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"model_module_version": "1.5.0",
+ "model_name": "ProgressStyleModel",
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"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
@@ -5244,10 +5245,34 @@
"description_width": ""
}
},
- "652cebdce10d46d8a25d2d4125721b50": {
+ "fc9dd8841ed64650b4266fa02c6046af": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "FloatProgressModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/controls",
+ "_model_module_version": "1.5.0",
+ "_model_name": "FloatProgressModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/controls",
+ "_view_module_version": "1.5.0",
+ "_view_name": "ProgressView",
+ "bar_style": "success",
+ "description": "",
+ "description_tooltip": null,
+ "layout": "IPY_MODEL_7afe5b5a759d48d7a926ce20d6032758",
+ "max": 1,
+ "min": 0,
+ "orientation": "horizontal",
+ "style": "IPY_MODEL_5d17cd9ebc724de3805e438136233136",
+ "value": 1
+ }
+ },
+ "ff8b818b9da648f994462c097100569c": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -5295,25 +5320,10 @@
"visibility": null,
"width": null
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- },
- "902c87fc400746d9a6b8a301d590c96a": {
- "model_module": "@jupyter-widgets/controls",
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- "_model_module": "@jupyter-widgets/controls",
- "_model_module_version": "1.5.0",
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}
}
}
},
"nbformat": 4,
"nbformat_minor": 0
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\ No newline at end of file
+}
diff --git a/docs/cookbooks/sft_data_generation_and_unsloth_finetuning_Qwen2_5_7B.ipynb b/docs/cookbooks/sft_data_generation_and_unsloth_finetuning_Qwen2_5_7B.ipynb
new file mode 100644
index 0000000000..a78f119342
--- /dev/null
+++ b/docs/cookbooks/sft_data_generation_and_unsloth_finetuning_Qwen2_5_7B.ipynb
@@ -0,0 +1,8605 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "8LKIA_qnVKOz"
+ },
+ "source": [
+ "### Agenetic Data generation with CAMEL and finetuning Qwen models with Unsloth\n",
+ "\n",
+ "CAMEL and Unsloth make an excellent pair. In this notebook we will combine the two to train a model to be proficient at content on a page\n",
+ "\n",
+ "You will learn how to do data generation with CAMEL, how to train, and how to run the model."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "D41AT04dSS0N"
+ },
+ "source": [
+ "For more detailed usage information, please refer to our [cookbook](https://colab.research.google.com/drive/1sMnWOvdmASEMhsRIOUSAeYuEywby6FRV?usp=sharing)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "To run this, press \"*Runtime*\" and press \"*Run all*\" on a **free** Tesla T4 Google Colab instance!\n",
+ "\n",
+ "⭐ **Star the Repo**\n",
+ "\n",
+ "If you find CAMEL useful or interesting, please consider giving it a star on our [CAMEL GitHub Repo](https://github.com/camel-ai/camel)! Your stars help others find this project and motivate us to continue improving it."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "PwA0mbQnPRby"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "2eSvM9zX_2d3"
+ },
+ "outputs": [],
+ "source": [
+ "%%capture\n",
+ "!pip install unsloth\n",
+ "# Install CAMEL-AI with no optional dependencies\n",
+ "!pip install git+https://github.com/camel-ai/camel.git@43336c9\n",
+ "# Get Unsloth latest unsloth nightly\n",
+ "!pip uninstall unsloth -y && pip install --upgrade --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git\n",
+ "!pip install firecrawl"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "r2v_X2fA0Df5"
+ },
+ "source": [
+ "First we will set the OPENAI_API_KEY that will be used to generate the data.\n",
+ "\n",
+ "CAMEL supports many other models. See [here](https://docs.camel-ai.org/key_modules/models.html) for a list."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "gq4Q0u0ZTvGs",
+ "outputId": "1fe8e00d-451f-4d82-b094-a4ee34c85abb"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Enter your OpenAI API key: ··········\n",
+ "Enter your Firecrawl API key: ··········\n"
+ ]
+ }
+ ],
+ "source": [
+ "from getpass import getpass\n",
+ "import os\n",
+ "\n",
+ "openai_api_key = getpass('Enter your OpenAI API key: ')\n",
+ "os.environ[\"OPENAI_API_KEY\"] = openai_api_key\n",
+ "\n",
+ "# Generate an API key at https://www.firecrawl.dev/app/api-keys\n",
+ "firecrawl_api_key = getpass('Enter your Firecrawl API key: ')\n",
+ "os.environ[\"FIRECRAWL_API_KEY\"] = firecrawl_api_key"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "iP5-hPz-0T6x"
+ },
+ "source": [
+ "Next we will setup our model for training using Unsloth."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 434,
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+ ]
+ },
+ "id": "QmUBVEnvCDJv",
+ "outputId": "d9d63ac5-7fc8-453a-d88b-5dade8d9967a"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
+ "🦥 Unsloth Zoo will now patch everything to make training faster!\n",
+ "==((====))== Unsloth 2024.12.2: Fast Qwen2 patching. Transformers:4.46.2.\n",
+ " \\\\ /| GPU: Tesla T4. Max memory: 14.748 GB. Platform: Linux.\n",
+ "O^O/ \\_/ \\ Torch: 2.5.1+cu121. CUDA: 7.5. CUDA Toolkit: 12.1. Triton: 3.1.0\n",
+ "\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.28.post3. FA2 = False]\n",
+ " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n",
+ "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "6e771ea9a0c5461aaf14b11e30ab5de8",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/5.55G [00:00']"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from camel.messages.conversion import AlpacaItem\n",
+ "\n",
+ "temp_model = FastLanguageModel.for_inference(model) # Enable native 2x faster inference\n",
