Upload folder using huggingface_hub
Browse files- .argilla/dataset.json +59 -0
- .argilla/settings.json +163 -0
- .argilla/version.json +3 -0
- README.md +149 -50
.argilla/dataset.json
ADDED
@@ -0,0 +1,59 @@
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{
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"id": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"name": "generate_path_process",
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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": "ZhJiHo/GeneratePathProcess",
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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": "task_id",
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"target": "task_id"
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},
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{
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"source": "task_data",
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"target": "task_data"
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},
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{
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"source": "all_path_1",
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"target": "all_path_1"
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},
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{
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"source": "all_path_2",
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"target": "all_path_2"
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},
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{
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"source": "all_path_3",
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"target": "all_path_3"
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},
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{
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"source": "all_path_4",
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"target": "all_path_4"
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},
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{
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"source": "all_path_5",
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"target": "all_path_5"
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},
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{
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"source": "all_path_6",
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"target": "all_path_6"
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}
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],
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"metadata": [],
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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": "68716f90-0c4d-4cbd-93f8-112991cb9a5b",
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"last_activity_at": "2025-04-22T04:02:38.314039",
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"inserted_at": "2025-04-22T01:49:36.434759",
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"updated_at": "2025-04-22T01:49:36.609417"
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}
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.argilla/settings.json
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@@ -0,0 +1,163 @@
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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": "785c714b-01e3-420d-9b9b-252d9290f462",
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"name": "task_id",
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"title": "task_id",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.453095",
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"updated_at": "2025-04-22T01:49:36.453095"
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},
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{
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"id": "7730c7c9-271a-4eb6-8c87-e801ce8f2f29",
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"name": "task_data",
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"title": "task_data",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.464730",
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"updated_at": "2025-04-22T01:49:36.464730"
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},
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{
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"id": "d0b92bb0-101f-4188-b67a-52e876c25950",
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"name": "all_path_1",
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"title": "all_path_1",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.477643",
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"updated_at": "2025-04-22T01:49:36.477643"
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},
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{
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"id": "fde5876f-e214-4ddf-97de-0e262b6a04e4",
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"name": "all_path_2",
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"title": "all_path_2",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.488236",
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"updated_at": "2025-04-22T01:49:36.488236"
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},
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{
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"id": "2f2fe2ff-0a17-44b5-bbf0-d20ce69b5502",
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"name": "all_path_3",
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"title": "all_path_3",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.501451",
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"updated_at": "2025-04-22T01:49:36.501451"
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},
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{
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"id": "000d118e-97a5-4c7e-89dd-1ad20ac5532e",
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"name": "all_path_4",
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"title": "all_path_4",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.513214",
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"updated_at": "2025-04-22T01:49:36.513214"
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},
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{
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"id": "db071dfc-9018-4db8-a2ac-10e7e651b5e7",
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"name": "all_path_5",
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"title": "all_path_5",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.522838",
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"updated_at": "2025-04-22T01:49:36.522838"
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},
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{
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"id": "3536eccb-c66a-4aee-bd31-391d15420568",
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"name": "all_path_6",
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"title": "all_path_6",
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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": "4e1e085a-6313-4a77-b386-448c99ff82d9",
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"inserted_at": "2025-04-22T01:49:36.532752",
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"updated_at": "2025-04-22T01:49:36.532752"
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}
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],
|
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"questions": [
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{
|
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"id": "b92eb315-06ee-46d4-9ed0-c7369a588e31",
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117 |
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"name": "ranking_0",
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"title": "ranking_0",
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"description": null,
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"required": true,
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"settings": {
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"type": "ranking",
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"options": [
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{
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"value": "all_path_1",
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"text": "Option 1",
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"description": null
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},
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{
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"value": "all_path_2",
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"text": "Option 2",
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"description": null
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},
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{
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"value": "all_path_3",
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"text": "option 3",
|
137 |
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"description": null
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},
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{
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"value": "all_path_4",
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"text": "option 4",
|
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"description": null
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},
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{
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"value": "all_path_5",
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"text": "option 5",
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"description": null
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},
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{
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"value": "all_path_6",
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"text": "option 6",
|
152 |
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"description": null
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153 |
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}
|
154 |
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]
|
155 |
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},
|
156 |
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"dataset_id": "4e1e085a-6313-4a77-b386-448c99ff82d9",
|
157 |
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"inserted_at": "2025-04-22T01:49:36.591631",
|
158 |
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"updated_at": "2025-04-22T01:49:36.591631"
|
159 |
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}
|
160 |
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],
|
161 |
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"metadata": [],
|
162 |
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"vectors": []
|
163 |
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}
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.argilla/version.json
ADDED
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{
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"argilla": "2.8.0"
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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: task_id
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-
dtype: string
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- name: task_data
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-
dtype: string
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18 |
-
- name: all_path_1
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-
dtype: string
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20 |
-
- name: all_path_2
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-
dtype: string
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22 |
-
- name: all_path_3
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-
dtype: string
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24 |
-
- name: all_path_4
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dtype: string
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26 |
-
- name: all_path_5
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-
dtype: string
|
28 |
-
- name: all_path_6
|
29 |
-
dtype: string
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30 |
-
- name: ranking_0.responses
|
31 |
-
list:
|
32 |
-
list:
|
33 |
-
- name: rank
|
34 |
-
dtype: int64
|
35 |
-
- name: value
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dtype: string
|
37 |
-
- name: ranking_0.responses.users
|
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-
sequence: string
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39 |
-
- name: ranking_0.responses.status
|
40 |
-
sequence: string
|
41 |
-
splits:
|
42 |
-
- name: train
|
43 |
-
num_bytes: 4814770
|
44 |
-
num_examples: 1571
|
45 |
-
download_size: 1500847
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46 |
-
dataset_size: 4814770
|
47 |
-
configs:
|
48 |
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- config_name: default
|
49 |
-
data_files:
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- split: train
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path: data/train-*
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52 |
---
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1 |
---
|
2 |
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tags:
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3 |
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- rlfh
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4 |
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- argilla
|
5 |
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- human-feedback
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---
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# Dataset Card for generate_path_process
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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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## Using this dataset with Argilla
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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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```python
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import argilla as rg
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ds = rg.Dataset.from_hub("ZhJiHo/generate_path_process", settings="auto")
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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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## Using this dataset with `datasets`
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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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```python
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from datasets import load_dataset
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ds = load_dataset("ZhJiHo/generate_path_process")
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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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## Dataset Structure
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This dataset repo contains:
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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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The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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### Fields
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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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| Field Name | Title | Type | Required |
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| ---------- | ----- | ---- | -------- |
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| task_id | task_id | text | False |
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| task_data | task_data | text | False |
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| all_path_1 | all_path_1 | text | False |
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| all_path_2 | all_path_2 | text | False |
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| all_path_3 | all_path_3 | text | False |
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| all_path_4 | all_path_4 | text | False |
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| all_path_5 | all_path_5 | text | False |
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| all_path_6 | all_path_6 | text | False |
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### Questions
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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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| Question Name | Title | Type | Required | Description | Values/Labels |
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| ------------- | ----- | ---- | -------- | ----------- | ------------- |
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| ranking_0 | ranking_0 | ranking | True | N/A | ['all_path_1', 'all_path_2', 'all_path_3', 'all_path_4', 'all_path_5', 'all_path_6'] |
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<!-- check length of metadata properties -->
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### Data Splits
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The dataset contains a single split, which is `train`.
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation guidelines
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[More Information Needed]
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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