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.argilla/dataset.json

@@ -0,0 +1,44 @@
+{
+  "id": "f533b0c7-be54-4038-9611-75a437c12821",
+  "name": "training_sample1",
+  "guidelines": null,
+  "allow_extra_metadata": false,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 2
+  },
+  "metadata": {
+    "repoId": "Jszabo16/training_sample1",
+    "subset": "default",
+    "split": "train",
+    "mapping": {
+      "fields": [
+        {
+          "source": "Name",
+          "target": "Name"
+        },
+        {
+          "source": "Transcript_chunks",
+          "target": "Transcript_chunks"
+        }
+      ],
+      "metadata": [
+        {
+          "source": "Unique_ID",
+          "target": "Unique_ID"
+        },
+        {
+          "source": "Year",
+          "target": "Year"
+        }
+      ],
+      "suggestions": []
+    },
+    "imported": "UI"
+  },
+  "workspace_id": "dbece7f0-3b35-42b8-b746-85f67e7a32a3",
+  "last_activity_at": "2025-10-28T16:19:51.247101",
+  "inserted_at": "2025-07-21T15:15:25.756652",
+  "updated_at": "2025-07-21T15:20:11.759633"
+}

.argilla/settings.json

@@ -0,0 +1,306 @@
+{
+  "guidelines": null,
+  "allow_extra_metadata": false,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 2
+  },
+  "fields": [
+    {
+      "id": "69aca48d-651a-4c34-8a74-110584ec4ada",
+      "name": "Name",
+      "title": "Name",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:26.081736",
+      "updated_at": "2025-07-21T15:15:26.081736"
+    },
+    {
+      "id": "6105fe4d-1000-460f-afe7-a5c5c34a12b5",
+      "name": "Transcript_chunks",
+      "title": "Transcript_chunks",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:26.342065",
+      "updated_at": "2025-07-21T15:15:26.342065"
+    }
+  ],
+  "questions": [
+    {
+      "id": "24c943c1-e71b-4431-8010-0cff4c1d3056",
+      "name": "label_0",
+      "title": "Postoj",
+      "description": "CELKOVÝ POSTOJ k EÚ vyjadrený rečníkom/rečníčkou pri prednese prejavu",
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "for",
+            "text": "for",
+            "description": null
+          },
+          {
+            "value": "against",
+            "text": "against",
+            "description": null
+          },
+          {
+            "value": "neutral",
+            "text": "neutral",
+            "description": null
+          }
+        ],
+        "visible_options": null
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:26.611955",
+      "updated_at": "2025-07-21T15:16:58.925156"
+    },
+    {
+      "id": "e16101d6-77c8-4092-99a0-05899d878a5b",
+      "name": "span_1",
+      "title": "Highlight postoj",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "span",
+        "field": "Transcript_chunks",
+        "options": [
+          {
+            "value": "for",
+            "text": "for",
+            "description": null
+          },
+          {
+            "value": "against",
+            "text": "against",
+            "description": null
+          },
+          {
+            "value": "neutral",
+            "text": "neutral",
+            "description": null
+          }
+        ],
+        "visible_options": null,
+        "allow_overlapping": true,
+        "allow_character_annotation": true
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:26.901506",
+      "updated_at": "2025-07-21T15:20:18.453086"
+    },
+    {
+      "id": "880a999a-5702-4a45-b59f-ba5ad55e7d93",
+      "name": "label_2",
+      "title": "Sentiment",
+      "description": "CELKOVÝ SENTIMENT analyzovaného dokumentu vyjadrený rečníkom/rečníčkou pri prednese prejavu",
+      "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": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:27.191322",
+      "updated_at": "2025-07-21T15:17:54.927114"
+    },
+    {
+      "id": "7eefce32-ca76-4294-8f6e-d842454bb585",
+      "name": "text_5",
+      "title": "Sentiment odôvodnenie",
+      "description": null,
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:27.488821",
+      "updated_at": "2025-07-21T15:20:22.875724"
+    },
+    {
+      "id": "15f7f37e-81d9-4de4-8cb7-c4888d91744e",
+      "name": "multi-label_4",
+      "title": "Topic CAP 21",
+      "description": "Master CAP Codebook https://comparativeagendas.net/pages/master-codebook",
+      "required": true,
+      "settings": {
+        "type": "multi_label_selection",
+        "options": [
+          {
+            "value": "1. Macroeconomics",
+            "text": "1. Macroeconomics",
+            "description": null
+          },
+          {
+            "value": "2. Civil Rights",
+            "text": " 2. Civil Rights",
+            "description": null
+          },
+          {
+            "value": "3. Health",
+            "text": " 3. Health",
+            "description": null
+          },
+          {
+            "value": "4. Agriculture",
+            "text": " 4. Agriculture",
+            "description": null
+          },
+          {
+            "value": "5. Labor",
+            "text": " 5. Labor",
+            "description": null
+          },
+          {
+            "value": "6. Education",
+            "text": " 6. Education",
+            "description": null
+          },
+          {
+            "value": "7. Environment",
+            "text": " 7. Environment",
+            "description": null
+          },
+          {
+            "value": "8. Energy",
+            "text": " 8. Energy",
+            "description": null
+          },
+          {
+            "value": "9. Immigration",
+            "text": " 9. Immigration",
+            "description": null
+          },
+          {
+            "value": "10. Transportation",
+            "text": " 10. Transportation",
+            "description": null
+          },
+          {
+            "value": "12. Law and Crime",
+            "text": " 12. Law and Crime",
+            "description": null
+          },
+          {
+            "value": "13. Social Welfare",
+            "text": " 13. Social Welfare",
+            "description": null
+          },
+          {
+            "value": "14. Housing",
+            "text": " 14. Housing",
+            "description": null
+          },
+          {
+            "value": "15. Banking Finance and Domestic Commerce",
+            "text": " 15. Banking Finance and Domestic Commerce",
+            "description": null
+          },
+          {
+            "value": "16. Defense",
+            "text": " 16. Defense",
+            "description": null
+          },
+          {
+            "value": "17. Technology",
+            "text": " 17. Technology",
+            "description": null
+          },
+          {
+            "value": "18. Foreign Trade",
+            "text": " 18. Foreign Trade",
+            "description": null
+          },
+          {
+            "value": "19. International Affairs",
+            "text": " 19. International Affairs",
+            "description": null
+          },
+          {
+            "value": "20. Government Operations",
+            "text": " 20. Government Operations",
+            "description": null
+          },
+          {
+            "value": "21. Public Lands",
+            "text": " 21. Public Lands",
+            "description": null
+          },
+          {
+            "value": "23. Culture",
+            "text": " 23. Culture",
+            "description": null
+          },
+          {
+            "value": "999. No Policy Content",
+            "text": " 999. No Policy Content",
+            "description": null
+          }
+        ],
+        "visible_options": 22,
+        "options_order": "natural"
+      },
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:27.771457",
+      "updated_at": "2025-07-21T15:19:25.669449"
+    }
+  ],
+  "metadata": [
+    {
+      "id": "1705b242-4cd7-4c83-a6f4-2a8ad9e43cc7",
+      "name": "Unique_ID",
+      "title": "Unique_ID",
+      "settings": {
+        "type": "integer",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": true,
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:28.048292",
+      "updated_at": "2025-07-21T15:15:28.048292"
+    },
+    {
+      "id": "d0a4cbc1-0272-44d0-adb2-84003941739e",
+      "name": "Year",
+      "title": "Year",
+      "settings": {
+        "type": "integer",
+        "min": null,
+        "max": null
+      },
+      "visible_for_annotators": false,
+      "dataset_id": "f533b0c7-be54-4038-9611-75a437c12821",
+      "inserted_at": "2025-07-21T15:15:28.312506",
+      "updated_at": "2025-07-21T15:19:58.089030"
+    }
+  ],
+  "vectors": []
+}

