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tytodd/qwen3.5-2b-v2-instructions-smoke-10k

published by @tytodd

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
2.4K
Last 30 days
81
Likes
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Size
390.2 MB
Created on HF
2026-04-21
Age
6 months ago

Description

qwen3.5-2b-v2-instructions-smoke-10k

Repo: tytodd/qwen3.5-2b-v2-instructions-smoke-10k

Model: Qwen/Qwen3.5-2B

Config: /tmp/v2-instructions-smoke-10k.yaml

benchmark

train

val

ood

all

chatbot_arena_conversations

66.00%

71.00%

68.50%

hh_rlhf

47.00%

57.00%

52.00%

ultrafeedback

40.00%

31.00%

35.50%

projudgebench

88.00%

83.00%

85.50%

reward_bench_2

67.00%

72.00%

69.50%

aes2_essay_scoring

23.00%

25.00%

24.00%

halueval_qa

85.00%

79.00%

82.00%… See the full description on the dataset page: https://huggingface.co/datasets/tytodd/qwen3.5-2b-v2-instructions-smoke-10k.

Tags

size_categories:10K<n<100Kformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

dataset_info:

  • config_name: aes2_essay_scoring
    features:
    • name: input
      struct:
      • name: full_text
        dtype: string
    • name: prediction
      struct:
      • name: score
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 7674595
      num_examples: 100
    • name: val
      num_bytes: 8997845
      num_examples: 100
      download_size: 13953734
      dataset_size: 16672440
  • config_name: anli_r1
    features:
    • name: input
      struct:
      • name: hypothesis
        dtype: string
      • name: premise
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 2689102
      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 5631317
      dataset_size: 5682481
  • config_name: anli_r2
    features:
    • name: input
      struct:
      • name: hypothesis
        dtype: string
      • name: premise
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 6508605
      dataset_size: 7152506
  • config_name: anli_r3
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      • name: premise
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
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    • name: train
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      num_examples: 100
    • name: val
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  • config_name: arc_challenge
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    • name: input
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      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
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    • name: reasoning
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    • name: messages
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      • name: messages
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          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
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          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
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      download_size: 1819875
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  • config_name: argument_quality_ranking
    features:
    • name: input
      struct:
      • name: argument
        dtype: string
      • name: topic
        dtype: string
    • name: prediction
      struct:
      • name: quality_label
        dtype: string
    • name: reasoning
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    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
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      • name: outputs
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        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
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      num_examples: 100
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      dataset_size: 2382442
  • config_name: big_patent_innovation
    features:
    • name: input
      struct:
      • name: description
        dtype: string
    • name: prediction
      struct:
      • name: innovation_score
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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      • name: messages
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        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 8346234
      dataset_size: 9347959
  • config_name: boardgame_qa
    features:
    • name: input
      struct:
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: answer
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
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    • name: train
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    • name: val
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      download_size: 9164348
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  • config_name: chatbot_arena_conversations
    features:
    • name: input
      struct:
      • name: question
        dtype: string
      • name: response_A
        dtype: string
      • name: response_B
        dtype: string
    • name: prediction
      struct:
      • name: label
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    • name: reasoning
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    • name: messages
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      • name: messages
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          dtype: string
        • name: role
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      • name: outputs
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        • name: text
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    • name: correct
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    • name: train
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    • name: val
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      download_size: 8464087
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  • config_name: civil_comments
    features:
    • name: input
      struct:
      • name: comment
        dtype: string
    • name: prediction
      struct:
      • name: toxicity_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
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    • name: correct
      dtype: bool
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    • name: train
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    • name: val
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      num_examples: 100
      download_size: 4645727
