cf8d8414d784ef/yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b", size = 45109 },
 ]
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3f/50/bad581df71744867e9468ebd0bcd6505de3b275e06f202c2cb016e3ff56f/zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4", size = 24545 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/1a/7e4798e9339adc931158c9d69ecc34f5e6791489d469f5e50ec15e35f458/zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931", size = 9630 },
+]

From 21beb423f3966ebcc656f30bdb623acf363c7182 Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Tue, 22 Apr 2025 20:15:42 +0000
Subject: [PATCH 4/8] Fixed opik unbound error.

---
 aif_gen/dataset/validation/llm_judge.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index 4d8c2449..357add94 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -56,6 +56,7 @@ async def llm_judge_validation(
         f'CACHE_VALIDATION_{model_name}'
     )
     opik_base_url = os.environ.get('OPIK_BASE_URL')
+    opik_client = None
     if opik_base_url is not None:
         import opik
 

From f691a7c39a159aa9e33632486bee86af3738103e Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Tue, 22 Apr 2025 20:36:45 +0000
Subject: [PATCH 5/8] Deleted unused source_sample passthrough.

---
 aif_gen/dataset/validation/llm_judge.py | 13 ++++---------
 aif_gen/generate/service.py             |  1 -
 2 files changed, 4 insertions(+), 10 deletions(-)

diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index 357add94..1a234a86 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -80,7 +80,6 @@ async def llm_judge_validation(
             max_tokens_judge_response,
             dataset_idx=-1,
             metric_name='',
-            source_sample=mock_sample,
             cache=cache,
         )
         try:
@@ -116,7 +115,6 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='alignment',
-                source_sample=sample,
                 cache=cache,
             )
             coherence_chosen_coro = _get_score(
@@ -127,7 +125,6 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_chosen',
-                source_sample=sample,
                 cache=cache,
             )
             coherence_rejected_coro = _get_score(
@@ -138,7 +135,6 @@ async def llm_judge_validation(
                 max_tokens_judge_response,
                 dataset_idx=dataset_idx,
                 metric_name='coherence_rejected',
-                source_sample=sample,
                 cache=cache,
             )
             futures.append(asyncio.create_task(alignment_coro))
@@ -152,7 +148,7 @@ async def llm_judge_validation(
             if result is None:
                 continue
 
-            score, dataset_idx, metric_name, source_sample = result
+            score, dataset_idx, metric_name = result
             if score is not None:
                 results[dataset_idx][metric_name].append(score)
 
@@ -223,9 +219,8 @@ async def _get_score(
     max_tokens_judge_response: int,
     dataset_idx: int,
     metric_name: str,
-    source_sample: AlignmentDatasetSample,
     cache: Optional[AsyncElasticsearchCache] = None,
-) -> Tuple[Optional[int], int, str, AlignmentDatasetSample]:
+) -> Tuple[Optional[int], int, str]:
     try:
 
         class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
@@ -264,11 +259,11 @@ class _ValidationResponse(pydantic.BaseModel, extra='forbid'):
 
         score = max(0, min(10, score))
         logging.debug(f'Prompt: {prompt}, Response: {model_response}, Score: {score}')
-        return score, dataset_idx, metric_name, source_sample
+        return score, dataset_idx, metric_name
 
     except pydantic.ValidationError as e:
         logging.error(f'Failed to bind structured output json schema: {e}')
-        return None, dataset_idx, metric_name, source_sample
+        return None, dataset_idx, metric_name
 
 
 def _get_alignment_prompt(prompt: str, chosen: str, rejected: str) -> str:
diff --git a/aif_gen/generate/service.py b/aif_gen/generate/service.py
index ad839c66..6626aa86 100644
--- a/aif_gen/generate/service.py
+++ b/aif_gen/generate/service.py
@@ -195,7 +195,6 @@ async def generate_continual_dataset(
                         64,
                         dataset_idx=dataset_idx,
                         metric_name='alignment_generation',
-                        source_sample=sample,
                         cache=cache_judge,
                     )
 

From 0c24c11a3314d89f6de66fe622c8db091fe8ba3b Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Wed, 23 Apr 2025 23:05:36 +0000
Subject: [PATCH 6/8] Added option to distinguish between dataset names.

