Upload folder using huggingface_hub

.argilla/dataset.json

@@ -0,0 +1,36 @@
+{
+  "id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+  "name": "sentiment_challenge",
+  "guidelines": null,
+  "allow_extra_metadata": true,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "metadata": {
+    "repoId": "Ranasalh/sentiment_challenge",
+    "subset": "default",
+    "split": "train",
+    "mapping": {
+      "fields": [
+        {
+          "source": "review",
+          "target": "review"
+        }
+      ],
+      "metadata": [
+        {
+          "source": "id",
+          "target": "id"
+        }
+      ],
+      "suggestions": []
+    },
+    "imported": "UI"
+  },
+  "workspace_id": "8fda4306-14a5-4aa4-9904-91ec775b5dc5",
+  "last_activity_at": "2025-09-24T07:36:52.553109",
+  "inserted_at": "2025-09-24T07:16:44.232088",
+  "updated_at": "2025-09-24T07:16:45.414536"
+}

.argilla/settings.json

@@ -0,0 +1,73 @@
+{
+  "guidelines": null,
+  "allow_extra_metadata": true,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "fields": [
+    {
+      "id": "4f420e17-0d0a-4d01-bb6e-c434f25b78e3",
+      "name": "review",
+      "title": "review",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:44.485404",
+      "updated_at": "2025-09-24T07:16:44.485404"
+    }
+  ],
+  "questions": [
+    {
+      "id": "9ca859e5-8131-466a-b940-1a7275a94c58",
+      "name": "label_0",
+      "title": "label_0",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "positive",
+            "text": "positive",
+            "description": null
+          },
+          {
+            "value": "negative",
+            "text": "negative",
+            "description": null
+          },
+          {
+            "value": "neutral",
+            "text": "neutral",
+            "description": null
+          }
+        ],
+        "visible_options": null
+      },
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:44.728330",
+      "updated_at": "2025-09-24T07:16:44.728330"
+    }
+  ],
+  "metadata": [
+    {
+      "id": "56cf4038-9584-4b7d-88ab-7dc1b026aca2",
+      "name": "id",
+      "title": "id",
+      "settings": {
+        "type": "integer",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": true,
+      "dataset_id": "33c67ef0-f476-47a5-b348-d017b7abb5cb",
+      "inserted_at": "2025-09-24T07:16:45.131625",
+      "updated_at": "2025-09-24T07:16:45.131625"
+    }
+  ],
+  "vectors": []
+}

.argilla/version.json

@@ -0,0 +1,3 @@
+{
+  "argilla": "2.8.0"
+}

README.md

@@ -1,36 +1,152 @@
----
-license: apache-2.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-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: review
-    dtype: string
-  - name: label_0.responses
-    sequence: string
-  - name: label_0.responses.users
-    sequence: string
-  - name: label_0.responses.status
-    sequence: string
-  - name: metadata.id
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 159783
-    num_examples: 100
-  download_size: 111238
-  dataset_size: 159783
----
+---
+tags:
+- rlfh
+- argilla
+- human-feedback
+---
+
+# Dataset Card for sentiment_challenge
+
+
+
+
+
+
+
+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("Ranasalh/sentiment_challenge", 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("Ranasalh/sentiment_challenge")
+```
+
+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 |
+| ---------- | ----- | ---- | -------- |
+| review | review | text | False |
+
+
+### 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_0 | label_0 | label_selection | True | N/A | ['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 |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+ | id | id | integer |  -  | True |
+
+
+
+
+
+### 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
+
+[More Information 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
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]