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  • config_name: code_judge_bench
    features:
    • name: input
      struct:
      • name: code_A
        dtype: string
      • name: code_B
        dtype: string
      • name: problem
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
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      num_examples: 100
      download_size: 15035853
      dataset_size: 18976776
  • config_name: colbert_humor_detection
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: humor_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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    • name: val
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  • config_name: customer_support_tickets_en
    features:
    • name: input
      struct:
      • name: body
        dtype: string
      • name: subject
        dtype: string
    • name: prediction
      struct:
      • name: queue
        dtype: string
      • name: type
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
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        • name: role
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      • name: outputs
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        • name: text
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    • name: correct
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    • name: train
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    • name: val
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  • config_name: customer_support_tickets_gorkem
    features:
    • name: input
      struct:
      • name: ticket_text
        dtype: string
    • name: prediction
      struct:
      • name: ticket_subject
        dtype: string
      • name: ticket_type
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
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      splits:
    • name: train
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    • name: val
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  • config_name: dbpedia_easy
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
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        dtype: string
    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
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      splits:
    • name: train
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      num_examples: 100
    • name: val
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      download_size: 4967980
      dataset_size: 5003053
  • config_name: dbpedia_hard
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: l1_class
        dtype: string
      • name: l2_class
        dtype: string
      • name: l3_class
        dtype: string
    • name: reasoning
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    • name: correct
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    • name: train
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      download_size: 8658082
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  • config_name: dbpedia_medium
    features:
    • name: input
      struct:
      • name: text
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    • name: prediction
      struct:
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    • name: reasoning
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    • name: messages
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    • name: correct
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      splits:
    • name: train
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    • name: val
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      download_size: 7829364
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  • config_name: enron_email_quality
    features:
    • name: input
      struct:
      • name: body
        dtype: string
      • name: subject
        dtype: string
    • name: prediction
      struct:
      • name: quality_score
        dtype: string
    • name: reasoning
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    • name: messages
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    • name: correct
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      splits:
    • name: train
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    • name: val
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  • config_name: enron_email_type
    features:
    • name: input
      struct:
      • name: body
        dtype: string
      • name: subject
        dtype: string
    • name: prediction
      struct:
      • name: email_type
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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        list:
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    • name: correct
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    • name: train
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    • name: val
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      download_size: 12007693
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  • config_name: enron_reply_quality
    features:
    • name: input
      struct:
      • name: original_email
        dtype: string
      • name: reply
        dtype: string
    • name: prediction
      struct:
      • name: quality
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
        • name: content
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      • name: outputs
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        • name: text
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    • name: correct
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      splits:
    • name: train
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    • name: val
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  • config_name: go_emotions
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: labels
        list: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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      • name: outputs
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        • name: text
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    • name: correct
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      splits:
    • name: train
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    • name: val
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  • config_name: gpqa_diamond
    features:
    • name: input
      struct:
