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.argilla/dataset.json

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+{"id": "c8e08775-b248-4205-8388-084e56d4093b", "inserted_at": "2025-02-04T07:34:26.911097", "updated_at": "2025-02-04T07:34:27.228788", "name": "anotaciones Mapi", "status": "ready", "guidelines": "These are some guidelines", "allow_extra_metadata": false, "distribution": {"strategy": "overlap", "min_submitted": 1}, "workspace_id": "a80aa9e3-bf31-417f-853e-dea0ce43f33a", "last_activity_at": "2025-02-04T07:34:27.228788"}

.argilla/settings.json

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+{"guidelines": "These are some guidelines", "questions": [{"id": "940ef56c-b7de-4a48-8fd3-9ad61a3d01cc", "inserted_at": "2025-02-04T07:34:27.123574", "updated_at": "2025-02-04T07:34:27.123574", "name": "label", "settings": {"type": "label_selection", "options": [{"value": "Ser", "text": "Ser", "description": null}, {"value": "Estar", "text": "Estar", "description": null}, {"value": "Ambas", "text": "Ambas", "description": null}, {"value": "Ninguna", "text": "Ninguna", "description": null}], "visible_options": 4}, "title": "\u00bfQu\u00e9 frase es correcta?", "description": null, "required": true, "dataset_id": "c8e08775-b248-4205-8388-084e56d4093b", "type": "label_selection"}, {"id": "bead19ee-80dc-43fb-902d-17800e1f0514", "inserted_at": "2025-02-04T07:34:27.179079", "updated_at": "2025-02-04T07:34:27.179079", "name": "comments", "settings": {"type": "text", "use_markdown": false}, "title": "Comentarios", "description": null, "required": false, "dataset_id": "c8e08775-b248-4205-8388-084e56d4093b", "type": "text"}], "fields": [{"id": "31511bc1-7d27-45da-9d33-eb058c1d6050", "inserted_at": "2025-02-04T07:34:27.029103", "updated_at": "2025-02-04T07:34:27.029103", "name": "Ser", "settings": {"type": "text", "use_markdown": false}, "title": "Ser", "required": true, "description": null, "dataset_id": "c8e08775-b248-4205-8388-084e56d4093b", "type": "text"}, {"id": "0a7e8b11-2345-46ec-b919-f5b408973b3c", "inserted_at": "2025-02-04T07:34:27.075990", "updated_at": "2025-02-04T07:34:27.075990", "name": "Estar", "settings": {"type": "text", "use_markdown": false}, "title": "Estar", "required": true, "description": null, "dataset_id": "c8e08775-b248-4205-8388-084e56d4093b", "type": "text"}], "vectors": [], "metadata": [], "allow_extra_metadata": false, "distribution": {"strategy": "overlap", "min_submitted": 1}, "mapping": null}

README.md

@@ -1,31 +1,184 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: _server_id
-    dtype: string
-  - name: Ser
-    dtype: string
-  - name: Estar
-    dtype: string
-  - name: label.responses.status
-    sequence: string
-  - name: label.responses
-    sequence: string
-  - name: label.responses.users
-    sequence: string
-  splits:
-  - name: train
-    num_bytes: 235427
-    num_examples: 500
-  download_size: 139621
-  dataset_size: 235427
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+size_categories: n<1K
+tags:
+- rlfh
+- argilla
+- human-feedback
 ---
+
+# Dataset Card for anotaciones_mapi
+
+
+
+
+
+
+
+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("joheras/anotaciones_mapi", 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("joheras/anotaciones_mapi")
+```
+
+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 |
+| ---------- | ----- | ---- | -------- | -------- |
+| Ser | Ser | text | True | False |
+| Estar | Estar | 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 | ¿Qué frase es correcta? | label_selection | True | N/A | ['Ser', 'Estar', 'Ambas', 'Ninguna'] |
+| comments | Comentarios | text | False | N/A | N/A |
+
+
+<!-- check length of metadata properties -->
+
+
+
+
+
+### Data Instances
+
+An example of a dataset instance in Argilla looks as follows:
+
+```json
+{
+    "_server_id": "1a7eb41f-a221-4a20-80e3-9998a41392ce",
+    "fields": {
+        "Estar": " para el 2020 se fija la meta de reducir considerablemente la proporci\u00f3n de j\u00f3venes que no est\u00e9n empleados y no cursan estudios ni reciben capacitaci\u00f3n",
+        "Ser": "  para el 2020 se fija la meta de reducir considerablemente la proporci\u00f3n de j\u00f3venes que no sean empleados y no cursan estudios ni reciben capacitaci\u00f3n"
+    },
+    "id": "train_0",
+    "metadata": {},
+    "responses": {},
+    "status": "pending",
+    "suggestions": {},
+    "vectors": {}
+}
+```
+
+While the same record in HuggingFace `datasets` looks as follows:
+
+```json
+{
+    "Estar": " para el 2020 se fija la meta de reducir considerablemente la proporci\u00f3n de j\u00f3venes que no est\u00e9n empleados y no cursan estudios ni reciben capacitaci\u00f3n",
+    "Ser": "  para el 2020 se fija la meta de reducir considerablemente la proporci\u00f3n de j\u00f3venes que no sean empleados y no cursan estudios ni reciben capacitaci\u00f3n",
+    "_server_id": "1a7eb41f-a221-4a20-80e3-9998a41392ce",
+    "id": "train_0",
+    "label.responses": null,
+    "label.responses.status": null,
+    "label.responses.users": null,
+    "status": "pending"
+}
+```
+
+
+### 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]