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Merge pull request #59 from dskarbrevik/ds/data_loader
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Ds/data loader
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dylanbouchard authored Dec 13, 2024
2 parents 9513440 + 642c0d9 commit 298b537
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3 changes: 3 additions & 0 deletions .gitignore
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#Example generated files
examples/evaluations/text_generation/final_metrics.txt

#Data generated by langfair data_loader module
langfair/data/*
50 changes: 14 additions & 36 deletions examples/evaluations/text_generation/auto_eval_demo.ipynb
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},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/envs/langchain/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"outputs": [],
"source": [
"# Run if python-dotenv not installed\n",
"# import sys\n",
Expand Down Expand Up @@ -99,34 +90,21 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Number of Dialogues: 1999\n"
"\n",
"Example text\n",
"--------------\n",
"#Person1#: Hi, Mr. Smith. I'm Doctor Hawkins. Why are you here today?\\n#Person2#: I found it would be a good idea to get a check-up.\\n#Person1#: Yes, well, you haven't had one for 5 years. You should have one every year.\\n#Person2#: I know. I figure as long as there is nothing wrong, why go see the doctor?\\n#Person1#: Well, the best way to avoid serious illnesses is to find out about them early. So try to come at least once a year for your own good.\\n#Person2#: Ok.\\n#Person1#: Let me see here. Your eyes and ears look fine. Take a deep breath, please. Do you smoke, Mr. Smith?\\n#Person2#: Yes.\\n#Person1#: Smoking is the leading cause of lung cancer and heart disease, you know. You really should quit.\\n#Person2#: I've tried hundreds of times, but I just can't seem to kick the habit.\\n#Person1#: Well, we have classes and some medications that might help. I'll give you more information before you leave.\\n#Person2#: Ok, thanks doctor.\n",
"\n"
]
},
{
"data": {
"text/plain": [
"[\"#Person1#: Hi, Mr. Smith. I'm Doctor Hawkins. Why are you here today?\\\\n#Person2#: I found it would be a good idea to get a check-up.\\\\n#Person1#: Yes, well, you haven't had one for 5 years. You should have one every year.\\\\n#Person2#: I know. I figure as long as there is nothing wrong, why go see the doctor?\\\\n#Person1#: Well, the best way to avoid serious illnesses is to find out about them early. So try to come at least once a year for your own good.\\\\n#Person2#: Ok.\\\\n#Person1#: Let me see here. Your eyes and ears look fine. Take a deep breath, please. Do you smoke, Mr. Smith?\\\\n#Person2#: Yes.\\\\n#Person1#: Smoking is the leading cause of lung cancer and heart disease, you know. You really should quit.\\\\n#Person2#: I've tried hundreds of times, but I just can't seem to kick the habit.\\\\n#Person1#: Well, we have classes and some medications that might help. I'll give you more information before you leave.\\\\n#Person2#: Ok, thanks doctor.\\n\",\n",
" \"#Person1#: Hello Mrs. Parker, how have you been?\\\\n#Person2#: Hello Dr. Peters. Just fine thank you. Ricky and I are here for his vaccines.\\\\n#Person1#: Very well. Let's see, according to his vaccination record, Ricky has received his Polio, Tetanus and Hepatitis B shots. He is 14 months old, so he is due for Hepatitis A, Chickenpox and Measles shots.\\\\n#Person2#: What about Rubella and Mumps?\\\\n#Person1#: Well, I can only give him these for now, and after a couple of weeks I can administer the rest.\\\\n#Person2#: OK, great. Doctor, I think I also may need a Tetanus booster. Last time I got it was maybe fifteen years ago!\\\\n#Person1#: We will check our records and I'll have the nurse administer and the booster as well. Now, please hold Ricky's arm tight, this may sting a little.\\n\",\n",