---
 aif_gen/dataset/validation/llm_judge.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index 1a234a86..5779d647 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -55,6 +55,7 @@ async def llm_judge_validation(
     cache = await AsyncElasticsearchCache.maybe_from_env_var(
         f'CACHE_VALIDATION_{model_name}'
     )
+    dataset_name = os.environ.get('DATASET_NAME', 'unspecified')
     opik_base_url = os.environ.get('OPIK_BASE_URL')
     opik_client = None
     if opik_base_url is not None:
@@ -157,7 +158,7 @@ async def llm_judge_validation(
             for _sample_idx, sample in enumerate(dataset.samples):
                 if opik_client is not None:
                     opik_client.trace(
-                        name=f'{_dataset_idx}/{_sample_idx}',
+                        name=f'{_sample_idx:05d} of dataset {dataset_name}/{_dataset_idx:02d}',
                         input={'prompt': sample.prompt},
                         output={
                             'chosen': sample.chosen,

From 63e809eca9ecf2679959e65eb5813f65e8a27d86 Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Wed, 23 Apr 2025 23:08:06 +0000
Subject: [PATCH 7/8] Added documentation for distinguishing between dataset
 names in Opik upload.

---
 README.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/README.md b/README.md
index 9347ec49..937b6dd7 100644
--- a/README.md
+++ b/README.md
@@ -98,6 +98,9 @@ export OPIK_PROJECT_NAME="..."
 
 # optional for self-hosted installation
 export OPIK_API_KEY="..."
+
+# optionally, specify dataset name sent to Opik
+export DATASET_NAME="education_qna_direct"
 ```
 
 ### Transform Data

From dabf2570da96c8b627b10598142920da4d6d1c82 Mon Sep 17 00:00:00 2001
From: jacobthebanana <jacob@banana.abay.cf>
Date: Mon, 5 May 2025 20:01:03 +0000
Subject: [PATCH 8/8] Added random shuffling logic to opik integration for
 manual annotation.

---
 aif_gen/dataset/validation/llm_judge.py | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/aif_gen/dataset/validation/llm_judge.py b/aif_gen/dataset/validation/llm_judge.py
index 5779d647..fece1351 100644
--- a/aif_gen/dataset/validation/llm_judge.py
+++ b/aif_gen/dataset/validation/llm_judge.py
@@ -1,6 +1,7 @@
 import asyncio
 import logging
 import os
+import random
 from collections import defaultdict
 from functools import lru_cache
 from typing import TYPE_CHECKING, Dict, List, Optional, Tuple
@@ -56,6 +57,7 @@ async def llm_judge_validation(
         f'CACHE_VALIDATION_{model_name}'
     )
     dataset_name = os.environ.get('DATASET_NAME', 'unspecified')
+    source_model_name = os.environ.get('MODEL_NAME', 'unspecified')
     opik_base_url = os.environ.get('OPIK_BASE_URL')
     opik_client = None
     if opik_base_url is not None:
@@ -155,14 +157,23 @@ async def llm_judge_validation(
 
         # Log to Opik if provided.
         for _dataset_idx, (dataset, stats) in enumerate(zip(datasets, results)):
-            for _sample_idx, sample in enumerate(dataset.samples):
+            for _sample_idx, sample in list(enumerate(dataset.samples)):
+                responses = [sample.chosen, sample.rejected]
+                random.shuffle(responses)
+
                 if opik_client is not None:
                     opik_client.trace(
                         name=f'{_sample_idx:05d} of dataset {dataset_name}/{_dataset_idx:02d}',
                         input={'prompt': sample.prompt},
                         output={
+                            'task': str(dataset.task),
+                            **{f'response {k}': v for k, v in enumerate(responses)},
+                        },
+                        metadata={
                             'chosen': sample.chosen,
                             'rejected': sample.rejected,
+                            'responses': responses,
+                            'source_model_name': source_model_name,
                             **{
                                 _metric_name: metrics[_sample_idx]
                                 for _metric_name, metrics in stats.items()