+ "inputs = tokenizer(\n",
+ "[\n",
+ "\n",
+ " AlpacaItem(\n",
+ " instruction=\"Explain how can I stay up to date with the CAMEL community.\",\n",
+ " input=\"\",\n",
+ " output=\"\", # leave this blank for generation!\n",
+ " ).to_string()\n",
+ "\n",
+ "], return_tensors = \"pt\").to(\"cuda\")\n",
+ "\n",
+ "outputs = temp_model.generate(**inputs, max_new_tokens = 512, use_cache = True)\n",
+ "temp_model = None\n",
+ "tokenizer.batch_decode(outputs)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "JshfcE5kdp2n"
+ },
+ "source": [
+ "It seems to very broadly know what CAMEL is, but gives some hallucinations and says nothing concrete. We can do better."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "_X_Nydp9K47x"
+ },
+ "source": [
+ "### Data models\n",
+ "We want to generate data in the Alpaca format, so we can use CAMEL's built-in AlpacaItem class which has some handy conversion functions for us.\n",
+ "\n",
+ "We will be using CAMEL's structured output to generate all of these items in one request, which is much faster and cheaper.\n",
+ "\n",
+ "\n",
+ "Here we create a wrapper around the AlpacaItem to help the model know how many have been generated as it's going along, and another wrapper class that represents a list of these."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "TdJnqzXWuAUK"
+ },
+ "outputs": [],
+ "source": [
+ "from pydantic import BaseModel\n",
+ "\n",
+ "class NumberedAlpacaItem(BaseModel):\n",
+ " number: int\n",
+ " item: AlpacaItem\n",
+ "\n",
+ "\n",
+ "class AlpacaItemResponse(BaseModel):\n",
+ " \"\"\"\n",
+ " Represents an instruction-response item in the Alpaca format.\n",
+ " \"\"\"\n",
+ " items: list[NumberedAlpacaItem]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vITh0KVJ10qX"
+ },
+ "source": [
+ "\n",
+ "### Data generation\n",
+ "Next we define our data generation function. It takes a source content, and generates a list of instruction-input-response triplets around it.\n",
+ "\n",
+ "We will use this later to train our model to be proficient with the source content."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "mBno-K2rTCfS"
+ },
+ "outputs": [],
+ "source": [
+ "from typing import List\n",
+ "from camel.loaders import Firecrawl\n",
+ "from camel.models import ModelFactory\n",
+ "from camel.types import ModelPlatformType, ModelType\n",
+ "from camel.configs import ChatGPTConfig\n",
+ "from camel.agents import ChatAgent\n",
+ "import json\n",
+ "\n",
+ "\n",
+ "def generate_alpaca_items(content: str, n_items: int, start_num: int = 1, examples: List[AlpacaItem] = None) -> List[AlpacaItem]:\n",
+ " system_msg = \"\"\"\n",
+ "You are an AI assistant generating detailed, accurate responses based on the provided content.\n",
+ "You will be given a reference content, and you must generate a specific number of AlpacaItems.\n",
+ "These are instruction-input-response triplets, where the input is the context or examples.\n",
+ "\n",
+ "Add a number to the items to keep track of the order. Generate exactly that many.\n",
+ "\n",
+ "For each instruction, imagine but do not include a real world scenario and real user in that scenario to inform realistic and varied instructions. Avoid common sense questions and answers.\n",
+ "\n",
+ "Include multiple lines in the output as appropriate to provide sufficient detail. Cite the most relevant context verbatim in output fields, do not omit anything important.\n",
+ "\n",
+ "Leave the input field blank.\n",
+ "\n",
+ "Ensure all of the most significant parts of the context are covered.\n",
+ "\n",
+ "Start with open ended instructions, then move to more specific ones. Consider the starting number for an impression of what has already been generated.\n",
+ " \"\"\"\n",
+ "\n",
+ " examples_str = \"\"\n",
+ " if examples:\n",
+ " examples_str = \"\\n\\nHere are some example items for reference:\\n\" + \\\n",
+ " \"\\n\".join(ex.model_dump_json() for ex in examples)\n",
+ "\n",
+ " model = ModelFactory.create(\n",
+ " model_platform=ModelPlatformType.OPENAI,\n",
+ " model_type=ModelType.GPT_4O_MINI,\n",
+ " model_config_dict=ChatGPTConfig(\n",
+ " temperature=0.6, response_format=AlpacaItemResponse\n",
+ " ).as_dict(),\n",
+ " )\n",
+ "\n",
+ " agent = ChatAgent(\n",
+ " system_message=system_msg,\n",
+ " model=model,\n",
+ " )\n",
+ "\n",
+ " prompt = f\"Content reference:\\n{content}{examples_str}\\n\\n Generate {n_items} AlpacaItems. The first should start numbering at {start_num}.\"\n",
+ " response = agent.step(prompt)\n",
+ "\n",
+ " # Parse the generated JSON to our wrapper class\n",
+ " alpaca_items = [n_item.item for n_item in\n",
+ " AlpacaItemResponse.\n",
+ " model_validate_json(response.msgs[0].content).items]\n",
+ "\n",
+ " return alpaca_items\n",
+ "\n",
+ "\n",
+ "def save_json(data: List, filename: str):\n",
+ " with open(filename, 'w', encoding='utf-8') as f:\n",
+ " json.dump([entry.model_dump() for entry in data], f, indent=2,\n",
+ " ensure_ascii=False)\n",
+ "\n",
+ "\n",
+ "# Few shot examples to ensure the right amount of detail\n",
+ "examples = [\n",
+ " AlpacaItem(\n",
+ " instruction=\"Explain the process for sprint planning and review in CAMEL.\",\n",
+ " input=\"\",\n",
+ " output=\"The process for sprint planning and review in CAMEL includes:\\n1. **Sprint Duration**: Each sprint lasts two weeks for development and one week for review.\\n2. **Planning Meeting**: Conducted biweekly, where the founder highlights the sprint goal and developers select items for the sprint.\\n3. **Review Meeting**: Stakeholders review the delivered features and provide feedback on the work completed during the sprint.\"\n",
+ " )\n",
