Upload folder using huggingface_hub

.argilla/dataset.json

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+{
+  "id": "94204c94-e780-46b5-ba33-2502738d89b1",
+  "name": "my-distiset-be899639",
+  "guidelines": "Please review the text and provide or correct the label where needed.",
+  "allow_extra_metadata": false,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "metadata": null,
+  "workspace_id": "5eddffac-76ff-4812-8264-5f3940fbc4f4",
+  "last_activity_at": "2025-01-07T13:24:03.383050",
+  "inserted_at": "2025-01-07T13:24:02.457347",
+  "updated_at": "2025-01-07T13:24:03.383050"
+}

.argilla/settings.json

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+{
+  "guidelines": "Please review the text and provide or correct the label where needed.",
+  "allow_extra_metadata": false,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "fields": [
+    {
+      "id": "ecdc9c05-e79a-48ff-9ea4-151161e435bf",
+      "name": "text",
+      "title": "Text",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "94204c94-e780-46b5-ba33-2502738d89b1",
+      "inserted_at": "2025-01-07T13:24:02.803389",
+      "updated_at": "2025-01-07T13:24:02.803389"
+    }
+  ],
+  "questions": [
+    {
+      "id": "ce18f39e-5ecd-4006-be7d-844c8d1969ca",
+      "name": "labels",
+      "title": "Labels",
+      "description": "The labels of the conversation",
+      "required": true,
+      "settings": {
+        "type": "multi_label_selection",
+        "options": [
+          {
+            "value": "positive",
+            "text": "positive",
+            "description": null
+          },
+          {
+            "value": "negative",
+            "text": "negative",
+            "description": null
+          },
+          {
+            "value": "neutral",
+            "text": "neutral",
+            "description": null
+          }
+        ],
+        "visible_options": 3,
+        "options_order": "natural"
+      },
+      "dataset_id": "94204c94-e780-46b5-ba33-2502738d89b1",
+      "inserted_at": "2025-01-07T13:24:02.918677",
+      "updated_at": "2025-01-07T13:24:02.918677"
+    }
+  ],
+  "metadata": [
+    {
+      "id": "e03234aa-4836-4439-8b16-255ef43ed81c",
+      "name": "text_length",
+      "title": "Text Length",
+      "settings": {
+        "type": "integer",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": true,
+      "dataset_id": "94204c94-e780-46b5-ba33-2502738d89b1",
+      "inserted_at": "2025-01-07T13:24:03.238662",
+      "updated_at": "2025-01-07T13:24:03.238662"
+    }
+  ],
+  "vectors": [
+    {
+      "id": "493ad350-ddc5-44a9-b328-ba807f6f8d22",
+      "name": "text_embeddings",
+      "title": "text_embeddings",
+      "dimensions": 256,
+      "dataset_id": "94204c94-e780-46b5-ba33-2502738d89b1",
+      "inserted_at": "2025-01-07T13:24:03.135083",
+      "updated_at": "2025-01-07T13:24:03.135083"
+    }
+  ]
+}

.argilla/version.json

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

README.md

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 ---
-size_categories: n<1K
-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: text
-    dtype: string
-  - name: labels.responses
-    dtype: 'null'
-  - name: labels.responses.users
-    dtype: 'null'
-  - name: labels.responses.status
-    dtype: 'null'
-  - name: labels.suggestion
-    sequence: string
-  - name: labels.suggestion.agent
-    dtype: 'null'
-  - name: labels.suggestion.score
-    dtype: 'null'
-  - name: metadata.text_length
-    dtype: int64
-  - name: vector.text_embeddings
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 24013
-    num_examples: 10
-  download_size: 29439
-  dataset_size: 24013
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 tags:
-- synthetic
-- distilabel
-- rlaif
-- datacraft
+- rlfh
+- argilla
+- human-feedback
 ---
 
-<p align="left">
-  <a href="https://github.com/argilla-io/distilabel">
-    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
-  </a>
-</p>
-
 # Dataset Card for my-distiset-be899639
 
-This dataset has been created with [distilabel](https://distilabel.argilla.io/).
-
 
 
-## Dataset Summary
 
-This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
 
-```console
-distilabel pipeline run --config "https://huggingface.co/datasets/Hemg/my-distiset-be899639/raw/main/pipeline.yaml"
-```
 
-or explore the configuration:
 
-```console
-distilabel pipeline info --config "https://huggingface.co/datasets/Hemg/my-distiset-be899639/raw/main/pipeline.yaml"
-```
+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).
 
-## Dataset structure
 
-The examples have the following structure per configuration:
+## 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:
 
-<details><summary> Configuration: default </summary><hr>
+```python
+import argilla as rg
 
-```json
-{
-    "labels": [
-        0,
-        2
-    ],
-    "text": "The movie\u0027s plot was engaging and had some unexpected twists, but it didn\u0027t quite live up to the hype."
-}
+ds = rg.Dataset.from_hub("hemg/my-distiset-be899639", settings="auto")
 ```
 
-This subset can be loaded as:
+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("Hemg/my-distiset-be899639", "default")
+ds = load_dataset("hemg/my-distiset-be899639")
 ```
 
-Or simply as it follows, since there's only one configuration and is named `default`: 
+This will only load the records of the dataset, but not the Argilla settings.
 
-```python
-from datasets import load_dataset
+## Dataset Structure
 
-ds = load_dataset("Hemg/my-distiset-be899639")
-```
+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 |
+| ---------- | ----- | ---- | -------- |
+| text | Text | 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 |
+| ------------- | ----- | ---- | -------- | ----------- | ------------- |
+| labels | Labels | multi_label_selection | True | The labels of the conversation | ['positive', 'negative', 'neutral'] |
+
+
+<!-- check length of metadata properties -->
+
+### Metadata
+
+The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
+| Metadata Name | Title | Type | Values | Visible for Annotators |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+ | text_length | Text Length | integer |  -  | True |
+
+
+
+
+### Vectors
+The **vectors** contain a vector representation of the record that can be used in  search.
+
+| Vector Name | Title | Dimensions |
+|-------------|-------|------------|
+| text_embeddings | text_embeddings | [1, 256] |
+
+
+
+### 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
+
+Please review the text and provide or correct the label where needed.
+
+#### 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
 
-</details>
+[More Information Needed]
 
+### Citation Information
 
+[More Information Needed]
 
+### Contributions
 
+[More Information Needed]