Upload folder using huggingface_hub
Browse files- .argilla/dataset.json +16 -0
- .argilla/settings.json +98 -0
- .argilla/version.json +3 -0
- README.md +145 -41
.argilla/dataset.json
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{
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"id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"name": "Ads-LeadsPilot",
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"guidelines": "No guidelines. Freee Format.",
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"allow_extra_metadata": false,
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"status": "ready",
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"distribution": {
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"strategy": "overlap",
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"min_submitted": 1
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},
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"metadata": null,
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"workspace_id": "c326c531-bab5-4daf-9ba2-17f0f3b1a681",
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"last_activity_at": "2024-12-19T14:11:03.568887",
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"inserted_at": "2024-12-19T14:11:03.500990",
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"updated_at": "2024-12-19T14:11:03.568887"
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}
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.argilla/settings.json
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{
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"guidelines": "No guidelines. Freee Format.",
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"allow_extra_metadata": false,
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"distribution": {
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"strategy": "overlap",
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"min_submitted": 1
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},
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"fields": [
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{
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"id": "59ce99d7-b3e7-4b98-9f69-bbd33e963178",
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"name": "Job Title",
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"title": "Job Title",
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"inserted_at": "2024-12-19T14:11:03.531129",
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"updated_at": "2024-12-19T14:11:03.531129"
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},
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{
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"id": "1d911764-2158-4ed9-8830-7c4dc15dac91",
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"name": "Ad",
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"title": "Ad",
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": true
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},
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"dataset_id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"inserted_at": "2024-12-19T14:11:03.538777",
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"updated_at": "2024-12-19T14:11:03.538777"
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},
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{
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"id": "571e4a85-34ce-4186-aef6-a3cdbf1d59c8",
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"name": "Tone",
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"title": "Tone",
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"inserted_at": "2024-12-19T14:11:03.544035",
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"updated_at": "2024-12-19T14:11:03.544035"
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}
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],
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"questions": [
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{
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"id": "3dcc9cdc-1ace-42d0-851d-b89199977773",
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"name": "Rate the Ad!",
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"title": "Rate the Ad!",
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"description": null,
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"required": true,
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"settings": {
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"type": "label_selection",
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"options": [
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{
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"value": "Good",
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"text": "Good",
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"description": null
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},
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{
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"value": "Okay",
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"text": "Okay",
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"description": null
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},
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{
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"value": "Not Good",
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"text": "Not Good",
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"description": null
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}
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],
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"visible_options": 3
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},
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"dataset_id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"inserted_at": "2024-12-19T14:11:03.550972",
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"updated_at": "2024-12-19T14:11:03.550972"
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},
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{
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"id": "13253f7c-2f83-4087-8b07-3c4beaa2271e",
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"name": "What do you think should be improved about the ad?",
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"title": "What do you think should be improved about the ad?",
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"description": null,
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "9ca61a1a-3db7-4730-87a7-95d9ad663c35",
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"inserted_at": "2024-12-19T14:11:03.559860",
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"updated_at": "2024-12-19T14:11:03.559860"
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}
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],
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"metadata": [],
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"vectors": []
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}
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.argilla/version.json
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{
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"argilla": "2.6.0"
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}
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README.md
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---
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- name: status
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dtype: string
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- name: inserted_at
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dtype: timestamp[us]
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- name: updated_at
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dtype: timestamp[us]
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- name: _server_id
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dtype: string
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- name: Job Title
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dtype: string
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- name: Ad
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dtype: string
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- name: Tone
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dtype: string
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- name: Rate the Ad!.responses
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dtype: 'null'
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- name: Rate the Ad!.responses.users
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dtype: 'null'
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- name: Rate the Ad!.responses.status
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dtype: 'null'
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- name: What do you think should be improved about the ad?.responses
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dtype: 'null'
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- name: What do you think should be improved about the ad?.responses.users
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dtype: 'null'
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- name: What do you think should be improved about the ad?.responses.status
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dtype: 'null'
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splits:
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- name: train
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num_bytes: 7312
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num_examples: 4
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download_size: 16989
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dataset_size: 7312
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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tags:
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- rlfh
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- argilla
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- human-feedback
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---
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# Dataset Card for Ads-LeadsPilot
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This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
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## Using this dataset with Argilla
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To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
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```python
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import argilla as rg
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ds = rg.Dataset.from_hub("roy-c/Ads-LeadsPilot", settings="auto")
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```
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This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
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## Using this dataset with `datasets`
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To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
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```python
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from datasets import load_dataset
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ds = load_dataset("roy-c/Ads-LeadsPilot")
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```
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This will only load the records of the dataset, but not the Argilla settings.
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## Dataset Structure
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This dataset repo contains:
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* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
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* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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### Fields
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The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
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| Field Name | Title | Type | Required |
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| ---------- | ----- | ---- | -------- |
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| Job Title | Job Title | text | True |
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| Ad | Ad | text | True |
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| Tone | Tone | text | True |
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### Questions
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The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
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| Question Name | Title | Type | Required | Description | Values/Labels |
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| ------------- | ----- | ---- | -------- | ----------- | ------------- |
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| Rate the Ad! | Rate the Ad! | label_selection | True | N/A | ['Good', 'Okay', 'Not Good'] |
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| What do you think should be improved about the ad? | What do you think should be improved about the ad? | text | True | N/A | N/A |
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<!-- check length of metadata properties -->
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### Data Splits
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The dataset contains a single split, which is `train`.
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation guidelines
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No guidelines. Freee Format.
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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