+ "]\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "AqdoebfqMxb2"
+ },
+ "source": [
+ "# Point to content and generate data!\n",
+ "Now we point to the content that we wish to generate SFT data around and use CAMEL's Firecrawl integration to get this content in a nice markdown format.\n",
+ "\n",
+ "You can get a Firecrawl API key from [here](https://www.firecrawl.dev/app/api-keys)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LxkdPzNVMvmH",
+ "outputId": "834b9ea2-6a92-49cc-f9e0-06996622e411"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/usr/local/lib/python3.10/dist-packages/pydantic/_internal/_fields.py:172: UserWarning: Field name \"schema\" in \"FirecrawlApp.ExtractParams\" shadows an attribute in parent \"BaseModel\"\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Generated 10 items\n",
+ "Generated 50 items\n",
+ "Generated 50 items\n",
+ "Generated 50 items\n",
+ "Generated 50 items\n",
+ "Generated 50 items\n",
+ "[AlpacaItem(instruction='Describe the guidelines for contributing to code in the CAMEL project.', input='', output=\"If you're eager to contribute to this project, that's fantastic! We're thrilled to have your support. \\n\\n- If you are a contributor from the community:\\n - Follow the [Fork-and-Pull-Request](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow when opening your pull requests.\\n- If you are a member of [CAMEL-AI.org](https://github.com/camel-ai):\\n - Follow the [Checkout-and-Pull-Request](https://dev.to/ceceliacreates/how-to-create-a-pull-request-on-github-16h1) workflow when opening your pull request; this will allow the PR to pass all tests that require [GitHub Secrets](https://docs.github.com/en/actions/security-guides/encrypted-secrets).\"), AlpacaItem(instruction='What are the key communication channels for the CAMEL project?', input='', output='The key communication channels for the CAMEL project include:\\n- **Discord:** Join here [Discord Link](https://discord.camel-ai.org/)\\n- **WeChat:** Scan the QR code [here](https://ghli.org/camel/wechat.png)\\n- **Slack:** [Join here](https://join.slack.com/t/camel-ai/shared_invite/zt-2g7xc41gy-_7rcrNNAArIP6sLQqldkqQ)'), AlpacaItem(instruction='Explain the purpose of code reviews in the CAMEL project.', input='', output='The purpose of code reviews in the CAMEL project is to:\\n- Maintain Code Quality: Ensure that the codebase remains clean, readable, and maintainable.\\n- Knowledge Sharing: Facilitate knowledge sharing among contributors and help new contributors learn best practices.\\n- Bug Prevention: Catch potential bugs and issues before they are merged into the main branch.\\n- Consistency: Ensure consistency in style, design patterns, and architecture across the project.'), AlpacaItem(instruction='What are the steps to get started with CAMEL?', input='', output='To get started with CAMEL, follow these steps:\\n1. Clone the GitHub repository:\\n ```\\n git clone https://github.com/camel-ai/camel.git\\n ```\\n2. Change directory into the project:\\n ```\\n cd camel\\n ```\\n3. Activate the virtual environment:\\n ```\\n poetry shell\\n ```\\n4. Install CAMEL from source:\\n ```\\n poetry install --with dev,docs -E all\\n ```\\n5. Install a pre-commit hook:\\n ```\\n pre-commit install\\n ```\\n6. Run tests to verify setup:\\n ```\\n pytest .\\n ```'), AlpacaItem(instruction='Summarize the guidelines for writing docstrings in CAMEL.', input='', output='The guidelines for writing docstrings in CAMEL include:\\n1. Use the triple-quoted string with `r\"\"\"` (raw string) to prevent issues with special characters.\\n2. Provide a brief class or method description, keeping each line under 79 characters.\\n3. Document parameters in the `Args` section, maintaining the 79-character limit and indenting continuation lines by 4 spaces.'), AlpacaItem(instruction='What are the common pitfalls to avoid during code reviews?', input='', output='Common pitfalls to avoid during code reviews include:\\n- **Large PRs**: Avoid submitting PRs that are too large; break down changes into smaller, manageable PRs if possible.\\n- **Ignoring Feedback**: Address all feedback provided by reviewers, even if you don’t agree—discuss it instead of ignoring it.\\n- **Rushed Reviews**: Avoid rushing through reviews; taking the time to thoroughly review code is critical to maintaining quality.'), AlpacaItem(instruction='Explain the process for managing issues in the CAMEL project.', input='', output='The process for managing issues in the CAMEL project involves:\\n1. Regularly updating the [issues](https://github.com/camel-ai/camel/issues) page on GitHub with bugs, improvements, and feature requests.\\n2. Assigning issues to yourself when you start working on them to indicate they are being addressed.\\n3. Creating focused issues on specific bugs, improvements, or features rather than merging related ones.'), AlpacaItem(instruction='What is the expected duration for a sprint in the CAMEL project?', input='', output='The expected duration for a sprint in the CAMEL project is two weeks for development and one week for review.'), AlpacaItem(instruction='List the types of labels used for pull requests in CAMEL.', input='', output='The types of labels used for pull requests in CAMEL include:\\n- **feat**: For new features.\\n- **fix**: For bug fixes.\\n- **docs**: For documentation updates.\\n- **style**: For code style changes.\\n- **refactor**: For code refactoring.\\n- **test**: For adding or updating tests.\\n- **chore**: For maintenance tasks.'), AlpacaItem(instruction='What are the developer meeting times for the CAMEL project?', input='', output='The developer meeting times for the CAMEL project are:\\n- **English speakers**: Mondays at 5 PM GMT+1. Join via Discord: [Meeting Link](https://discord.gg/aWfgSTh5?event=1288737688794435634)\\n- **Chinese speakers**: Mondays at 9 PM UTC+8. Join via Zoom: [Meeting Link](https://kaust.zoom.us/j/94271505221)'), AlpacaItem(instruction='Explain how to get started with the CAMEL project.', input='', output='To get started with CAMEL, follow these steps:\\n1. Clone the GitHub repository using `git clone https://github.com/camel-ai/camel.git`\\n2. Change directory into the project directory with `cd camel`\\n3. Activate the CAMEL virtual environment using `poetry shell`\\n4. Install CAMEL from source with `poetry install --with dev,docs -E all`.\\n5. Set up a pre-commit hook to auto-format and lint your commits by running `pre-commit install`.\\n6. Run the pre-commit checks with `pre-commit run --all-files` before pushing.\\n7. Run unit tests using `pytest test` to ensure everything is set up correctly.'), AlpacaItem(instruction='What should a contributor do if they encounter challenges during the setup process?', input='', output='If contributors encounter challenges during the setup process, they should not hesitate to reach out to a maintainer for assistance. The CAMEL project aims to make the developer setup as straightforward as possible, and maintainers are available to help ensure a smooth experience for both current and future contributors.'), AlpacaItem(instruction='Describe the guidelines for writing docstrings in the CAMEL project.', input='', output='The guidelines for writing docstrings in the CAMEL project include:\\n1. Use the triple-quoted string with `r\"\"\"` (raw string) to prevent issues with special characters.\\n2. Provide a brief class or method description, starting with a concise summary of the purpose and functionality, keeping each line under 79 characters.\\n3. Document parameters in the `Args` section, including parameter name, type, description, and default value where applicable.'), AlpacaItem(instruction=\"What is the purpose of the CAMEL community's communication channels?\", input='', output=\"The purpose of the CAMEL community's communication channels is to facilitate effective collaboration and support among contributors. These channels allow for discussions, quick feedback, and the sharing of ideas, ensuring that contributors can communicate efficiently. Key channels include Discord for real-time chat, WeChat for broader communication, and Slack for organized discussions.\"), AlpacaItem(instruction='What are the steps involved in submitting a pull request in the CAMEL project?', input='', output='The steps involved in submitting a pull request (PR) in the CAMEL project include:\\n1. Go to the GitHub Pulls page and create a new PR, selecting the appropriate branch.\\n2. Fill in the required information and link the related issue.\\n3. Ensure the PR has a proper title and update the Reviewers, Assignees, Labels, Projects, and Milestones.\\n4. Move the PR through the stages: Developing, Stuck, Reviewing, and Merged. The linked issue will close automatically when the PR is merged.'), AlpacaItem(instruction='What is the significance of the `logger` in the CAMEL project?', input='', output=\"The significance of the `logger` in the CAMEL project is to provide a consistent, configurable, and professional logging mechanism. Instead of using `print` statements, developers are encouraged to use Python's `logging` module to log messages. This approach enhances the maintainability of the code and ensures that logging can be easily controlled, formatted, and directed to various outputs.\"), AlpacaItem(instruction='Explain the importance of code reviews in the CAMEL project.', input='', output='Code reviews in the CAMEL project are important for several reasons:\\n1. They help maintain code quality by ensuring that the codebase remains clean, readable, and maintainable.\\n2. They facilitate knowledge sharing among contributors, helping new contributors learn best practices.\\n3. They prevent bugs by catching potential issues before code is merged into the main branch.\\n4. They ensure consistency in style, design patterns, and architecture across the project.'), AlpacaItem(instruction='What should a contributor do when creating a new issue in the CAMEL project?', input='', output='When creating a new issue in the CAMEL project, a contributor should:\\n1. Go to the GitHub Issues page and create a new issue, choosing the appropriate category.\\n2. Fill in the required information with a proper title.\\n3. Update the Assignees, Labels, Projects, and Milestones accordingly.\\n4. Discuss the issue during team meetings and move it to the Analysis Done column if it has been analyzed.'), AlpacaItem(instruction='What is the process for updating dependencies in the CAMEL project?', input='', output='The process for updating dependencies in the CAMEL project involves:\\n1. Adding, updating, or deleting any dependencies in the `pyproject.toml` file.\\n2. Running the command `poetry lock` to synchronize the dependencies with the lock file, ensuring that the project has the correct and updated dependency versions.'), AlpacaItem(instruction='What are the common actions contributors should take regarding linting and formatting in the CAMEL project?', input='', output='Contributors should perform the following common actions regarding linting and formatting in the CAMEL project:\\n1. Run `poetry run ruff check .` to check the code for linting issues.\\n2. Run `poetry run ruff format .