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
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    • name: reasoning
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    • name: messages
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: ood
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      num_examples: 100
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  • config_name: halueval_dialogue
    features:
    • name: input
      struct:
      • name: dialogue_history
        dtype: string
      • name: knowledge
        dtype: string
      • name: response
        dtype: string
    • name: prediction
      struct:
      • name: hallucination
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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          dtype: string
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      • name: outputs
        struct:
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          dtype: string
        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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    • name: val
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      download_size: 7162286
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  • config_name: halueval_qa
    features:
    • name: input
      struct:
      • name: answer
        dtype: string
      • name: knowledge
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: hallucination
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
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        • name: reasoning_content
          dtype: string
        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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    • name: val
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      download_size: 7172528
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  • config_name: halueval_summarization
    features:
    • name: input
      struct:
      • name: document
        dtype: string
      • name: summary
        dtype: string
    • name: prediction
      struct:
      • name: hallucination
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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      • name: outputs
        struct:
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        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 4560376
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  • config_name: hh_rlhf
    features:
    • name: input
      struct:
      • name: question
        dtype: string
      • name: response_A
        dtype: string
      • name: response_B
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
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      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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    • name: val
      num_bytes: 5025776
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      download_size: 8106272
      dataset_size: 9532875
  • config_name: judge_bench
    features:
    • name: input
      struct:
      • name: question
        dtype: string
      • name: response_A
        dtype: string
      • name: response_B
        dtype: string
    • name: prediction
      struct:
      • name: label
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    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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    • name: correct
      dtype: bool
      splits:
    • name: ood
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  • config_name: lex_glue_case_hold
    features:
    • name: input
      struct:
      • name: context
        dtype: string
      • name: option_a
        dtype: string
      • name: option_b
        dtype: string
      • name: option_c
        dtype: string
      • name: option_d
        dtype: string
      • name: option_e
        dtype: string
    • name: prediction
      struct:
      • name: selected_option
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 4515218
      num_examples: 100
    • name: val
      num_bytes: 5323856
      num_examples: 100
      download_size: 8779070
      dataset_size: 9839074
  • config_name: lex_glue_ledgar
    features:
    • name: input
      struct:
      • name: provision_text
        dtype: string
    • name: prediction
      struct:
      • name: provision_type
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 3486578
      num_examples: 100
    • name: val
      num_bytes: 3382567
      num_examples: 100
      download_size: 6839691
      dataset_size: 6869145
  • config_name: medical_abstracts
    features:
    • name: input
      struct:
      • name: medical_abstract
        dtype: string
    • name: prediction
      struct:
      • name: condition_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 3414493
      num_examples: 100
    • name: val
      num_bytes: 3400689
      num_examples: 100
      download_size: 6786876
      dataset_size: 6815182
  • config_name: mfrc
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: annotation
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 2710715
      num_examples: 100
    • name: val
      num_bytes: 2562696
      num_examples: 100
      download_size: 5224960
      dataset_size: 5273411
  • config_name: mmlu
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
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        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
      num_bytes: 4322825
      num_examples: 100
    • name: val
      num_bytes: 4010137
      num_examples: 100
      download_size: 8239519
      dataset_size: 8332962
  • config_name: mmlu_pro
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 3561156
      num_examples: 100
      download_size: 3500742
      dataset_size: 3561156
  • config_name: mt_bench_human_judgments
    features:
    • name: input
      struct:
      • name: question
        dtype: string
      • name: response_A
        dtype: string
      • name: response_B
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 3491982
      num_examples: 100
      download_size: 3426522
      dataset_size: 3491982
  • config_name: musr_murder_mysteries
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 12043261
      num_examples: 100
      download_size: 8312806
      dataset_size: 12043261
  • config_name: musr_object_placements
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 4069139
      num_examples: 100
      download_size: 4010437