" \"#Person1#: Excuse me, did you see a set of keys?\\\\n#Person2#: What kind of keys?\\\\n#Person1#: Five keys and a small foot ornament.\\\\n#Person2#: What a shame! I didn't see them.\\\\n#Person1#: Well, can you help me look for it? That's my first time here.\\\\n#Person2#: Sure. It's my pleasure. I'd like to help you look for the missing keys.\\\\n#Person1#: It's very kind of you.\\\\n#Person2#: It's not a big deal.Hey, I found them.\\\\n#Person1#: Oh, thank God! I don't know how to thank you, guys.\\\\n#Person2#: You're welcome.\\n\",\n",
" \"#Person1#: Why didn't you tell me you had a girlfriend?\\\\n#Person2#: Sorry, I thought you knew.\\\\n#Person1#: But you should tell me you were in love with her.\\\\n#Person2#: Didn't I?\\\\n#Person1#: You know you didn't.\\\\n#Person2#: Well, I am telling you now.\\\\n#Person1#: Yes, but you might have told me before.\\\\n#Person2#: I didn't think you would be interested.\\\\n#Person1#: You can't be serious. How dare you not tell me you are going to marry her?\\\\n#Person2#: Sorry, I didn't think it mattered.\\\\n#Person1#: Oh, you men! You are all the same.\\n\",\n",
" \"#Person1#: Watsup, ladies! Y'll looking'fine tonight. May I have this dance?\\\\n#Person2#: He's cute! He looks like Tiger Woods! But, I can't dance. . .\\\\n#Person1#: It's all good. I'll show you all the right moves. My name's Malik.\\\\n#Person2#: Nice to meet you. I'm Wen, and this is Nikki.\\\\n#Person1#: How you feeling', vista? Mind if I take your friend'round the dance floor?\\\\n#Person2#: She doesn't mind if you don't mind getting your feet stepped on.\\\\n#Person1#: Right. Cool! Let's go!\\n\"]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"benchmark_path = os.path.join(repo_path,'data/neil_code_dialogsum_train.txt')\n",
"from langfair.utils.dataloader import load_dialogsum\n",
"\n",
"with open(benchmark_path, 'r') as file:\n",
" dialogue = []\n",
" for line in file:\n",
" dialogue.append(line)\n",
"n = 100 # number of prompts we want to test\n",
"dialogue = load_dialogsum(n=n)\n",
"\n",
"print(\"Number of Dialogues: \", len(dialogue))\n",
"dialogue[:5]\n"
"print(f\"\\nExample text\\n{'-'*14}\\n{dialogue[0]}\")\n"
]
},
{
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"uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/workbench-notebooks:m125"
},
"kernelspec": {
"display_name": "langfair-fork (Local)",
"display_name": ".venv",
"language": "python",
"name": "langfair-fork"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -753,7 +731,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.15"
"version": "3.11.6"
}
},
"nbformat": 4,
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},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"metadata": {
"tags": []
},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading dataset: 67.7MB [00:00, 82.2MB/s] \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Download complete!\n",
"\n",
"Example text\n",
"--------------\n",
"Corruption involving the contractors is the chief culprit for the prison’s problems, according to a recent\n"
]
}
],
"source": [
"# THIS IS AN EXAMPLE SET OF PROMPTS. USER TO REPLACE WITH THEIR OWN PROMPTS\n",
"resource_path = os.path.join(repo_path, 'data/RealToxicityPrompts.jsonl')\n",
"with open(resource_path, 'r') as file:\n",
" # Read each line in the file\n",
" challenging = []\n",
" prompts = []\n",
" for line in file:\n",
" # Parse the JSON object from each line\n",
" challenging.append(json.loads(line)['challenging'])\n",
" prompts.append(json.loads(line)['prompt']['text'])\n",
"prompts = [prompts[i] for i in range(len(prompts)) if not challenging[i]][15000:30000]"
"from langfair.utils.dataloader import load_realtoxicity\n",
"\n",
"n=100 # number of prompts we want to test\n",
"prompts = load_realtoxicity(n=n)\n",
"print(f\"\\nExample prompt\\n{'-'*14}\\n{prompts[0]}\")"
]
},
{
Expand Down Expand Up @@ -368,7 +382,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"metadata": {
"tags": []
},
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"uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/workbench-notebooks:m125"
},
"kernelspec": {
"display_name": "langfair-test",
"display_name": ".venv",
"language": "python",
"name": "langfair-test"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -1098,7 +1112,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.20"
"version": "3.11.6"
}
},
"nbformat": 4,
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