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@@ -976,3 +976,38 @@ classic_pythia-410m-step66000/runs.json filter=lfs diff=lfs merge=lfs -text
 mmlu_pythia-1b-step69000/mmlu:subject=professional_law,method=multiple_choice_joint,model=EleutherAI_pythia-1b,eval_split=test,groups=mmlu_professional_law/display_requests.json filter=lfs diff=lfs merge=lfs -text
 mmlu_pythia-1b-step69000/mmlu:subject=professional_law,method=multiple_choice_joint,model=EleutherAI_pythia-1b,eval_split=test,groups=mmlu_professional_law/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
 mmlu_pythia-1b-step69000/mmlu:subject=professional_law,method=multiple_choice_joint,model=EleutherAI_pythia-1b,eval_split=test,groups=mmlu_professional_law/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/boolq:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/boolq:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/boolq:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=LGBTQ,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=LGBTQ,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=LGBTQ,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=all,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=all,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=all,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=black,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=black,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=black,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=christian,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=christian,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=christian,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=female,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=female,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=female,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=male,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=male,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=male,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=muslim,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=muslim,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=muslim,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=other_religions,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=other_religions,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=other_religions,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=white,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=white,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/civil_comments:demographic=white,model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/imdb:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/display_requests.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/imdb:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/instances.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/imdb:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/per_instance_stats.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/imdb:model=EleutherAI_pythia-2.8b,data_augmentation=canonical/scenario_state.json filter=lfs diff=lfs merge=lfs -text
+classic_pythia-2.8b-step64/runs.json filter=lfs diff=lfs merge=lfs -text

classic_pythia-2.8b-step64/babi_qa:task=15,model=EleutherAI_pythia-2.8b/run_spec.json

@@ -0,0 +1,76 @@
+{
+  "name": "babi_qa:task=15,model=EleutherAI_pythia-2.8b",
+  "scenario_spec": {
+    "class_name": "helm.benchmark.scenarios.babi_qa_scenario.BabiQAScenario",
+    "args": {
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+    }
+  },
+  "adapter_spec": {
+    "method": "generation",
+    "global_prefix": "",
+    "global_suffix": "",
+    "instructions": "",
+    "input_prefix": "Passage: ",
+    "input_suffix": "\n",
+    "reference_prefix": "A. ",
+    "reference_suffix": "\n",
+    "chain_of_thought_prefix": "",
+    "chain_of_thought_suffix": "\n",
+    "output_prefix": "Answer: ",
+    "output_suffix": "\n",
+    "instance_prefix": "\n",
+    "substitutions": [],
+    "max_train_instances": 5,
+    "max_eval_instances": 1000,
+    "num_outputs": 1,
+    "num_train_trials": 1,
+    "num_trials": 1,
+    "sample_train": true,
+    "model_deployment": "EleutherAI/pythia-2.8b",
+    "model": "EleutherAI/pythia-2.8b",
+    "model_ability": 0.0,
+    "temperature": 0.0,
+    "max_tokens": 5,
+    "stop_sequences": [
+      "\n"
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+    "multi_label": false
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+  "metric_specs": [
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+      "args": {
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+          "exact_match",
+          "quasi_exact_match",
+          "prefix_exact_match",
+          "quasi_prefix_exact_match"
+        ]
+      }
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.BasicReferenceMetric",
+      "args": {}
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.InstancesPerSplitMetric",
+      "args": {}
+    }
+  ],
+  "data_augmenter_spec": {
+    "perturbation_specs": [],
+    "should_augment_train_instances": false,
+    "should_include_original_train": false,
+    "should_skip_unchanged_train": false,
+    "should_augment_eval_instances": false,
+    "should_include_original_eval": false,
+    "should_skip_unchanged_eval": false,
+    "seeds_per_instance": 1
+  },
+  "groups": [
+    "babi_qa"
+  ],
+  "reeval_mode": false,
+  "reeval_max_samples": 50
+}

classic_pythia-2.8b-step64/babi_qa:task=15,model=EleutherAI_pythia-2.8b/scenario.json

@@ -0,0 +1,8 @@
+{
+  "name": "babi_qa",
+  "description": "Question answering dataset with reasoning questions.",
+  "tags": [
+    "question_answering"
+  ],
+  "definition_path": "https://github.com/stanford-crfm/helm/blob/main/src/helm/benchmark/scenarios/babi_qa_scenario.py"
+}

classic_pythia-2.8b-step64/babi_qa:task=15,model=EleutherAI_pythia-2.8b/stats.json

