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docs: fix grammar issues in facebook.ipynb and langsmith_dataset.ipynb (#31442)
Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, core, etc. is being modified. Use "docs: ..." for purely docs changes, "infra: ..." for CI changes. - Example: "core: add foobar LLM" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. If no one reviews your PR within a few days, please @-mention one of baskaryan, eyurtsev, ccurme, vbarda, hwchase17.
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"source": [
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"# Facebook Messenger\n",
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"\n",
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"This notebook shows how to load data from Facebook in a format you can fine-tune on. The overall steps are:\n",
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"This notebook shows how to load data from Facebook into a format you can fine-tune on. The overall steps are:\n",
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"\n",
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"1. Download your messenger data to disk.\n",
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"2. Create the Chat Loader and call `loader.load()` (or `loader.lazy_load()`) to perform the conversion.\n",
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"\n",
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"## 1. Download Data\n",
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"\n",
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"To download your own messenger data, following instructions [here](https://www.zapptales.com/en/download-facebook-messenger-chat-history-how-to/). IMPORTANT - make sure to download them in JSON format (not HTML).\n",
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"To download your own messenger data, follow the instructions [here](https://www.zapptales.com/en/download-facebook-messenger-chat-history-how-to/). IMPORTANT - make sure to download them in JSON format (not HTML).\n",
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"\n",
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"We are hosting an example dump at [this google drive link](https://drive.google.com/file/d/1rh1s1o2i7B-Sk1v9o8KNgivLVGwJ-osV/view?usp=sharing) that we will use in this walkthrough."
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]
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"source": [
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"# LangSmith Chat Datasets\n",
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"\n",
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"This notebook demonstrates an easy way to load a LangSmith chat dataset fine-tune a model on that data.\n",
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"This notebook demonstrates an easy way to load a LangSmith chat dataset and fine-tune a model on that data.\n",
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"The process is simple and comprises 3 steps.\n",
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"\n",
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"1. Create the chat dataset.\n",
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