      dataset_size: 4069139
  • config_name: musr_team_allocation
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
        dtype: string
    • name: reasoning
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    • name: messages
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          dtype: string
      • name: outputs
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          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 4698879
      num_examples: 100
      download_size: 4603591
      dataset_size: 4698879
  • config_name: or_bench_80k
    features:
    • name: input
      struct:
      • name: prompt
        dtype: string
    • name: prediction
      struct:
      • name: or_bench_category
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
          dtype: string
        • name: role
          dtype: string
      • name: outputs
        struct:
        • name: reasoning_content
          dtype: string
        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 7875773
      dataset_size: 7933878
  • config_name: or_bench_hard_1k
    features:
    • name: input
      struct:
      • name: prompt
        dtype: string
    • name: prediction
      struct:
      • name: or_bench_category
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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        • name: role
          dtype: string
      • name: outputs
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        • name: reasoning_content
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        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 8360776
      dataset_size: 9823372
  • config_name: or_bench_toxic
    features:
    • name: input
      struct:
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        dtype: string
    • name: prediction
      struct:
      • name: or_bench_category
        dtype: string
    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 2105975
      num_examples: 100
      download_size: 2056204
      dataset_size: 2105975
  • config_name: projudgebench
    features:
    • name: input
      struct:
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        dtype: string
      • name: question
        dtype: string
      • name: step_to_evaluate
        dtype: string
      • name: steps
        list: string
    • name: prediction
      struct:
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        dtype: bool
    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 10706018
      dataset_size: 10744223
  • config_name: reward_bench_2
    features:
    • name: input
      struct:
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      • name: response_A
        dtype: string
      • name: response_B
        dtype: string
    • name: prediction
      struct:
      • name: label
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    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
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      num_examples: 100
      download_size: 11856339
      dataset_size: 14369116
  • config_name: rod101_essay_scoring
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: score
        dtype: string
    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: ood
      num_bytes: 9716460
      num_examples: 100
      download_size: 6879387
      dataset_size: 9716460
  • config_name: sem_eval_2010_task_8
    features:
    • name: input
      struct:
      • name: sentence
        dtype: string
    • name: prediction
      struct:
      • name: relation_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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        list:
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
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      num_examples: 100
      download_size: 8898067
      dataset_size: 9475604
  • config_name: smollm_corpus
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: audience
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
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      num_examples: 100
      download_size: 8671905
      dataset_size: 9639302
  • config_name: snli
    features:
    • name: input
      struct:
      • name: hypothesis
        dtype: string
      • name: premise
        dtype: string
    • name: prediction
      struct:
      • name: label
        dtype: string
    • name: reasoning
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    • name: messages
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      • name: outputs
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
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      num_examples: 100
      download_size: 4877265
      dataset_size: 4933617
  • config_name: spartqa_mchoice
    features:
    • name: input
      struct:
      • name: choices
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: choice
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    • name: reasoning
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    • name: messages
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
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      num_examples: 100
      download_size: 12665503
      dataset_size: 12941645
  • config_name: toxigen_data
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: toxicity_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
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      • name: outputs
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        • name: text
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
      download_size: 4488084
      dataset_size: 4667375
  • config_name: tweet_eval_emotion
    features:
    • name: input
      struct:
      • name: tweet
        dtype: string
    • name: prediction
      struct:
      • name: emotion_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
        • name: content
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      • name: outputs
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    • name: correct
      dtype: bool
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    • name: train
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      num_examples: 100
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      num_examples: 100
      download_size: 4976727
      dataset_size: 4987352
  • config_name: tweet_eval_hate
    features:
    • name: input
      struct:
      • name: tweet
        dtype: string
