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  1. .argilla/dataset.json +60 -0
  2. .argilla/settings.json +192 -0
  3. .argilla/version.json +3 -0
  4. README.md +158 -57
.argilla/dataset.json ADDED
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+ {
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+ "id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "name": "anotacion-kelly",
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+ "guidelines": null,
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+ "allow_extra_metadata": true,
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+ "status": "ready",
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+ "distribution": {
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+ "strategy": "overlap",
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+ "min_submitted": 1
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+ },
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+ "metadata": {
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+ "repoId": "joheras/anotacion-Kelly",
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+ "subset": "default",
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+ "split": "train",
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+ "mapping": {
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+ "fields": [
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+ {
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+ "source": "Sentence",
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+ "target": "Sentence"
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+ }
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+ ],
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+ "metadata": [
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+ {
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+ "source": "Unnamed: 0",
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+ "target": "Unnamed: 0"
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+ },
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+ {
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+ "source": "Number",
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+ "target": "Number"
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+ },
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+ {
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+ "source": "PpW2",
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+ "target": "PpW2"
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+ },
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+ {
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+ "source": "PpW3",
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+ "target": "PpW3"
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+ },
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+ {
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+ "source": "PpW4",
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+ "target": "PpW4"
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+ },
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+ {
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+ "source": "PpW5",
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+ "target": "PpW5"
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+ },
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+ {
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+ "source": "PpKenlm",
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+ "target": "PpKenlm"
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+ }
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+ ],
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+ "suggestions": []
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+ },
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+ "imported": "UI"
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+ },
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+ "last_activity_at": "2025-01-10T07:13:10.950335",
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+ "inserted_at": "2025-01-09T07:33:45.796522",
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+ "updated_at": "2025-01-09T07:33:47.581966"
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+ }
.argilla/settings.json ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ },
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+ "fields": [
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+ {
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+ "id": "72f402f8-cdcc-41c8-9b4e-db50472395f9",
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+ "name": "Sentence",
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+ "title": "Sentence",
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+ "required": false,
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+ "settings": {
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+ "type": "text",
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+ "use_markdown": false
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+ },
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.012244",
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+ "updated_at": "2025-01-09T07:33:46.012244"
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+ }
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+ ],
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+ "questions": [
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+ {
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+ "id": "66b9f1b0-2307-4e20-856f-e570efb1933d",
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+ "name": "label_0",
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+ "title": "¿Contiene ser o estar?",
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+ "description": null,
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+ "required": true,
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+ "settings": {
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+ "options": [
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+ {
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+ "value": "Sí",
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+ "text": "Sí",
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+ "description": null
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+ },
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+ {
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+ "value": "No",
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+ "text": "No",
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+ "description": null
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+ }
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+ "visible_options": null
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+ "updated_at": "2025-01-09T07:34:27.278014"
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+ },
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+ {
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+ "id": "384246a7-df2e-4251-8a70-16817c6b7871",
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+ "name": "label_1",
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+ "title": "¿Se ha usado incorrectamente el verbo ser por el estar o viceversa?",
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+ "description": null,
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+ "required": false,
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+ "settings": {
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+ "type": "label_selection",
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+ "options": [
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+ {
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+ "value": "Sí",
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+ "text": "Sí",
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+ "description": null
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+ },
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+ {
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+ "value": "No",
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+ "text": "No",
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+ "description": null
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+ }
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+ ],
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+ "visible_options": null
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+ },
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.284501",
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+ "updated_at": "2025-01-09T07:34:34.822870"
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+ },
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+ {
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+ "id": "4f1dd740-f07e-4393-a1e6-a3fa3eb3c16a",
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+ "name": "text_2",
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+ "title": "Comentarios",
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+ "use_markdown": false
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+ },
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.420069",
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+ "updated_at": "2025-01-09T07:34:45.808908"
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+ }
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+ ],
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+ "metadata": [
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+ {
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+ "id": "8c49d342-f73b-4ea5-8c64-4ad8f785566c",
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+ "name": "Unnamed: 0",
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+ "title": "Unnamed: 0",
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+ "settings": {
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+ "type": "integer",
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+ "min": null,
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.554254",
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+ "updated_at": "2025-01-09T07:33:46.554254"
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+ },
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+ {
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+ "id": "3914b652-fe5c-4b5c-a5d9-e5afb2d5ac31",
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+ "name": "Number",
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+ "title": "Number",
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+ "settings": {
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+ "type": "integer",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.691392",
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+ "updated_at": "2025-01-09T07:33:46.691392"
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+ },
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+ {
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+ "id": "a7d1fc60-9d62-4cdb-988f-a0e7b72d708c",
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+ "name": "PpW2",
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+ "title": "PpW2",
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+ "settings": {
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+ "type": "float",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:46.896749",
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+ "updated_at": "2025-01-09T07:33:46.896749"
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+ },
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+ {
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+ "id": "382d9906-0cdb-4ba9-9075-aca68febf245",
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+ "name": "PpW3",
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+ "title": "PpW3",
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+ "settings": {
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+ "type": "float",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:47.032729",
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+ "updated_at": "2025-01-09T07:33:47.032729"
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+ },
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+ {
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+ "id": "562b256f-9b5a-435f-93ee-b22b413a31b5",
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+ "name": "PpW4",
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+ "title": "PpW4",
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+ "settings": {
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+ "type": "float",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:47.175364",
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+ "updated_at": "2025-01-09T07:33:47.175364"
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+ },
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+ {
