Upload folder using huggingface_hub
Browse files- .argilla/dataset.json +60 -0
- .argilla/settings.json +192 -0
- .argilla/version.json +3 -0
- README.md +158 -57
.argilla/dataset.json
ADDED
@@ -0,0 +1,60 @@
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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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"workspace_id": "359cdbd6-8765-4064-a26c-10a9c7c1f2ba",
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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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}
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.argilla/settings.json
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{
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"guidelines": null,
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"allow_extra_metadata": true,
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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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"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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"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": "2025-01-09T07:33:46.149417",
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"updated_at": "2025-01-09T07:34:27.278014"
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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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"id": "4f1dd740-f07e-4393-a1e6-a3fa3eb3c16a",
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"name": "text_2",
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"title": "Comentarios",
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"description": null,
|
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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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}
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],
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"metadata": [
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{
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{
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{
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"dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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{
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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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"id": "efec762c-9f63-4293-93d4-30a706a61a69",
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"name": "PpW5",
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"title": "PpW5",
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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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},
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{
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"id": "dfe0b474-a44e-4f74-aab9-8ed42ed136b9",
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"name": "PpKenlm",
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179 |
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"title": "PpKenlm",
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"settings": {
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181 |
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"type": "float",
|
182 |
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},
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"dataset_id": "cb576a29-1a57-421b-88e6-76085ee2b3cd",
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|
189 |
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}
|
190 |
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],
|
191 |
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"vectors": []
|
192 |
+
}
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.argilla/version.json
ADDED
@@ -0,0 +1,3 @@
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{
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"argilla": "2.6.0"
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}
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README.md
CHANGED
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---
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-
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-
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-
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-
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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
|
34 |
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- name: 'metadata.Unnamed: 0'
|
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dtype: int64
|
36 |
-
- name: metadata.Number
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dtype: int64
|
38 |
-
- name: metadata.PpW2
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-
dtype: float64
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40 |
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- name: metadata.PpW3
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dtype: float64
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42 |
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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
|
48 |
-
splits:
|
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- name: train
|
50 |
-
num_bytes: 131594
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-
num_examples: 436
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52 |
-
download_size: 89469
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dataset_size: 131594
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configs:
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55 |
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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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1 |
---
|
2 |
+
tags:
|
3 |
+
- rlfh
|
4 |
+
- argilla
|
5 |
+
- human-feedback
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|
6 |
---
|
7 |
+
|
8 |
+
# Dataset Card for anotacion-kelly-ckpt
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
|
13 |
+
|
14 |
+
|
15 |
+
|
16 |
+
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).
|
17 |
+
|
18 |
+
|
19 |
+
## Using this dataset with Argilla
|
20 |
+
|
21 |
+
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
|
22 |
+
|
23 |
+
```python
|
24 |
+
import argilla as rg
|
25 |
+
|
26 |
+
ds = rg.Dataset.from_hub("joheras/anotacion-kelly-ckpt", settings="auto")
|
27 |
+
```
|
28 |
+
|
29 |
+
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
|
30 |
+
|
31 |
+
## Using this dataset with `datasets`
|
32 |
+
|
33 |
+
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:
|
34 |
+
|
35 |
+
```python
|
36 |
+
from datasets import load_dataset
|
37 |
+
|
38 |
+
ds = load_dataset("joheras/anotacion-kelly-ckpt")
|
39 |
+
```
|
40 |
+
|
41 |
+
This will only load the records of the dataset, but not the Argilla settings.
|
42 |
+
|
43 |
+
## Dataset Structure
|
44 |
+
|
45 |
+
This dataset repo contains:
|
46 |
+
|
47 |
+
* 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`.
|
48 |
+
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
|
49 |
+
* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
|
50 |
+
|
51 |
+
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
|
52 |
+
|
53 |
+
### Fields
|
54 |
+
|
55 |
+
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.
|
56 |
+
|
57 |
+
| Field Name | Title | Type | Required |
|
58 |
+
| ---------- | ----- | ---- | -------- |
|
59 |
+
| Sentence | Sentence | text | False |
|
60 |
+
|
61 |
+
|
62 |
+
### Questions
|
63 |
+
|
64 |
+
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.
|
65 |
+
|
66 |
+
| Question Name | Title | Type | Required | Description | Values/Labels |
|
67 |
+
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
|
68 |
+
| label_0 | ¿Contiene ser o estar? | label_selection | True | N/A | ['Sí', 'No'] |
|
69 |
+
| label_1 | ¿Se ha usado incorrectamente el verbo ser por el estar o viceversa? | label_selection | False | N/A | ['Sí', 'No'] |
|
70 |
+
| text_2 | Comentarios | text | False | N/A | N/A |
|
71 |
+
|
72 |
+
|
73 |
+
<!-- check length of metadata properties -->
|
74 |
+
|
75 |
+
### Metadata
|
76 |
+
|
77 |
+
The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
|
78 |
+
| Metadata Name | Title | Type | Values | Visible for Annotators |
|
79 |
+
| ------------- | ----- | ---- | ------ | ---------------------- |
|
80 |
+
| Unnamed: 0 | Unnamed: 0 | integer | - | True |
|
81 |
+
| Number | Number | integer | - | True |
|
82 |
+
| PpW2 | PpW2 | float | - | True |
|
83 |
+
| PpW3 | PpW3 | float | - | True |
|
84 |
+
| PpW4 | PpW4 | float | - | True |
|
85 |
+
| PpW5 | PpW5 | float | - | True |
|
86 |
+
| PpKenlm | PpKenlm | float | - | True |
|
87 |
+
|
88 |
+
|
89 |
+
|
90 |
+
|
91 |
+
|
92 |
+
### Data Splits
|
93 |
+
|
94 |
+
The dataset contains a single split, which is `train`.
|
95 |
+
|
96 |
+
## Dataset Creation
|
97 |
+
|
98 |
+
### Curation Rationale
|
99 |
+
|
100 |
+
[More Information Needed]
|
101 |
+
|
102 |
+
### Source Data
|
103 |
+
|
104 |
+
#### Initial Data Collection and Normalization
|
105 |
+
|
106 |
+
[More Information Needed]
|
107 |
+
|
108 |
+
#### Who are the source language producers?
|
109 |
+
|
110 |
+
[More Information Needed]
|
111 |
+
|
112 |
+
### Annotations
|
113 |
+
|
114 |
+
#### Annotation guidelines
|
115 |
+
|
116 |
+
[More Information Needed]
|
117 |
+
|
118 |
+
#### Annotation process
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Who are the annotators?
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Personal and Sensitive Information
|
127 |
+
|
128 |
+
[More Information Needed]
|
129 |
+
|
130 |
+
## Considerations for Using the Data
|
131 |
+
|
132 |
+
### Social Impact of Dataset
|
133 |
+
|
134 |
+
[More Information Needed]
|
135 |
+
|
136 |
+
### Discussion of Biases
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
### Other Known Limitations
|
141 |
+
|
142 |
+
[More Information Needed]
|
143 |
+
|
144 |
+
## Additional Information
|
145 |
+
|
146 |
+
### Dataset Curators
|
147 |
+
|
148 |
+
[More Information Needed]
|
149 |
+
|
150 |
+
### Licensing Information
|
151 |
+
|
152 |
+
[More Information Needed]
|
153 |
+
|
154 |
+
### Citation Information
|
155 |
+
|
156 |
+
[More Information Needed]
|
157 |
+
|
158 |
+
### Contributions
|
159 |
+
|
160 |
+
[More Information Needed]
|