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classic_pythia-2.8b-step64/babi_qa:task=19,model=EleutherAI_pythia-2.8b/run_spec.json

@@ -0,0 +1,76 @@
+{
+  "name": "babi_qa:task=19,model=EleutherAI_pythia-2.8b",
+  "scenario_spec": {
+    "class_name": "helm.benchmark.scenarios.babi_qa_scenario.BabiQAScenario",
+    "args": {
+      "task": 19
+    }
+  },
+  "adapter_spec": {
+    "method": "generation",
+    "global_prefix": "",
+    "global_suffix": "",
+    "instructions": "",
+    "input_prefix": "Passage: ",
+    "input_suffix": "\n",
+    "reference_prefix": "A. ",
+    "reference_suffix": "\n",
+    "chain_of_thought_prefix": "",
+    "chain_of_thought_suffix": "\n",
+    "output_prefix": "Answer: ",
+    "output_suffix": "\n",
+    "instance_prefix": "\n",
+    "substitutions": [],
+    "max_train_instances": 5,
+    "max_eval_instances": 1000,
+    "num_outputs": 1,
+    "num_train_trials": 1,
+    "num_trials": 1,
+    "sample_train": true,
+    "model_deployment": "EleutherAI/pythia-2.8b",
+    "model": "EleutherAI/pythia-2.8b",
+    "model_ability": 0.0,
+    "temperature": 0.0,
+    "max_tokens": 5,
+    "stop_sequences": [
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+    "multi_label": false
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+      "args": {
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+          "quasi_exact_match",
+          "prefix_exact_match",
+          "quasi_prefix_exact_match"
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+      }
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.BasicReferenceMetric",
+      "args": {}
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.InstancesPerSplitMetric",
+      "args": {}
+    }
+  ],
+  "data_augmenter_spec": {
+    "perturbation_specs": [],
+    "should_augment_train_instances": false,
+    "should_include_original_train": false,
+    "should_skip_unchanged_train": false,
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+    "should_include_original_eval": false,
+    "should_skip_unchanged_eval": false,
+    "seeds_per_instance": 1
+  },
+  "groups": [
+    "babi_qa"
+  ],
+  "reeval_mode": false,
+  "reeval_max_samples": 50
+}

classic_pythia-2.8b-step64/babi_qa:task=19,model=EleutherAI_pythia-2.8b/scenario.json

@@ -0,0 +1,8 @@
+{
+  "name": "babi_qa",
+  "description": "Question answering dataset with reasoning questions.",
+  "tags": [
+    "question_answering"
+  ],
+  "definition_path": "https://github.com/stanford-crfm/helm/blob/main/src/helm/benchmark/scenarios/babi_qa_scenario.py"
+}

classic_pythia-2.8b-step64/babi_qa:task=19,model=EleutherAI_pythia-2.8b/stats.json

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classic_pythia-2.8b-step64/babi_qa:task=3,model=EleutherAI_pythia-2.8b/run_spec.json

@@ -0,0 +1,76 @@
+{
+  "name": "babi_qa:task=3,model=EleutherAI_pythia-2.8b",
+  "scenario_spec": {
+    "class_name": "helm.benchmark.scenarios.babi_qa_scenario.BabiQAScenario",
+    "args": {
+      "task": 3
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+  },
+  "adapter_spec": {
+    "method": "generation",
+    "global_prefix": "",
+    "global_suffix": "",
+    "instructions": "",
+    "input_prefix": "Passage: ",
+    "input_suffix": "\n",
+    "reference_prefix": "A. ",
+    "reference_suffix": "\n",
+    "chain_of_thought_prefix": "",
+    "chain_of_thought_suffix": "\n",
+    "output_prefix": "Answer: ",
+    "output_suffix": "\n",
+    "instance_prefix": "\n",
+    "substitutions": [],
+    "max_train_instances": 5,
+    "max_eval_instances": 1000,
+    "num_outputs": 1,
+    "num_train_trials": 1,
+    "num_trials": 1,
+    "sample_train": true,
+    "model_deployment": "EleutherAI/pythia-2.8b",
+    "model": "EleutherAI/pythia-2.8b",
+    "model_ability": 0.0,
+    "temperature": 0.0,
+    "max_tokens": 5,
+    "stop_sequences": [
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+    "multi_label": false
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+      "args": {
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+          "quasi_exact_match",
+          "prefix_exact_match",
+          "quasi_prefix_exact_match"
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+      }
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.BasicReferenceMetric",
+      "args": {}
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.InstancesPerSplitMetric",
+      "args": {}
+    }
+  ],
+  "data_augmenter_spec": {
+    "perturbation_specs": [],
+    "should_augment_train_instances": false,
+    "should_include_original_train": false,
+    "should_skip_unchanged_train": false,
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+    "should_include_original_eval": false,
+    "should_skip_unchanged_eval": false,
+    "seeds_per_instance": 1
+  },
+  "groups": [
+    "babi_qa"
+  ],
+  "reeval_mode": false,
+  "reeval_max_samples": 50
+}

