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.argilla/dataset.json

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+{
+  "id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+  "name": "techchefz-website-data-v5",
+  "guidelines": "These are some guidelines.",
+  "allow_extra_metadata": false,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "metadata": null,
+  "workspace_id": "70116148-5356-4bc4-ad4f-61438c8d1268",
+  "last_activity_at": "2025-02-07T10:57:53.219084",
+  "inserted_at": "2025-02-07T10:57:52.766907",
+  "updated_at": "2025-02-07T10:57:53.219084"
+}

.argilla/settings.json

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+{
+  "guidelines": "These are some guidelines.",
+  "allow_extra_metadata": false,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "fields": [
+    {
+      "id": "c790f281-aaa1-4b8f-a490-0ffd5f738324",
+      "name": "content",
+      "title": "content",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:52.869908",
+      "updated_at": "2025-02-07T10:57:52.869908"
+    },
+    {
+      "id": "6bf9011c-168c-4c3b-89d8-f493ae0cd74e",
+      "name": "title",
+      "title": "title",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:52.908409",
+      "updated_at": "2025-02-07T10:57:52.908409"
+    },
+    {
+      "id": "7e8e763b-a764-40a5-9c63-8d0fb9ad5037",
+      "name": "description",
+      "title": "description",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:52.945432",
+      "updated_at": "2025-02-07T10:57:52.945432"
+    },
+    {
+      "id": "022db717-9603-487f-9fa8-bbb8f9805bbd",
+      "name": "url",
+      "title": "url",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:52.981746",
+      "updated_at": "2025-02-07T10:57:52.981746"
+    },
+    {
+      "id": "f81109a3-1818-4eb6-a7a4-7b1c78aaca57",
+      "name": "source",
+      "title": "source",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:53.020785",
+      "updated_at": "2025-02-07T10:57:53.020785"
+    },
+    {
+      "id": "72966379-1225-48ed-aa4a-d57ad1591652",
+      "name": "ques1",
+      "title": "ques1",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:53.057060",
+      "updated_at": "2025-02-07T10:57:53.057060"
+    },
+    {
+      "id": "f05ecd15-2d58-48c9-b4ab-c28002e645f3",
+      "name": "ques2",
+      "title": "ques2",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:53.093481",
+      "updated_at": "2025-02-07T10:57:53.093481"
+    },
+    {
+      "id": "2513158e-1c97-443a-ab3a-3f875f5285ee",
+      "name": "ques3",
+      "title": "ques3",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:53.130402",
+      "updated_at": "2025-02-07T10:57:53.130402"
+    }
+  ],
+  "questions": [
+    {
+      "id": "b9383c8f-eab0-4a52-bbd3-84744f38ae27",
+      "name": "label",
+      "title": "label",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "yes",
+            "text": "yes",
+            "description": null
+          },
+          {
+            "value": "no",
+            "text": "no",
+            "description": null
+          }
+        ],
+        "visible_options": null
+      },
+      "dataset_id": "ff92c069-ed92-4380-ac47-559bff34ed3e",
+      "inserted_at": "2025-02-07T10:57:53.173775",
+      "updated_at": "2025-02-07T10:57:53.173775"
+    }
+  ],
+  "metadata": [],
+  "vectors": []
+}

.argilla/version.json

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+{
+  "argilla": "2.6.0"
+}

README.md

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 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: inserted_at
-    dtype: timestamp[us]
-  - name: updated_at
-    dtype: timestamp[us]
-  - name: _server_id
-    dtype: string
-  - name: content
-    dtype: string
-  - name: title
-    dtype: string
-  - name: description
-    dtype: string
-  - name: url
-    dtype: string
-  - name: source
-    dtype: string
-  - name: ques1
-    dtype: string
-  - name: ques2
-    dtype: string
-  - name: ques3
-    dtype: string
-  - name: label.responses
-    dtype: 'null'
-  - name: label.responses.users
-    dtype: 'null'
-  - name: label.responses.status
-    dtype: 'null'
-  splits:
-  - name: train
-    num_bytes: 84694
-    num_examples: 75
-  download_size: 54131
-  dataset_size: 84694
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- rlfh
+- argilla
+- human-feedback
 ---
+
+# Dataset Card for techchefz-website-data-v5
+
+
+
+
+
+
+
+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).
+
+
+## Using this dataset with Argilla
+
+To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
+
+```python
+import argilla as rg
+
+ds = rg.Dataset.from_hub("Shashwat13333/techchefz-website-data-v5", settings="auto")
+```
+
+This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
+
+## Using this dataset with `datasets`
+
+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:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Shashwat13333/techchefz-website-data-v5")
+```
+
+This will only load the records of the dataset, but not the Argilla settings.
+
+## Dataset Structure
+
+This dataset repo contains:
+
+* 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`.
+* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
+* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
+
+The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
+
+### Fields
+
+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.
+
+| Field Name | Title | Type | Required |
+| ---------- | ----- | ---- | -------- |
+| content | content | text | True |
+| title | title | text | True |
+| description | description | text | True |
+| url | url | text | True |
+| source | source | text | True |
+| ques1 | ques1 | text | True |
+| ques2 | ques2 | text | True |
+| ques3 | ques3 | text | True |
+
+
+### Questions
+
+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.
+
+| Question Name | Title | Type | Required | Description | Values/Labels |
+| ------------- | ----- | ---- | -------- | ----------- | ------------- |
+| label | label | label_selection | True | N/A | ['yes', 'no'] |
+
+
+<!-- check length of metadata properties -->
+
+
+
+
+### Data Splits
+
+The dataset contains a single split, which is `train`.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation guidelines
+
+These are some guidelines.
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]