    • name: prediction
      struct:
      • name: hate_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
      • name: messages
        list:
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      • name: outputs
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    • name: correct
      dtype: bool
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    • name: train
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      num_examples: 100
      download_size: 5158417
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  • config_name: tweet_eval_irony
    features:
    • name: input
      struct:
      • name: tweet
        dtype: string
    • name: prediction
      struct:
      • name: irony_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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        list:
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      • name: outputs
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    • name: correct
      dtype: bool
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      download_size: 5691652
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  • config_name: tweet_eval_offensive
    features:
    • name: input
      struct:
      • name: tweet
        dtype: string
    • name: prediction
      struct:
      • name: offensive_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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        list:
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    • name: correct
      dtype: bool
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      num_examples: 100
      download_size: 6583864
      dataset_size: 7525511
  • config_name: tweet_eval_sentiment
    features:
    • name: input
      struct:
      • name: tweet
        dtype: string
    • name: prediction
      struct:
      • name: sentiment_label
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
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        list:
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      • name: outputs
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    • name: correct
      dtype: bool
      splits:
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      num_examples: 100
      download_size: 5124686
      dataset_size: 5148091
  • config_name: ultrafeedback
    features:
    • name: input
      struct:
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        dtype: string
      • name: response
        dtype: string
    • name: prediction
      struct:
      • name: instruction_following
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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      • name: outputs
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    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
      download_size: 9559601
      dataset_size: 10518946
  • config_name: writingprompts_quality
    features:
    • name: input
      struct:
      • name: prompt
        dtype: string
      • name: story
        dtype: string
    • name: prediction
      struct:
      • name: quality_score
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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          dtype: string
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          dtype: string
      • name: outputs
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        • name: text
          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
      download_size: 11508374
      dataset_size: 14890783
  • config_name: yahoo_answers_quality
    features:
    • name: input
      struct:
      • name: answer
        dtype: string
      • name: question
        dtype: string
    • name: prediction
      struct:
      • name: rating
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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    • name: correct
      dtype: bool
      splits:
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      num_examples: 100
      download_size: 8760811
      dataset_size: 11086663
  • config_name: yelp
    features:
    • name: input
      struct:
      • name: text
        dtype: string
    • name: prediction
      struct:
      • name: rating
        dtype: string
    • name: reasoning
      dtype: string
    • name: messages
      struct:
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        list:
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        struct:
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          dtype: string
    • name: correct
      dtype: bool
      splits:
    • name: train
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      num_examples: 100
    • name: val
      num_bytes: 4603872
      num_examples: 100
      download_size: 7189598
      dataset_size: 8022112
      configs:
  • config_name: aes2_essay_scoring
    data_files:
    • split: train
      path: aes2_essay_scoring/train-*
    • split: val
      path: aes2_essay_scoring/val-*
  • config_name: anli_r1
    data_files:
    • split: train
      path: anli_r1/train-*
    • split: val
      path: anli_r1/val-*
  • config_name: anli_r2
    data_files:
    • split: train
      path: anli_r2/train-*
    • split: val
      path: anli_r2/val-*
  • config_name: anli_r3
    data_files:
    • split: train
      path: anli_r3/train-*
    • split: val
      path: anli_r3/val-*
  • config_name: arc_challenge
    data_files:
    • split: ood
      path: arc_challenge/ood-*
  • config_name: argument_quality_ranking
    data_files:
    • split: ood
      path: argument_quality_ranking/ood-*
  • config_name: big_patent_innovation
    data_files:
    • split: train
      path: big_patent_innovation/train-*
    • split: val
      path: big_patent_innovation/val-*
  • config_name: boardgame_qa
    data_files:
    • split: train
      path: boardgame_qa/train-*
    • split: val
      path: boardgame_qa/val-*
  • config_name: chatbot_arena_conversations
    data_files:
    • split: train
      path: chatbot_arena_conversations/train-*
    • split: val
      path: chatbot_arena_conversations/val-*
  • config_name: civil_comments
    data_files:
    • split: train
      path: civil_comments/train-*
    • split: val
      path: civil_comments/val-*
  • config_name: code_judge_bench
    data_files:
    • split: ood
      path: code_judge_bench/ood-*
  • config_name: colbert_humor_detection
    data_files:
    • split: train
      path: colbert_humor_detection/train-*
    • split: val
