seed-data

notebooks/.ipynb_checkpoints/convert-lm-eval-harness-checkpoint.ipynb

@@ -39,7 +39,7 @@
     "task_name = 'hellaswag'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        text = item['ctx'] + item['endings'][int(item['label'])]\n",
     "        f.write(\n",
@@ -117,7 +117,7 @@
     "task_name = 'boolq'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        text = f\"{item['passage']}\\nQuestion: {item['question']}?\\nAnswer: {item['answer']}\"\n",
     "        f.write(\n",
@@ -144,7 +144,7 @@
     "task_name = 'arc_challenge'\n",
     "data = load_dataset('ai2_arc', 'ARC-Challenge')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['choices']['label'].index(item['answerKey'])\n",
     "        q = item['question']\n",
@@ -174,7 +174,7 @@
     "task_name = 'arc_easy'\n",
     "data = load_dataset('ai2_arc', 'ARC-Easy')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['choices']['label'].index(item['answerKey'])\n",
     "        q = item['question']\n",
@@ -207,7 +207,7 @@
     "task_name = 'copa'\n",
     "data = load_dataset('super_glue', task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['label']\n",
     "        premise = item['premise']\n",
@@ -248,7 +248,7 @@
     "task_name = 'piqa'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['label']\n",
     "        goal = item['goal']\n",
@@ -282,7 +282,7 @@
     "task_name = 'winogrande'\n",
     "data = load_dataset(task_name, 'winogrande_xl')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['answer']\n",
     "        sentence = item['sentence']\n",
@@ -309,7 +309,7 @@
     }
    ],
    "source": [
-    "dataset = load_dataset(\"juewang/target-data\", data_files='*.jsonl', split='train')"
+    "dataset = load_dataset(\"juewang/target-data\", data_files='seed_data/*.jsonl', split='train')"
    ]
   },
   {

notebooks/convert-lm-eval-harness.ipynb

@@ -39,7 +39,7 @@
     "task_name = 'hellaswag'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        text = item['ctx'] + item['endings'][int(item['label'])]\n",
     "        f.write(\n",
@@ -117,7 +117,7 @@
     "task_name = 'boolq'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        text = f\"{item['passage']}\\nQuestion: {item['question']}?\\nAnswer: {item['answer']}\"\n",
     "        f.write(\n",
@@ -144,7 +144,7 @@
     "task_name = 'arc_challenge'\n",
     "data = load_dataset('ai2_arc', 'ARC-Challenge')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['choices']['label'].index(item['answerKey'])\n",
     "        q = item['question']\n",
@@ -174,7 +174,7 @@
     "task_name = 'arc_easy'\n",
     "data = load_dataset('ai2_arc', 'ARC-Easy')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['choices']['label'].index(item['answerKey'])\n",
     "        q = item['question']\n",
@@ -207,7 +207,7 @@
     "task_name = 'copa'\n",
     "data = load_dataset('super_glue', task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['label']\n",
     "        premise = item['premise']\n",
@@ -248,7 +248,7 @@
     "task_name = 'piqa'\n",
     "data = load_dataset(task_name)\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['label']\n",
     "        goal = item['goal']\n",
@@ -282,7 +282,7 @@
     "task_name = 'winogrande'\n",
     "data = load_dataset(task_name, 'winogrande_xl')\n",
     "data.shuffle(seed=42)\n",
-    "with open(f'../{task_name}.jsonl', 'w') as f:\n",
+    "with open(f'../seed_data{task_name}.jsonl', 'w') as f:\n",
     "    for i_item, item in enumerate(data['train']):\n",
     "        i_a = item['answer']\n",
     "        sentence = item['sentence']\n",
@@ -309,7 +309,7 @@
     }
    ],
    "source": [
-    "dataset = load_dataset(\"juewang/target-data\", data_files='*.jsonl', split='train')"
+    "dataset = load_dataset(\"juewang/target-data\", data_files='seed_data/*.jsonl', split='train')"
    ]
   },
   {

seed_data/arc_challenge.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d64da34cc4eb901214d1c4317a73579c31d0d82d2cfca7d62ceff07f51e2e9c
+size 240469

seed_data/arc_easy.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:376d29e4f199c6899ec3ea22f34f35e62a4b59dbf722d194b02f151b2dca7293
+size 423646

seed_data/boolq.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a3f37660a3909415cdeb102c2dbe06187d607fe7e49bd6a6129bb6dfa5bdc3a
+size 6332634

seed_data/copa.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:261a8413a7fa5af6b129dee1c435976f4c7086187c5ea3dd5fd14939ee14bb92
+size 40851

seed_data/hellaswag.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dc59132b7c9ed7513eb428d8bde1f5214c24aaa196a404c05acee36cc5c9838
+size 15630002

seed_data/piqa.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68f23de850360818d0e3733f9fe1540929a9de22e53d25145d831c5932ad520b
+size 3003394

seed_data/winogrande.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac8f07178644445f6421314b899ff976f49c25804d43cd163734cf139f380681
+size 5711173