` to automatically format the code according to the project’s style guidelines.'), AlpacaItem(instruction='Describe the purpose of the CAMEL project’s license.', input='', output='The purpose of the CAMEL project’s license, which is Apache 2.0, is to provide a legal framework for the usage, modification, and distribution of the source code. This license allows contributors to have their contributed code licensed under the same terms, promoting openness and collaboration while protecting the rights of the original authors.'), AlpacaItem(instruction='What is the recommended structure for documenting parameters in function docstrings?', input='', output=\"The recommended structure for documenting parameters in function docstrings includes:\\n1. An `Args` section that lists each parameter.\\n2. Each parameter should include:\\n - Parameter Name: Matching the function signature.\\n - Type: Specifying the type (e.g., `int`, `str`, custom types).\\n - Description: A brief explanation of the parameter's role.\\n - Default Value: Indicated with `(default: :obj:
| Step | \n", + "Training Loss | \n", + "
|---|---|
| 1 | \n", + "1.979400 | \n", + "
| 2 | \n", + "2.037600 | \n", + "
| 3 | \n", + "1.885900 | \n", + "
| 4 | \n", + "1.494600 | \n", + "
| 5 | \n", + "1.213300 | \n", + "
| 6 | \n", + "1.014300 | \n", + "
| 7 | \n", + "1.288400 | \n", + "
| 8 | \n", + "0.824800 | \n", + "
| 9 | \n", + "0.977700 | \n", + "
| 10 | \n", + "0.816700 | \n", + "
| 11 | \n", + "0.984300 | \n", + "
| 12 | \n", + "1.083600 | \n", + "
| 13 | \n", + "0.723800 | \n", + "
| 14 | \n", + "0.673300 | \n", + "
| 15 | \n", + "0.645500 | \n", + "
| 16 | \n", + "0.668000 | \n", + "
| 17 | \n", + "0.993800 | \n", + "
| 18 | \n", + "1.097900 | \n", + "
| 19 | \n", + "0.838300 | \n", + "
| 20 | \n", + "0.782000 | \n", + "
| 21 | \n", + "0.761100 | \n", + "
| 22 | \n", + "0.890000 | \n", + "
| 23 | \n", + "0.938400 | \n", + "
| 24 | \n", + "0.706200 | \n", + "
| 25 | \n", + "0.705900 | \n", + "
| 26 | \n", + "0.768700 | \n", + "
| 27 | \n", + "0.790100 | \n", + "
| 28 | \n", + "0.663800 | \n", + "
| 29 | \n", + "0.602300 | \n", + "
| 30 | \n", + "0.876900 | \n", + "
| 31 | \n", + "0.547200 | \n", + "
| 32 | \n", + "0.652800 | \n", + "
| 33 | \n", + "1.022500 | \n", + "
| 34 | \n", + "0.646700 | \n", + "
| 35 | \n", + "0.419500 | \n", + "
| 36 | \n", + "0.464100 | \n", + "
| 37 | \n", + "0.490500 | \n", + "
| 38 | \n", + "0.428900 | \n", + "
| 39 | \n", + "0.415600 | \n", + "
| 40 | \n", + "0.536400 | \n", + "
| 41 | \n", + "0.434600 | \n", + "
| 42 | \n", + "0.447600 | \n", + "
| 43 | \n", + "0.631600 | \n", + "
| 44 | \n", + "0.348900 | \n", + "
| 45 | \n", + "0.475600 | \n", + "
| 46 | \n", + "0.462400 | \n", + "
| 47 | \n", + "0.474900 | \n", + "
| 48 | \n", + "0.485100 | \n", + "
| 49 | \n", + "0.358100 | \n", + "
| 50 | \n", + "0.581500 | \n", + "
| 51 | \n", + "0.586200 | \n", + "
| 52 | \n", + "0.271900 | \n", + "
| 53 | \n", + "0.482400 | \n", + "
| 54 | \n", + "0.359200 | \n", + "
| 55 | \n", + "0.410900 | \n", + "
| 56 | \n", + "0.554600 | \n", + "
| 57 | \n", + "0.353400 | \n", + "
| 58 | \n", + "0.296800 | \n", + "
| 59 | \n", + "0.475900 | \n", + "
| 60 | \n", + "0.558900 | \n", + "
| 61 | \n", + "0.381700 | \n", + "
| 62 | \n", + "0.439300 | \n", + "
| 63 | \n", + "0.560800 | \n", + "
| 64 | \n", + "0.412300 | \n", + "
| 65 | \n", + "0.802600 | \n", + "
| 66 | \n", + "0.287000 | \n", + "
| 67 | \n", + "0.258600 | \n", + "
| 68 | \n", + "0.211100 | \n", + "
| 69 | \n", + "0.219100 | \n", + "
| 70 | \n", + "0.337200 | \n", + "
| 71 | \n", + "0.238500 | \n", + "
| 72 | \n", + "0.309000 | \n", + "
| 73 | \n", + "0.286200 | \n", + "
| 74 | \n", + "0.306100 | \n", + "
| 75 | \n", + "0.262800 | \n", + "
| 76 | \n", + "0.265500 | \n", + "
| 77 | \n", + "1.288100 | \n", + "
| 78 | \n", + "0.287000 | \n", + "
| 79 | \n", + "0.328900 | \n", + "
| 80 | \n", + "0.324500 | \n", + "
| 81 | \n", + "0.436700 | \n", + "
| 82 | \n", + "0.309700 | \n", + "
| 83 | \n", + "0.273900 | \n", + "
| 84 | \n", + "0.302300 | \n", + "
| 85 | \n", + "0.266400 | \n", + "
| 86 | \n", + "0.227400 | \n", + "
| 87 | \n", + "0.234400 | \n", + "
| 88 | \n", + "0.262100 | \n", + "
| 89 | \n", + "0.286100 | \n", + "
| 90 | \n", + "0.306800 | \n", + "
| 91 | \n", + "0.335200 | \n", + "
| 92 | \n", + "0.278900 | \n", + "
| 93 | \n", + "0.330000 | \n", + "
| 94 | \n", + "0.341200 | \n", + "
| 95 | \n", + "0.273400 | \n", + "
| 96 | \n", + "0.317600 | \n", + "
| 97 | \n", + "0.395300 | \n", + "
| 98 | \n", + "0.411100 | \n", + "
| 99 | \n", + "0.233300 | \n", + "
| 100 | \n", + "0.149000 | \n", + "
| 101 | \n", + "0.184500 | \n", + "
| 102 | \n", + "0.187200 | \n", + "
| 103 | \n", + "0.256400 | \n", + "
| 104 | \n", + "0.231100 | \n", + "
| 105 | \n", + "0.149600 | \n", + "
| 106 | \n", + "0.234900 | \n", + "
| 107 | \n", + "0.256200 | \n", + "
| 108 | \n", + "0.332000 | \n", + "
| 109 | \n", + "0.270800 | \n", + "
| 110 | \n", + "0.261700 | \n", + "
| 111 | \n", + "0.212300 | \n", + "
| 112 | \n", + "0.230600 | \n", + "
| 113 | \n", + "0.193000 | \n", + "
| 114 | \n", + "0.239100 | \n", + "
| 115 | \n", + "0.185000 | \n", + "
| 116 | \n", + "0.324100 | \n", + "
| 117 | \n", + "0.212900 | \n", + "
| 118 | \n", + "0.612900 | \n", + "
| 119 | \n", + "0.204400 | \n", + "
| 120 | \n", + "0.209100 | \n", + "
| 121 | \n", + "0.156300 | \n", + "
| 122 | \n", + "0.285000 | \n", + "
| 123 | \n", + "0.423300 | \n", + "
| 124 | \n", + "0.217300 | \n", + "
| 125 | \n", + "0.574600 | \n", + "
| 126 | \n", + "0.288600 | \n", + "
| 127 | \n", + "0.334700 | \n", + "
| 128 | \n", + "0.455800 | \n", + "
| 129 | \n", + "0.321100 | \n", + "
| 130 | \n", + "0.377300 | \n", + "
| 131 | \n", + "0.292900 | \n", + "
| 132 | \n", + "0.224500 | \n", + "
| 133 | \n", + "0.239300 | \n", + "
| 134 | \n", + "0.192500 | \n", + "
| 135 | \n", + "0.215000 | \n", + "
| 136 | \n", + "0.149600 | \n", + "