classic_pythia-2.8b-step64/babi_qa:task=3,model=EleutherAI_pythia-2.8b/scenario.json

@@ -0,0 +1,8 @@
+{
+  "name": "babi_qa",
+  "description": "Question answering dataset with reasoning questions.",
+  "tags": [
+    "question_answering"
+  ],
+  "definition_path": "https://github.com/stanford-crfm/helm/blob/main/src/helm/benchmark/scenarios/babi_qa_scenario.py"
+}

classic_pythia-2.8b-step64/babi_qa:task=3,model=EleutherAI_pythia-2.8b/stats.json

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classic_pythia-2.8b-step64/babi_qa:task=all,model=EleutherAI_pythia-2.8b/run_spec.json

@@ -0,0 +1,76 @@
+{
+  "name": "babi_qa:task=all,model=EleutherAI_pythia-2.8b",
+  "scenario_spec": {
+    "class_name": "helm.benchmark.scenarios.babi_qa_scenario.BabiQAScenario",
+    "args": {
+      "task": "all"
+    }
+  },
+  "adapter_spec": {
+    "method": "generation",
+    "global_prefix": "",
+    "global_suffix": "",
+    "instructions": "",
+    "input_prefix": "Passage: ",
+    "input_suffix": "\n",
+    "reference_prefix": "A. ",
+    "reference_suffix": "\n",
+    "chain_of_thought_prefix": "",
+    "chain_of_thought_suffix": "\n",
+    "output_prefix": "Answer: ",
+    "output_suffix": "\n",
+    "instance_prefix": "\n",
+    "substitutions": [],
+    "max_train_instances": 5,
+    "max_eval_instances": 1000,
+    "num_outputs": 1,
+    "num_train_trials": 1,
+    "num_trials": 1,
+    "sample_train": true,
+    "model_deployment": "EleutherAI/pythia-2.8b",
+    "model": "EleutherAI/pythia-2.8b",
+    "model_ability": 0.0,
+    "temperature": 0.0,
+    "max_tokens": 5,
+    "stop_sequences": [
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+    "multi_label": false
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+      "args": {
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+          "quasi_exact_match",
+          "prefix_exact_match",
+          "quasi_prefix_exact_match"
+        ]
+      }
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.BasicReferenceMetric",
+      "args": {}
+    },
+    {
+      "class_name": "helm.benchmark.metrics.basic_metrics.InstancesPerSplitMetric",
+      "args": {}
+    }
+  ],
+  "data_augmenter_spec": {
+    "perturbation_specs": [],
+    "should_augment_train_instances": false,
+    "should_include_original_train": false,
+    "should_skip_unchanged_train": false,
+    "should_augment_eval_instances": false,
+    "should_include_original_eval": false,
+    "should_skip_unchanged_eval": false,
+    "seeds_per_instance": 1
+  },
+  "groups": [
+    "babi_qa"
+  ],
+  "reeval_mode": false,
+  "reeval_max_samples": 50
+}

classic_pythia-2.8b-step64/babi_qa:task=all,model=EleutherAI_pythia-2.8b/scenario.json

@@ -0,0 +1,8 @@
+{
+  "name": "babi_qa",
+  "description": "Question answering dataset with reasoning questions.",
+  "tags": [
+    "question_answering"
+  ],
+  "definition_path": "https://github.com/stanford-crfm/helm/blob/main/src/helm/benchmark/scenarios/babi_qa_scenario.py"
+}

classic_pythia-2.8b-step64/babi_qa:task=all,model=EleutherAI_pythia-2.8b/stats.json

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