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+ "id": "efec762c-9f63-4293-93d4-30a706a61a69",
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+ "name": "PpW5",
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+ "title": "PpW5",
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+ "settings": {
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+ "type": "float",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:47.309631",
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+ "updated_at": "2025-01-09T07:33:47.309631"
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+ },
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+ {
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+ "id": "dfe0b474-a44e-4f74-aab9-8ed42ed136b9",
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+ "name": "PpKenlm",
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+ "title": "PpKenlm",
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+ "settings": {
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+ "type": "float",
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+ "min": null,
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+ "max": null
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+ },
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+ "visible_for_annotators": true,
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+ "dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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+ "inserted_at": "2025-01-09T07:33:47.442592",
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+ "updated_at": "2025-01-09T07:33:47.442592"
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+ }
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+ ],
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+ "vectors": []
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+ }
.argilla/version.json ADDED
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+ {
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+ "argilla": "2.6.0"
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+ }
README.md CHANGED
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  ---
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: status
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- dtype: string
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- - name: inserted_at
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- dtype: timestamp[us]
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- - name: updated_at
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- dtype: timestamp[us]
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- - name: _server_id
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- dtype: string
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- - name: Sentence
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- dtype: string
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- - name: label_0.responses
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- sequence: string
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- - name: label_0.responses.users
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- sequence: string
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- - name: label_0.responses.status
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- sequence: string
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- - name: label_1.responses
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- sequence: string
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- - name: label_1.responses.users
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- sequence: string
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- - name: label_1.responses.status
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- sequence: string
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- - name: text_2.responses
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- sequence: string
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- - name: text_2.responses.users
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- sequence: string
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- - name: text_2.responses.status
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- sequence: string
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- - name: 'metadata.Unnamed: 0'
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- dtype: int64
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- - name: metadata.Number
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- dtype: int64
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- - name: metadata.PpW2
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- dtype: float64
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- - name: metadata.PpW3
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- dtype: float64
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- - name: metadata.PpW4
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- dtype: float64
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- - name: metadata.PpW5
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- dtype: float64
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- - name: metadata.PpKenlm
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 131594
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- num_examples: 436
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- download_size: 89469
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- dataset_size: 131594
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ tags:
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+ - rlfh
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+ - argilla
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+ - human-feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Dataset Card for anotacion-kelly-ckpt
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+
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+
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+
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+
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+
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+
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+
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+ 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).
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+
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+
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+ ## Using this dataset with Argilla
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+
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+ To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
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+
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+ ```python
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+ import argilla as rg
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+
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+ ds = rg.Dataset.from_hub("joheras/anotacion-kelly-ckpt", settings="auto")
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+ ```
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+
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+ This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
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+
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+ ## Using this dataset with `datasets`
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+
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+ 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:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("joheras/anotacion-kelly-ckpt")
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+ ```
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+
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+ This will only load the records of the dataset, but not the Argilla settings.
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+
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+ ## Dataset Structure
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+
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+ This dataset repo contains:
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+
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+ * 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`.
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+ * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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+ * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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+
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+ The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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+
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+ ### Fields
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+
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+ 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.
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+
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+ | Field Name | Title | Type | Required |
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+ | ---------- | ----- | ---- | -------- |
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+ | Sentence | Sentence | text | False |
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+
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+
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+ ### Questions
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+
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+ 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.
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+
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+ | Question Name | Title | Type | Required | Description | Values/Labels |
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+ | ------------- | ----- | ---- | -------- | ----------- | ------------- |
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+ | label_0 | ¿Contiene ser o estar? | label_selection | True | N/A | ['Sí', 'No'] |
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+ | label_1 | ¿Se ha usado incorrectamente el verbo ser por el estar o viceversa? | label_selection | False | N/A | ['Sí', 'No'] |
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+ | text_2 | Comentarios | text | False | N/A | N/A |
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+
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+
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+ <!-- check length of metadata properties -->
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+
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+ ### Metadata
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+
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+ The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
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+ | Metadata Name | Title | Type | Values | Visible for Annotators |
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+ | ------------- | ----- | ---- | ------ | ---------------------- |
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+ | Unnamed: 0 | Unnamed: 0 | integer | - | True |
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+ | Number | Number | integer | - | True |
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+ | PpW2 | PpW2 | float | - | True |
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+ | PpW3 | PpW3 | float | - | True |
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+ | PpW4 | PpW4 | float | - | True |
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+ | PpW5 | PpW5 | float | - | True |
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+ | PpKenlm | PpKenlm | float | - | True |
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+
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+
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+
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+
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+
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+ ### Data Splits
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+
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+ The dataset contains a single split, which is `train`.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation guidelines
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+
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+ [More Information Needed]
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
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+
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+ ### Contributions
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+
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+ [More Information Needed]