| 137 | \n", + "0.211800 | \n", + "
| 138 | \n", + "0.229900 | \n", + "
| 139 | \n", + "0.186900 | \n", + "
| 140 | \n", + "0.159500 | \n", + "
| 141 | \n", + "0.185100 | \n", + "
| 142 | \n", + "0.160300 | \n", + "
| 143 | \n", + "0.630600 | \n", + "
| 144 | \n", + "0.119500 | \n", + "
| 145 | \n", + "0.188300 | \n", + "
| 146 | \n", + "0.203500 | \n", + "
| 147 | \n", + "0.175400 | \n", + "
| 148 | \n", + "0.195800 | \n", + "
| 149 | \n", + "0.268200 | \n", + "
| 150 | \n", + "0.187900 | \n", + "
| 151 | \n", + "0.150000 | \n", + "
| 152 | \n", + "0.373400 | \n", + "
| 153 | \n", + "0.235000 | \n", + "
| 154 | \n", + "0.319800 | \n", + "
| 155 | \n", + "0.175600 | \n", + "
| 156 | \n", + "0.175600 | \n", + "
| 157 | \n", + "0.145800 | \n", + "
| 158 | \n", + "0.145400 | \n", + "
| 159 | \n", + "0.222900 | \n", + "
| 160 | \n", + "0.190000 | \n", + "
| 161 | \n", + "0.180700 | \n", + "
| 162 | \n", + "0.295000 | \n", + "
| 163 | \n", + "0.421600 | \n", + "
| 164 | \n", + "0.120800 | \n", + "
| 165 | \n", + "0.177100 | \n", + "
| 166 | \n", + "0.168700 | \n", + "
| 167 | \n", + "0.156600 | \n", + "
| 168 | \n", + "0.258700 | \n", + "
| 169 | \n", + "0.239800 | \n", + "
| 170 | \n", + "0.256100 | \n", + "
| 171 | \n", + "0.207500 | \n", + "
| 172 | \n", + "0.152500 | \n", + "
| 173 | \n", + "0.165100 | \n", + "
| 174 | \n", + "0.188800 | \n", + "
| 175 | \n", + "0.214100 | \n", + "
| 176 | \n", + "0.190700 | \n", + "
| 177 | \n", + "0.218300 | \n", + "
| 178 | \n", + "0.489900 | \n", + "
| 179 | \n", + "0.343300 | \n", + "
| 180 | \n", + "0.428100 | \n", + "
| 181 | \n", + "0.366700 | \n", + "
| 182 | \n", + "0.278300 | \n", + "
| 183 | \n", + "0.481900 | \n", + "
| 184 | \n", + "0.193500 | \n", + "
| 185 | \n", + "0.198600 | \n", + "
| 186 | \n", + "0.151700 | \n", + "
| 187 | \n", + "0.137300 | \n", + "
| 188 | \n", + "0.170900 | \n", + "
| 189 | \n", + "0.142100 | \n", + "
| 190 | \n", + "0.206100 | \n", + "
| 191 | \n", + "0.249300 | \n", + "
| 192 | \n", + "0.154600 | \n", + "
| 193 | \n", + "0.274000 | \n", + "
| 194 | \n", + "0.176400 | \n", + "
| 195 | \n", + "0.166900 | \n", + "
| 196 | \n", + "0.149400 | \n", + "
| 197 | \n", + "0.134700 | \n", + "
| 198 | \n", + "0.101600 | \n", + "
| 199 | \n", + "0.163400 | \n", + "
| 200 | \n", + "0.268000 | \n", + "
| 201 | \n", + "0.107800 | \n", + "
| 202 | \n", + "0.162700 | \n", + "
| 203 | \n", + "0.130300 | \n", + "
| 204 | \n", + "0.167000 | \n", + "
| 205 | \n", + "0.165300 | \n", + "
| 206 | \n", + "0.143400 | \n", + "
| 207 | \n", + "0.111100 | \n", + "
| 208 | \n", + "0.126900 | \n", + "
| 209 | \n", + "0.257800 | \n", + "
| 210 | \n", + "0.381500 | \n", + "
| 211 | \n", + "0.450900 | \n", + "
| 212 | \n", + "0.369300 | \n", + "
| 213 | \n", + "0.260600 | \n", + "
| 214 | \n", + "0.187500 | \n", + "
| 215 | \n", + "0.128000 | \n", + "
| 216 | \n", + "0.130400 | \n", + "
| 217 | \n", + "0.143100 | \n", + "
| 218 | \n", + "0.455700 | \n", + "
| 219 | \n", + "0.299900 | \n", + "
| 220 | \n", + "0.390400 | \n", + "
| 221 | \n", + "0.218900 | \n", + "
| 222 | \n", + "0.164700 | \n", + "
| 223 | \n", + "0.126200 | \n", + "
| 224 | \n", + "0.167700 | \n", + "
| 225 | \n", + "0.162500 | \n", + "
| 226 | \n", + "0.149700 | \n", + "
| 227 | \n", + "0.116500 | \n", + "
| 228 | \n", + "0.182300 | \n", + "
| 229 | \n", + "0.123700 | \n", + "
| 230 | \n", + "0.148100 | \n", + "
| 231 | \n", + "0.152800 | \n", + "
| 232 | \n", + "0.118300 | \n", + "
| 233 | \n", + "0.131700 | \n", + "
| 234 | \n", + "0.085100 | \n", + "
| 235 | \n", + "0.246500 | \n", + "
| 236 | \n", + "0.132200 | \n", + "
| 237 | \n", + "0.180400 | \n", + "
| 238 | \n", + "0.194400 | \n", + "
| 239 | \n", + "0.126000 | \n", + "
| 240 | \n", + "0.138600 | \n", + "
| 241 | \n", + "0.134200 | \n", + "
| 242 | \n", + "0.122800 | \n", + "
| 243 | \n", + "0.121800 | \n", + "
| 244 | \n", + "0.115200 | \n", + "
| 245 | \n", + "0.168600 | \n", + "
| 246 | \n", + "0.171500 | \n", + "
| 247 | \n", + "0.145500 | \n", + "
| 248 | \n", + "0.125600 | \n", + "
| 249 | \n", + "0.136600 | \n", + "
| 250 | \n", + "0.164900 | \n", + "
| 251 | \n", + "0.217400 | \n", + "
| 252 | \n", + "0.145900 | \n", + "
| 253 | \n", + "0.392700 | \n", + "
| 254 | \n", + "0.158000 | \n", + "
| 255 | \n", + "0.101400 | \n", + "
| 256 | \n", + "0.198900 | \n", + "
| 257 | \n", + "0.260300 | \n", + "
| 258 | \n", + "0.144800 | \n", + "
| 259 | \n", + "0.164200 | \n", + "
| 260 | \n", + "0.329600 | \n", + "
| 261 | \n", + "0.104900 | \n", + "
| 262 | \n", + "0.112700 | \n", + "
| 263 | \n", + "0.114700 | \n", + "
| 264 | \n", + "0.115800 | \n", + "
| 265 | \n", + "0.121100 | \n", + "
| 266 | \n", + "0.110900 | \n", + "
| 267 | \n", + "0.105800 | \n", + "
| 268 | \n", + "0.126800 | \n", + "
| 269 | \n", + "0.125400 | \n", + "
| 270 | \n", + "0.139900 | \n", + "
| 271 | \n", + "0.091000 | \n", + "
| 272 | \n", + "0.114800 | \n", + "
| 273 | \n", + "0.111400 | \n", + "
| 274 | \n", + "0.116400 | \n", + "
| 275 | \n", + "0.113000 | \n", + "
| 276 | \n", + "0.157300 | \n", + "
| 277 | \n", + "0.200200 | \n", + "
| 278 | \n", + "0.107800 | \n", + "
| 279 | \n", + "0.132600 | \n", + "
| 280 | \n", + "0.116400 | \n", + "
| 281 | \n", + "0.226000 | \n", + "
| 282 | \n", + "0.181100 | \n", + "
| 283 | \n", + "0.116400 | \n", + "
| 284 | \n", + "0.108700 | \n", + "
| 285 | \n", + "0.128900 | \n", + "
| 286 | \n", + "0.114300 | \n", + "
| 287 | \n", + "0.148100 | \n", + "
| 288 | \n", + "0.110900 | \n", + "
| 289 | \n", + "0.119200 | \n", + "
| 290 | \n", + "0.153000 | \n", + "
| 291 | \n", + "0.165000 | \n", + "
| 292 | \n", + "0.143500 | \n", + "
| 293 | \n", + "0.170200 | \n", + "
| 294 | \n", + "0.252800 | \n", + "
