Upload folder using huggingface_hub

.argilla/dataset.json

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+{"id": "eaf478e7-c8c8-405b-9292-34874013ca5c", "inserted_at": "2025-10-04T18:07:47.688879", "updated_at": "2025-10-04T18:07:48.302304", "name": "my_dataset", "status": "ready", "guidelines": "These are some guidelines.", "allow_extra_metadata": false, "distribution": {"strategy": "overlap", "min_submitted": 1}, "workspace_id": "73be8219-ea13-4fd8-a384-6783e0a1a72b", "last_activity_at": "2025-10-04T18:07:48.302304"}

.argilla/settings.json

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+{"guidelines": "These are some guidelines.", "questions": [{"id": "28322dc9-4039-48ea-9e6b-f96ea2281386", "inserted_at": "2025-10-04T18:07:48.130119", "updated_at": "2025-10-04T18:07:48.130119", "name": "label", "settings": {"type": "label_selection", "options": [{"value": "yes", "text": "yes", "description": null}, {"value": "no", "text": "no", "description": null}], "visible_options": null}, "title": "label", "description": null, "required": true, "dataset_id": "eaf478e7-c8c8-405b-9292-34874013ca5c", "type": "label_selection"}], "fields": [{"id": "c629b0f6-5df0-40b5-86b4-bdb9961c21c4", "inserted_at": "2025-10-04T18:07:47.965794", "updated_at": "2025-10-04T18:07:47.965794", "name": "text", "settings": {"type": "text", "use_markdown": false}, "title": "text", "required": true, "description": null, "dataset_id": "eaf478e7-c8c8-405b-9292-34874013ca5c", "type": "text"}], "vectors": [], "metadata": [], "allow_extra_metadata": false, "distribution": {"strategy": "overlap", "min_submitted": 1}, "mapping": null}

README.md

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 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: _server_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: label.responses
-    list: string
-  - name: label.responses.users
-    list: string
-  - name: label.responses.status
-    list: string
-  - name: label.suggestion
-    dtype:
-      class_label:
-        names:
-          '0': 'yes'
-  - name: label.suggestion.score
-    dtype: 'null'
-  - name: label.suggestion.agent
-    dtype: 'null'
-  splits:
-  - name: train
-    num_bytes: 207
-    num_examples: 1
-  download_size: 5316
-  dataset_size: 207
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+size_categories: n<1K
+tags:
+- rlfh
+- argilla
+- human-feedback
 ---
+
+# Dataset Card for my_dataset_copy
+
+
+
+
+
+
+
+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("i-am-waqas/my_dataset_copy", 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("i-am-waqas/my_dataset_copy")
+```
+
+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 | Markdown |
+| ---------- | ----- | ---- | -------- | -------- |
+| text | text | text | True | 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 | label | label_selection | True | N/A | ['yes', 'no'] |
+
+
+<!-- check length of metadata properties -->
+
+
+
+
+
+### Data Instances
+
+An example of a dataset instance in Argilla looks as follows:
+
+```json
+{
+    "_server_id": "99d1f10d-b81b-4379-8dbe-a7c859435d83",
+    "fields": {
+        "text": "Do you need oxygen to breathe?"
+    },
+    "id": "529e1a91-6f17-4a05-8c48-29d5897fd165",
+    "metadata": {},
+    "responses": {
+        "label": [
+            {
+                "user_id": "3eed552e-8105-4bbd-bf58-ea7443378c21",
+                "value": "yes"
+            }
+        ]
+    },
+    "status": "completed",
+    "suggestions": {
+        "label": {
+            "agent": null,
+            "score": null,
+            "value": "yes"
+        }
+    },
+    "vectors": {}
+}
+```
+
+While the same record in HuggingFace `datasets` looks as follows:
+
+```json
+{
+    "_server_id": "99d1f10d-b81b-4379-8dbe-a7c859435d83",
+    "id": "529e1a91-6f17-4a05-8c48-29d5897fd165",
+    "label.responses": [
+        "yes"
+    ],
+    "label.responses.status": [
+        "submitted"
+    ],
+    "label.responses.users": [
+        "3eed552e-8105-4bbd-bf58-ea7443378c21"
+    ],
+    "label.suggestion": 0,
+    "label.suggestion.agent": null,
+    "label.suggestion.score": null,
+    "status": "completed",
+    "text": "Do you need oxygen to breathe?"
+}
+```
+
+
+### 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]