lirang04 commited on
Commit
639695c
·
1 Parent(s): 328eafa

Rename multi-turn split to multi_turn

Browse files
README.md CHANGED
@@ -18,7 +18,7 @@ dataset_info:
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  - name: multimodal
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  num_bytes: 72393
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  num_examples: 101
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- - name: multi-turn
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  num_bytes: 50000
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  num_examples: 38
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  download_size: 155773
@@ -30,8 +30,8 @@ configs:
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  path: data/general-*
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  - split: multimodal
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  path: data/multimodal-*
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- - split: multi-turn
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- path: data/multi-turn-*
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  language:
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  - en
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  - zh
@@ -73,7 +73,7 @@ size_categories:
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  |---|---:|---|
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  | `general` | 161 | Core agent tasks across 24 categories (communication, finance, ops, productivity, etc.) |
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  | `multimodal` | 101 | Multimodal agentic tasks requiring perception and creation (webpage generation, video QA, document extraction, etc.) |
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- | `multi-turn` | 38 | Multi-turn conversational tasks where the agent interacts with a simulated user persona to clarify needs and provide advice |
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  ### Fields
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@@ -96,7 +96,7 @@ dataset = load_dataset("claw-eval/Claw-Eval")
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  # Load a specific split
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  general = load_dataset("claw-eval/Claw-Eval", split="general")
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  multimodal = load_dataset("claw-eval/Claw-Eval", split="multimodal")
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- multi_turn = load_dataset("claw-eval/Claw-Eval", split="multi-turn")
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  # Inspect a sample
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  print(general[0])
 
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  - name: multimodal
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  num_bytes: 72393
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  num_examples: 101
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+ - name: multi_turn
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  num_bytes: 50000
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  num_examples: 38
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  download_size: 155773
 
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  path: data/general-*
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  - split: multimodal
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  path: data/multimodal-*
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+ - split: multi_turn
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+ path: data/multi_turn-*
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  language:
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  - en
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  - zh
 
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  |---|---:|---|
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  | `general` | 161 | Core agent tasks across 24 categories (communication, finance, ops, productivity, etc.) |
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  | `multimodal` | 101 | Multimodal agentic tasks requiring perception and creation (webpage generation, video QA, document extraction, etc.) |
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+ | `multi_turn` | 38 | Multi-turn conversational tasks where the agent interacts with a simulated user persona to clarify needs and provide advice |
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  ### Fields
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  # Load a specific split
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  general = load_dataset("claw-eval/Claw-Eval", split="general")
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  multimodal = load_dataset("claw-eval/Claw-Eval", split="multimodal")
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+ multi_turn = load_dataset("claw-eval/Claw-Eval", split="multi_turn")
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  # Inspect a sample
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  print(general[0])
data/{multi-turn-00000-of-00001.parquet → multi_turn-00000-of-00001.parquet} RENAMED
File without changes