      path: colbert_humor_detection/val-*
  • config_name: customer_support_tickets_en
    data_files:
    • split: train
      path: customer_support_tickets_en/train-*
    • split: val
      path: customer_support_tickets_en/val-*
  • config_name: customer_support_tickets_gorkem
    data_files:
    • split: train
      path: customer_support_tickets_gorkem/train-*
    • split: val
      path: customer_support_tickets_gorkem/val-*
  • config_name: dbpedia_easy
    data_files:
    • split: train
      path: dbpedia_easy/train-*
    • split: val
      path: dbpedia_easy/val-*
  • config_name: dbpedia_hard
    data_files:
    • split: train
      path: dbpedia_hard/train-*
    • split: val
      path: dbpedia_hard/val-*
  • config_name: dbpedia_medium
    data_files:
    • split: train
      path: dbpedia_medium/train-*
    • split: val
      path: dbpedia_medium/val-*
  • config_name: enron_email_quality
    data_files:
    • split: train
      path: enron_email_quality/train-*
    • split: val
      path: enron_email_quality/val-*
  • config_name: enron_email_type
    data_files:
    • split: train
      path: enron_email_type/train-*
    • split: val
      path: enron_email_type/val-*
  • config_name: enron_reply_quality
    data_files:
    • split: train
      path: enron_reply_quality/train-*
    • split: val
      path: enron_reply_quality/val-*
  • config_name: go_emotions
    data_files:
    • split: train
      path: go_emotions/train-*
    • split: val
      path: go_emotions/val-*
  • config_name: gpqa_diamond
    data_files:
    • split: ood
      path: gpqa_diamond/ood-*
  • config_name: halueval_dialogue
    data_files:
    • split: train
      path: halueval_dialogue/train-*
    • split: val
      path: halueval_dialogue/val-*
  • config_name: halueval_qa
    data_files:
    • split: train
      path: halueval_qa/train-*
    • split: val
      path: halueval_qa/val-*
  • config_name: halueval_summarization
    data_files:
    • split: ood
      path: halueval_summarization/ood-*
  • config_name: hh_rlhf
    data_files:
    • split: train
      path: hh_rlhf/train-*
    • split: val
      path: hh_rlhf/val-*
  • config_name: judge_bench
    data_files:
    • split: ood
      path: judge_bench/ood-*
  • config_name: lex_glue_case_hold
    data_files:
    • split: train
      path: lex_glue_case_hold/train-*
    • split: val
      path: lex_glue_case_hold/val-*
  • config_name: lex_glue_ledgar
    data_files:
    • split: train
      path: lex_glue_ledgar/train-*
    • split: val
      path: lex_glue_ledgar/val-*
  • config_name: medical_abstracts
    data_files:
    • split: train
      path: medical_abstracts/train-*
    • split: val
      path: medical_abstracts/val-*
  • config_name: mfrc
    data_files:
    • split: train
      path: mfrc/train-*
    • split: val
      path: mfrc/val-*
  • config_name: mmlu
    data_files:
    • split: train
      path: mmlu/train-*
    • split: val
      path: mmlu/val-*
  • config_name: mmlu_pro
    data_files:
    • split: ood
      path: mmlu_pro/ood-*
  • config_name: mt_bench_human_judgments
    data_files:
    • split: ood
      path: mt_bench_human_judgments/ood-*
  • config_name: musr_murder_mysteries
    data_files:
    • split: ood
      path: musr_murder_mysteries/ood-*
  • config_name: musr_object_placements
    data_files:
    • split: ood
      path: musr_object_placements/ood-*
  • config_name: musr_team_allocation
    data_files:
    • split: ood
      path: musr_team_allocation/ood-*
  • config_name: or_bench_80k
    data_files:
    • split: train
      path: or_bench_80k/train-*
    • split: val
      path: or_bench_80k/val-*
  • config_name: or_bench_hard_1k
    data_files:
    • split: train
      path: or_bench_hard_1k/train-*
    • split: val
      path: or_bench_hard_1k/val-*
  • config_name: or_bench_toxic
    data_files:
    • split: ood
      path: or_bench_toxic/ood-*
  • config_name: projudgebench
    data_files:
    • split: train
      path: projudgebench/train-*
    • split: val
      path: projudgebench/val-*
  • config_name: reward_bench_2
    data_files:
    • split: train
      path: reward_bench_2/train-*
    • split: val
      path: reward_bench_2/val-*
  • config_name: rod101_essay_scoring
    data_files:
    • split: ood
      path: rod101_essay_scoring/ood-*
  • config_name: sem_eval_2010_task_8
    data_files:
    • split: train
      path: sem_eval_2010_task_8/train-*
    • split: val
      path: sem_eval_2010_task_8/val-*
  • config_name: smollm_corpus
    data_files:
    • split: train
      path: smollm_corpus/train-*
    • split: val
      path: smollm_corpus/val-*
  • config_name: snli
    data_files:
    • split: train
      path: snli/train-*
    • split: val
      path: snli/val-*
  • config_name: spartqa_mchoice
    data_files:
    • split: train
      path: spartqa_mchoice/train-*
    • split: val
      path: spartqa_mchoice/val-*
  • config_name: toxigen_data
    data_files:
    • split: train
      path: toxigen_data/train-*
    • split: val
      path: toxigen_data/val-*
  • config_name: tweet_eval_emotion
    data_files:
    • split: train
      path: tweet_eval_emotion/train-*
    • split: val
      path: tweet_eval_emotion/val-*
  • config_name: tweet_eval_hate
    data_files:
    • split: train
      path: tweet_eval_hate/train-*
    • split: val
      path: tweet_eval_hate/val-*
  • config_name: tweet_eval_irony
    data_files:
    • split: train
      path: tweet_eval_irony/train-*
    • split: val
      path: tweet_eval_irony/val-*
  • config_name: tweet_eval_offensive
    data_files:
    • split: train
      path: tweet_eval_offensive/train-*
    • split: val
      path: tweet_eval_offensive/val-*
  • config_name: tweet_eval_sentiment
    data_files:
    • split: train
      path: tweet_eval_sentiment/train-*
    • split: val
      path: tweet_eval_sentiment/val-*
  • config_name: ultrafeedback
    data_files:
    • split: train
      path: ultrafeedback/train-*
    • split: val
      path: ultrafeedback/val-*
  • config_name: writingprompts_quality
    data_files:
    • split: train
      path: writingprompts_quality/train-*
    • split: val
      path: writingprompts_quality/val-*
  • config_name: yahoo_answers_quality
    data_files:
    • split: train
      path: yahoo_answers_quality/train-*
    • split: val
      path: yahoo_answers_quality/val-*
  • config_name: yelp
    data_files:
    • split: train
      path: yelp/train-*
    • split: val
      path: yelp/val-*

qwen3.5-2b-v2-instructions-smoke-10k

  • Repo: tytodd/qwen3.5-2b-v2-instructions-smoke-10k
  • Model: Qwen/Qwen3.5-2B
  • Config: /tmp/v2-instructions-smoke-10k.yaml
benchmark train val ood all
chatbot_arena_conversations 66.00% 71.00% 68.50%
hh_rlhf 47.00% 57.00% 52.00%
ultrafeedback 40.00% 31.00% 35.50%
projudgebench 88.00% 83.00% 85.50%
reward_bench_2 67.00% 72.00% 69.50%
aes2_essay_scoring 23.00% 25.00% 24.00%
halueval_qa 85.00% 79.00% 82.00%
halueval_dialogue 65.00% 67.00% 66.00%
or_bench_80k 20.00% 31.00% 25.50%
or_bench_hard_1k 56.00% 55.00% 55.50%
toxigen_data 76.00% 70.00% 73.00%
civil_comments 92.00% 84.00% 88.00%
boardgame_qa 89.00% 90.00% 89.50%
go_emotions 1.00% 0.00% 0.50%
mfrc 49.00% 62.00% 55.50%
tweet_eval_emotion 79.00% 81.00% 80.00%
yelp 63.00% 44.00% 53.50%
tweet_eval_sentiment 67.00% 71.00% 69.00%
mmlu 42.00% 71.00% 56.50%
spartqa_mchoice 82.00% 71.00% 76.50%
anli_r1 85.00% 77.00% 81.00%
anli_r2 91.00% 69.00% 80.00%
anli_r3 53.00% 65.00% 59.00%
snli 82.00% 73.00% 77.50%
sem_eval_2010_task_8 63.00% 55.00% 59.00%
smollm_corpus 52.00% 42.00% 47.00%
medical_abstracts 56.00% 70.00% 63.00%
lex_glue_case_hold 76.00% 66.00% 71.00%
lex_glue_ledgar 74.00% 65.00% 69.50%
dbpedia_easy 94.00% 93.00% 93.50%
dbpedia_medium 51.00% 51.00% 51.00%
dbpedia_hard 41.00% 40.00% 40.50%
colbert_humor_detection 72.00% 72.00% 72.00%
tweet_eval_irony 55.00% 57.00% 56.00%
tweet_eval_hate 76.00% 63.00% 69.50%
tweet_eval_offensive 77.00% 73.00% 75.00%
customer_support_tickets_en 51.00% 31.00% 41.00%
customer_support_tickets_gorkem 2.00% 1.00% 1.50%
yahoo_answers_quality 22.00% 26.00% 24.00%
big_patent_innovation 53.00% 56.00% 54.50%
writingprompts_quality 33.00% 47.00% 40.00%
enron_email_type 72.00% 68.00% 70.00%
enron_email_quality 17.00% 11.00% 14.00%
enron_reply_quality 63.00% 58.00% 60.50%
argument_quality_ranking 31.00% 31.00%
rod101_essay_scoring 23.00% 23.00%
or_bench_toxic 26.00% 26.00%
judge_bench 58.00% 58.00%
musr_team_allocation 69.00% 69.00%
musr_object_placements 51.00% 51.00%
musr_murder_mysteries 53.00% 53.00%
halueval_summarization 66.00% 66.00%
code_judge_bench 60.00% 60.00%
mmlu_pro 64.00% 64.00%
gpqa_diamond 53.00% 53.00%
arc_challenge 88.00% 88.00%
mt_bench_human_judgments 67.00% 67.00%
all 59.27% 57.82% 54.54% 58.03%

README history 20 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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The Russian slop-removal framing and non-English healing corpora.

Repository

DIR aes2_essay_scoring 2 files DIR anli_r1 2 files DIR anli_r2 2 files DIR anli_r3 2 files DIR arc_challenge DIR argument_quality_ranking DIR big_patent_innovation 2 files DIR boardgame_qa 2 files DIR chatbot_arena_conversations 2 files DIR civil_comments 2 files DIR code_judge_bench DIR colbert_humor_detection 2 files DIR customer_support_tickets_en 2 files DIR customer_support_tickets_gorkem 2 files DIR dbpedia_easy 2 files DIR dbpedia_hard 2 files DIR dbpedia_medium 2 files DIR enron_email_quality 2 files DIR enron_email_type 2 files DIR enron_reply_quality 2 files DIR go_emotions 2 files DIR gpqa_diamond DIR halueval_dialogue 2 files DIR halueval_qa 2 files DIR halueval_summarization DIR hh_rlhf 2 files DIR judge_bench DIR lex_glue_case_hold 2 files DIR lex_glue_ledgar 2 files DIR medical_abstracts 2 files DIR mfrc 2 files DIR mmlu 2 files DIR mmlu_pro DIR mt_bench_human_judgments DIR musr_murder_mysteries DIR musr_object_placements DIR musr_team_allocation DIR or_bench_80k 2 files DIR or_bench_hard_1k 2 files DIR or_bench_toxic DIR projudgebench 2 files DIR reward_bench_2 2 files DIR rod101_essay_scoring DIR sem_eval_2010_task_8 2 files DIR smollm_corpus 2 files DIR snli 2 files DIR spartqa_mchoice 2 files DIR toxigen_data 2 files DIR tweet_eval_emotion 2 files DIR tweet_eval_hate 2 files DIR tweet_eval_irony 2 files DIR tweet_eval_offensive 2 files DIR tweet_eval_sentiment 2 files DIR ultrafeedback 2 files DIR writingprompts_quality 2 files DIR yahoo_answers_quality 2 files DIR yelp 2 files FILE .gitattributes FILE README.md

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Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("tytodd/qwen3.5-2b-v2-instructions-smoke-10k")
Raw snapshot (Python) 
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snapshot_download(repo_id="tytodd/qwen3.5-2b-v2-instructions-smoke-10k", repo_type="dataset")
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git clone https://huggingface.co/datasets/tytodd/qwen3.5-2b-v2-instructions-smoke-10k
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