| 295 | \n", + "0.083700 | \n", + "
| 296 | \n", + "0.084800 | \n", + "
| 297 | \n", + "0.129200 | \n", + "
| 298 | \n", + "0.154600 | \n", + "
| 299 | \n", + "0.097200 | \n", + "
| 300 | \n", + "0.191700 | \n", + "
| 301 | \n", + "0.134300 | \n", + "
| 302 | \n", + "0.142500 | \n", + "
| 303 | \n", + "0.105700 | \n", + "
| 304 | \n", + "0.126500 | \n", + "
| 305 | \n", + "0.102100 | \n", + "
| 306 | \n", + "0.114900 | \n", + "
| 307 | \n", + "0.120100 | \n", + "
| 308 | \n", + "0.115000 | \n", + "
| 309 | \n", + "0.097800 | \n", + "
| 310 | \n", + "0.110200 | \n", + "
| 311 | \n", + "0.121800 | \n", + "
| 312 | \n", + "0.311400 | \n", + "
| 313 | \n", + "0.141000 | \n", + "
| 314 | \n", + "0.101400 | \n", + "
| 315 | \n", + "0.117200 | \n", + "
| 316 | \n", + "0.140700 | \n", + "
| 317 | \n", + "0.104800 | \n", + "
| 318 | \n", + "0.110700 | \n", + "
| 319 | \n", + "0.113900 | \n", + "
| 320 | \n", + "0.098400 | \n", + "
| 321 | \n", + "0.164000 | \n", + "
| 322 | \n", + "0.113400 | \n", + "
| 323 | \n", + "0.130300 | \n", + "
| 324 | \n", + "0.101400 | \n", + "
| 325 | \n", + "0.145900 | \n", + "
| 326 | \n", + "0.089400 | \n", + "
| 327 | \n", + "0.082600 | \n", + "
| 328 | \n", + "0.119100 | \n", + "
| 329 | \n", + "0.096600 | \n", + "
| 330 | \n", + "0.135000 | \n", + "
| 331 | \n", + "0.132800 | \n", + "
| 332 | \n", + "0.158400 | \n", + "
| 333 | \n", + "0.131900 | \n", + "
| 334 | \n", + "0.121100 | \n", + "
| 335 | \n", + "0.101400 | \n", + "
| 336 | \n", + "0.112100 | \n", + "
| 337 | \n", + "0.119300 | \n", + "
| 338 | \n", + "0.090400 | \n", + "
| 339 | \n", + "0.087600 | \n", + "
| 340 | \n", + "0.259500 | \n", + "
| 341 | \n", + "0.087100 | \n", + "
| 342 | \n", + "0.091300 | \n", + "
| 343 | \n", + "0.106100 | \n", + "
| 344 | \n", + "0.108900 | \n", + "
| 345 | \n", + "0.116500 | \n", + "
| 346 | \n", + "0.113600 | \n", + "
| 347 | \n", + "0.103100 | \n", + "
| 348 | \n", + "0.104300 | \n", + "
| 349 | \n", + "0.133400 | \n", + "
| 350 | \n", + "0.093100 | \n", + "
| 351 | \n", + "0.094600 | \n", + "
| 352 | \n", + "0.132600 | \n", + "
| 353 | \n", + "0.103200 | \n", + "
| 354 | \n", + "0.108300 | \n", + "
| 355 | \n", + "0.115900 | \n", + "
| 356 | \n", + "0.106100 | \n", + "
| 357 | \n", + "0.278400 | \n", + "
| 358 | \n", + "0.160900 | \n", + "
| 359 | \n", + "0.119200 | \n", + "
| 360 | \n", + "0.140600 | \n", + "
| 361 | \n", + "0.073600 | \n", + "
| 362 | \n", + "0.093300 | \n", + "
| 363 | \n", + "0.107100 | \n", + "
| 364 | \n", + "0.091600 | \n", + "
| 365 | \n", + "0.115800 | \n", + "
| 366 | \n", + "0.088700 | \n", + "
| 367 | \n", + "0.102900 | \n", + "
| 368 | \n", + "0.100200 | \n", + "
| 369 | \n", + "0.092800 | \n", + "
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| 372 | \n", + "0.093400 | \n", + "
| 373 | \n", + "0.115100 | \n", + "
| 374 | \n", + "0.085800 | \n", + "
| 375 | \n", + "0.101400 | \n", + "
| 376 | \n", + "0.104900 | \n", + "
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| 378 | \n", + "0.090300 | \n", + "
| 379 | \n", + "0.108000 | \n", + "
| 380 | \n", + "0.096800 | \n", + "
| 381 | \n", + "0.106000 | \n", + "
| 382 | \n", + "0.090300 | \n", + "
| 383 | \n", + "0.094200 | \n", + "
| 384 | \n", + "0.259100 | \n", + "
| 385 | \n", + "0.127400 | \n", + "
| 386 | \n", + "0.094100 | \n", + "
| 387 | \n", + "0.088700 | \n", + "
| 388 | \n", + "0.103200 | \n", + "
| 389 | \n", + "0.088500 | \n", + "
| 390 | \n", + "0.180100 | \n", + "
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| 393 | \n", + "0.091400 | \n", + "
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| 395 | \n", + "0.092100 | \n", + "
| 396 | \n", + "0.079400 | \n", + "
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| 398 | \n", + "0.114800 | \n", + "
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| 460 | \n", + "0.073300 | \n", + "
| 461 | \n", + "0.092600 | \n", + "
| 462 | \n", + "0.091900 | \n", + "
| 463 | \n", + "0.085800 | \n", + "
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| 554 | \n", + "0.077900 | \n", + "
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| 559 | \n", + "0.078000 | \n", + "
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| 562 | \n", + "0.132500 | \n", + "
| 563 | \n", + "0.068300 | \n", + "
| 564 | \n", + "0.077200 | \n", + "
| 565 | \n", + "0.077700 | \n", + "
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| 567 | \n", + "0.094900 | \n", + "
| 568 | \n", + "0.077100 | \n", + "
| 569 | \n", + "0.079800 | \n", + "
| 570 | \n", + "0.083600 | \n", + "
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| 573 | \n", + "0.083600 | \n", + "
| 574 | \n", + "0.089300 | \n", + "
| 575 | \n", + "0.088900 | \n", + "
| 576 | \n", + "0.079400 | \n", + "
| 577 | \n", + "0.079100 | \n", + "
| 578 | \n", + "0.086300 | \n", + "
| 579 | \n", + "0.102500 | \n", + "
| 580 | \n", + "0.080000 | \n", + "
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| 584 | \n", + "0.101300 | \n", + "
| 585 | \n", + "0.132200 | \n", + "
| 586 | \n", + "0.079500 | \n", + "
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| 588 | \n", + "0.080700 | \n", + "
| 589 | \n", + "0.068000 | \n", + "
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| 591 | \n", + "0.080100 | \n", + "
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| 593 | \n", + "0.075800 | \n", + "
| 594 | \n", + "0.069700 | \n", + "
| 595 | \n", + "0.075400 | \n", + "
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| 607 | \n", + "0.080300 | \n", + "
| 608 | \n", + "0.074000 | \n", + "
| 609 | \n", + "0.081000 | \n", + "
| 610 | \n", + "0.083600 | \n", + "
| 611 | \n", + "0.083400 | \n", + "
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| 613 | \n", + "0.078600 | \n", + "