.argilla/version.json

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+{
+  "argilla": "2.8.0"
+}

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: Name
-    dtype: string
-  - name: Transcript_chunks
-    dtype: string
-  - name: label_0.responses
-    sequence: string
-  - name: label_0.responses.users
-    sequence: string
-  - name: label_0.responses.status
-    sequence: string
-  - name: span_1.responses
-    list:
-      list:
-      - name: end
-        dtype: int64
-      - name: label
-        dtype: string
-      - name: start
-        dtype: int64
-  - name: span_1.responses.users
-    sequence: string
-  - name: span_1.responses.status
-    sequence: string
-  - name: label_2.responses
-    sequence: string
-  - name: label_2.responses.users
-    sequence: string
-  - name: label_2.responses.status
-    sequence: string
-  - name: text_5.responses
-    sequence: string
-  - name: text_5.responses.users
-    sequence: string
-  - name: text_5.responses.status
-    sequence: string
-  - name: multi-label_4.responses
-    sequence:
-      sequence: string
-  - name: multi-label_4.responses.users
-    sequence: string
-  - name: multi-label_4.responses.status
-    sequence: string
-  - name: metadata.Unique_ID
-    dtype: int64
-  - name: metadata.Year
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 359943
-    num_examples: 65
-  download_size: 199511
-  dataset_size: 359943
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- rlfh
+- argilla
+- human-feedback
 ---
+
+# Dataset Card for training_sample1_annotated2
+
+
+
+
+
+
+
+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("Jszabo16/training_sample1_annotated2", 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("Jszabo16/training_sample1_annotated2")
+```
+
+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 |
+| ---------- | ----- | ---- | -------- |
+| Name | Name | text | False |
+| Transcript_chunks | Transcript_chunks | 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 | Postoj | label_selection | True | CELKOVÝ POSTOJ k EÚ vyjadrený rečníkom/rečníčkou pri prednese prejavu | ['for', 'against', 'neutral'] |
+| span_1 | Highlight postoj | span | True | N/A | ['for', 'against', 'neutral'] |
+| label_2 | Sentiment | label_selection | True | CELKOVÝ SENTIMENT analyzovaného dokumentu vyjadrený rečníkom/rečníčkou pri prednese prejavu | ['positive', 'negative', 'neutral'] |
+| text_5 | Sentiment odôvodnenie | text | True | N/A | N/A |
+| multi-label_4 | Topic CAP 21 | multi_label_selection | True | Master CAP Codebook https://comparativeagendas.net/pages/master-codebook | ['1. Macroeconomics', '2. Civil Rights', '3. Health', '4. Agriculture', '5. Labor', '6. Education', '7. Environment', '8. Energy', '9. Immigration', '10. Transportation', '12. Law and Crime', '13. Social Welfare', '14. Housing', '15. Banking Finance and Domestic Commerce', '16. Defense', '17. Technology', '18. Foreign Trade', '19. International Affairs', '20. Government Operations', '21. Public Lands', '23. Culture', '999. No Policy Content'] |
+
+
+<!-- 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 |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+ | Unique_ID | Unique_ID | integer |  -  | True |
+ | Year | Year | integer |  -  | False |
+
+
+
+
+
+### 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]