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README.md
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- rlfh
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- argilla
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- human-feedback
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dataset_info:
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features:
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id: field
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list:
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- name: user_id
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id: question
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id: suggestion
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- name: status
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dtype: string
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id: question
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- name: label-suggestion
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dtype: string
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id: suggestion
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struct:
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dtype: string
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id: suggestion-metadata
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- name: score
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dtype: float32
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id: suggestion-metadata
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- name: agent
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dtype: string
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id: suggestion-metadata
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- name: external_id
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dtype: string
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id: external_id
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- name: metadata
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dtype: string
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id: metadata
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- name: vectors
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struct:
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- name: sentence_embedding
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sequence: float32
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id: vectors
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splits:
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- name: train
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num_bytes: 1834637
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num_examples: 1000
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download_size: 2334600
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dataset_size: 1834637
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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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# Dataset Card for end2end_textclassification_with_vectors
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@@ -166,390 +114,390 @@ An example of a dataset instance in Argilla looks as follows:
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"suggestions": [],
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"vectors": {
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"sentence_embedding": [
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}
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@@ -571,390 +519,390 @@ While the same record in HuggingFace `datasets` looks as follows:
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"text": "Wall St. Bears Claw Back Into the Black (Reuters) Reuters - Short-sellers, Wall Street\u0027s dwindling\\band of ultra-cynics, are seeing green again.",
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"vectors": {
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]
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| 959 |
}
|
| 960 |
}
|
|
|
|
| 4 |
- rlfh
|
| 5 |
- argilla
|
| 6 |
- human-feedback
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|
| 7 |
---
|
| 8 |
|
| 9 |
# Dataset Card for end2end_textclassification_with_vectors
|
|
|
|
| 114 |
"suggestions": [],
|
| 115 |
"vectors": {
|
| 116 |
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"text": "Wall St. Bears Claw Back Into the Black (Reuters) Reuters - Short-sellers, Wall Street\u0027s dwindling\\band of ultra-cynics, are seeing green again.",
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-0.35722512006759644,
|
| 903 |
+
-0.7601121068000793,
|
| 904 |
+
-0.45991143584251404,
|
| 905 |
+
0.3345334231853485
|
| 906 |
]
|
| 907 |
}
|
| 908 |
}
|