| 614 | \n", + "0.085700 | \n", + "
| 615 | \n", + "0.088300 | \n", + "
| 616 | \n", + "0.078900 | \n", + "
| 617 | \n", + "0.072200 | \n", + "
| 618 | \n", + "0.119300 | \n", + "
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| 620 | \n", + "0.072500 | \n", + "
| 621 | \n", + "0.080800 | \n", + "
| 622 | \n", + "0.069800 | \n", + "
| 623 | \n", + "0.066700 | \n", + "
| 624 | \n", + "0.072500 | \n", + "
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| 626 | \n", + "0.081200 | \n", + "
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| 630 | \n", + "0.077900 | \n", + "
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| 632 | \n", + "0.075000 | \n", + "
| 633 | \n", + "0.076700 | \n", + "
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| 635 | \n", + "0.081200 | \n", + "
| 636 | \n", + "0.078900 | \n", + "
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| 638 | \n", + "0.077900 | \n", + "
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| 640 | \n", + "0.076700 | \n", + "
| 641 | \n", + "0.075400 | \n", + "
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| 644 | \n", + "0.082800 | \n", + "
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| 647 | \n", + "0.077000 | \n", + "
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| 649 | \n", + "0.080900 | \n", + "
| 650 | \n", + "0.113400 | \n", + "
| 651 | \n", + "0.078300 | \n", + "
| 652 | \n", + "0.080500 | \n", + "
| 653 | \n", + "0.073500 | \n", + "
| 654 | \n", + "0.073000 | \n", + "
| 655 | \n", + "0.076000 | \n", + "
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| 661 | \n", + "0.081200 | \n", + "
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| 664 | \n", + "0.082200 | \n", + "
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| 666 | \n", + "0.088900 | \n", + "
| 667 | \n", + "0.075900 | \n", + "
| 668 | \n", + "0.074800 | \n", + "
| 669 | \n", + "0.079700 | \n", + "
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| 676 | \n", + "0.081900 | \n", + "
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| 678 | \n", + "0.092400 | \n", + "
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| 705 | \n", + "0.084600 | \n", + "
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| 712 | \n", + "0.073000 | \n", + "
| 713 | \n", + "0.081100 | \n", + "
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| 719 | \n", + "0.070300 | \n", + "
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| 772 | \n", + "0.074000 | \n", + "
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| 777 | \n", + "0.078900 | \n", + "
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| 779 | \n", + "0.079800 | \n", + "
| 780 | \n", + "0.100100 | \n", + "
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| 800 | \n", + "0.075700 | \n", + "
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| 824 | \n", + "0.082100 | \n", + "
| 825 | \n", + "0.076100 | \n", + "
| 826 | \n", + "0.063300 | \n", + "
| 827 | \n", + "0.065700 | \n", + "
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| 831 | \n", + "0.077300 | \n", + "
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| 837 | \n", + "0.074000 | \n", + "
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| 841 | \n", + "0.086400 | \n", + "
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| 848 | \n", + "0.073200 | \n", + "
| 849 | \n", + "0.077200 | \n", + "
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| 880 | \n", + "0.073100 | \n", + "
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| 883 | \n", + "0.072100 | \n", + "
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| 891 | \n", + "0.073300 | \n", + "
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| 898 | \n", + "0.062100 | \n", + "
| 899 | \n", + "0.072600 | \n", + "
| 900 | \n", + "0.075800 | \n", + "
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| 903 | \n", + "0.067600 | \n", + "
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| 906 | \n", + "0.078700 | \n", + "
| 907 | \n", + "0.078500 | \n", + "
| 908 | \n", + "0.082300 | \n", + "
| 909 | \n", + "0.067200 | \n", + "
| 910 | \n", + "0.113100 | \n", + "
| 911 | \n", + "0.065300 | \n", + "
| 912 | \n", + "0.073400 | \n", + "
| 913 | \n", + "0.072000 | \n", + "
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| 920 | \n", + "0.073500 | \n", + "
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| 922 | \n", + "0.067100 | \n", + "
| 923 | \n", + "0.071700 | \n", + "
| 924 | \n", + "0.063100 | \n", + "
| 925 | \n", + "0.077400 | \n", + "
| 926 | \n", + "0.075200 | \n", + "
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| 933 | \n", + "0.067100 | \n", + "
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| 935 | \n", + "0.066300 | \n", + "
| 936 | \n", + "0.068800 | \n", + "
| 937 | \n", + "0.077800 | \n", + "
| 938 | \n", + "0.072700 | \n", + "
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| 943 | \n", + "0.114100 | \n", + "
| 944 | \n", + "0.066100 | \n", + "
| 945 | \n", + "0.064300 | \n", + "
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| 948 | \n", + "0.064700 | \n", + "
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| 950 | \n", + "0.068100 | \n", + "
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| 952 | \n", + "0.080100 | \n", + "
| 953 | \n", + "0.074700 | \n", + "
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| 955 | \n", + "0.069000 | \n", + "
| 956 | \n", + "0.071300 | \n", + "
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| 958 | \n", + "0.068900 | \n", + "
| 959 | \n", + "0.070700 | \n", + "
| 960 | \n", + "0.069500 | \n", + "
"
+ ],
+ "text/plain": [
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