-
Notifications
You must be signed in to change notification settings - Fork 1.6k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
* Chapter 10 notebooks * Update course/en/chapter10/section3.ipynb
- Loading branch information
1 parent
80c5df0
commit 0454d7d
Showing
3 changed files
with
267 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Set up your Argilla instance" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "!pip install argilla" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import argilla as rg\n", | ||
| "\n", | ||
| "HF_TOKEN = \"...\" # only for private spaces\n", | ||
| "\n", | ||
| "client = rg.Argilla(\n", | ||
| " api_url=\"...\",\n", | ||
| " api_key=\"...\",\n", | ||
| " headers={\"Authorization\": f\"Bearer {HF_TOKEN}\"}, # only for private spaces\n", | ||
| ")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "client.me" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "name": "Set up your Argilla instance", | ||
| "provenance": [] | ||
| }, | ||
| "language_info": { | ||
| "name": "python" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,115 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Load your dataset to Argilla" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "!pip install argilla datasets" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import argilla as rg\n", | ||
| "\n", | ||
| "HF_TOKEN = \"...\" # only for private spaces\n", | ||
| "\n", | ||
| "client = rg.Argilla(\n", | ||
| " api_url=\"...\",\n", | ||
| " api_key=\"...\",\n", | ||
| " headers={\"Authorization\": f\"Bearer {HF_TOKEN}\"}, # only for private spaces\n", | ||
| ")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "text/plain": [ | ||
| "{'text': Value(dtype='string', id=None),\n", | ||
| " 'label': Value(dtype='int64', id=None),\n", | ||
| " 'label_text': Value(dtype='string', id=None)}" | ||
| ] | ||
| }, | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "output_type": "execute_result" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "from datasets import load_dataset\n", | ||
| "\n", | ||
| "data = load_dataset(\"SetFit/ag_news\", split=\"train\")\n", | ||
| "data.features" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "settings = rg.Settings(\n", | ||
| " fields=[rg.TextField(name=\"text\")],\n", | ||
| " questions=[\n", | ||
| " rg.LabelQuestion(\n", | ||
| " name=\"label\", title=\"Classify the text:\", labels=data.unique(\"label_text\")\n", | ||
| " ),\n", | ||
| " rg.SpanQuestion(\n", | ||
| " name=\"entities\",\n", | ||
| " title=\"Highlight all the entities in the text:\",\n", | ||
| " labels=[\"PERSON\", \"ORG\", \"LOC\", \"EVENT\"],\n", | ||
| " field=\"text\",\n", | ||
| " ),\n", | ||
| " ],\n", | ||
| ")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "dataset = rg.Dataset(name=\"ag_news\", settings=settings)\n", | ||
| "\n", | ||
| "dataset.create()" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "dataset.records.log(data, mapping={\"label_text\": \"label\"})" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "name": "Load your dataset to Argilla", | ||
| "provenance": [] | ||
| }, | ||
| "language_info": { | ||
| "name": "python" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Use your annotated dataset" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "!pip install argilla" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import argilla as rg\n", | ||
| "\n", | ||
| "HF_TOKEN = \"...\" # only for private spaces\n", | ||
| "\n", | ||
| "client = rg.Argilla(\n", | ||
| " api_url=\"...\",\n", | ||
| " api_key=\"...\",\n", | ||
| " headers={\"Authorization\": f\"Bearer {HF_TOKEN}\"}, # only for private spaces\n", | ||
| ")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "dataset = client.datasets(name=\"ag_news\")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "status_filter = rg.Query(filter=rg.Filter([(\"status\", \"==\", \"completed\")]))\n", | ||
| "\n", | ||
| "filtered_records = dataset.records(status_filter)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "filtered_records.to_datasets().push_to_hub(\"argilla/ag_news_annotated\")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "dataset.to_hub(repo_id=\"argilla/ag_news_annotated\")" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "dataset = rg.Dataset.from_hub(repo_id=\"argilla/ag_news_annotated\")" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "colab": { | ||
| "name": "Use your annotated dataset", | ||
| "provenance": [] | ||
| }, | ||
| "language_info": { | ||
| "name": "python" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |