Datasetpublic

laion/Sera-4.5A-Full-T1-v3

laion/Sera-4.5A-Full-T1-v3 Subset of allenai/Sera-4.5A-Full-T1. Size: 72,118 rows (full dataset: 72,118 rows). Format: Raw JSONL, OpenAI-native messages layout. Preserves the original messages field (as JSON string), instance_id, rollout_patch, func_name, func_path, problem_statement, target_patch, docker_image. Adds a source field pointing back to the parent dataset. Each assistant message carries a native tool_calls array (OpenAI tool-calling format) and a train: bool flag for… See the full description on the dataset page: https://huggingface.co/datasets/laion/Sera-4.5A-Full-T1-v3.

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face

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Dataset Card

laion/Sera-4.5A-Full-T1-v3

Subset of allenai/Sera-4.5A-Full-T1.

Size: 72,118 rows (full dataset: 72,118 rows).

Format: Raw JSONL, OpenAI-native messages layout. Preserves the original messages field (as JSON string), instance_id, rollout_patch, func_name, func_path, problem_statement, target_patch, docker_image. Adds a source field pointing back to the parent dataset.

Each assistant message carries a native tool_calls array (OpenAI tool-calling format) and a train: bool flag for per-message loss masking — these are not flattened into shareGPT. Intended for direct consumption by axolotl with type: chat_template, chat_template: chatml, message_field_training: train.

Sampling: deterministic random, seed=42, row-indexed into the full dataset.

Usage (axolotl)

yaml

datasets:
  - path: laion/Sera-4.5A-Full-T1-v3
    data_files:
      - sera-4.5a-full-t1_v3_72118.jsonl
    type: chat_template
    field_messages: messages
    ds_type: json
    message_field_training: train
chat_template: chatml