datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-hop-qa-function-calling-format-V1.0This dataset is converted from khaimaitien/qa-expert-multi-hop-qa-V1.0 to OpenAI function calling format.
Each data point is a list of messages with role=user, assistant or function:
message that role=user, content is the question
message that role=assistant, content is not None, function_call is None: --> assistant responds with text only
message that role=assistant and function_call is not None --> assistant asks to execute a function call
function_call is of the form: {"name": "retrieve"… See the full description on the dataset page: https://huggingface.co/datasets/khaimaitien/multi-hop-qa-function-calling-format-V1.0.othello-llama3-multi-format
Othello (synthetic) (Llama-3 multi-format, input_output)
Continued-pre-training version of cfierro/othello-synthetic, formatted for Axolotl's template-free input_output loss masking with Llama-3 BOS/EOS. Each game is written in one of several randomly-chosen move-sequence formats so the model is robust to how games are notated.
Formats
Every row shares the same masked prefix <|begin_of_text|>Game of bjk\n\n; only the formatting of the move sequence (the trained… See the full description on the dataset page: https://huggingface.co/datasets/cfierro/othello-llama3-multi-format.othello-snake-qwen25-multi-format
Othello-Snake (Qwen2.5 multi-format, input_output)
Continued-pre-training version of cfierro/snake-othello, formatted for Axolotl's template-free input_output loss masking with Qwen2.5 EOS (no BOS). Each game is written in one of several randomly-chosen move-sequence formats so the model is robust to how games are notated.
Formats
Every row shares the same masked prefix Game of bjk\n\n; only the formatting of the move sequence (the trained body) changes. The… See the full description on the dataset page: https://huggingface.co/datasets/cfierro/othello-snake-qwen25-multi-format.othello-snake-qwen3-multi-format
Othello-Snake (Qwen3 multi-format, input_output)
Continued-pre-training version of cfierro/snake-othello, formatted for Axolotl's template-free input_output loss masking with Qwen3 EOS (no BOS). Each game is written in one of several randomly-chosen move-sequence formats so the model is robust to how games are notated.
Formats
Every row shares the same masked prefix Game of bjk\n\n; only the formatting of the move sequence (the trained body) changes. The default… See the full description on the dataset page: https://huggingface.co/datasets/cfierro/othello-snake-qwen3-multi-format.multi-turn-gpt-oss-format-datasetothello-snake-llama3-multi-format
Othello-Snake (Llama-3 multi-format, input_output)
Continued-pre-training version of cfierro/snake-othello, formatted for Axolotl's template-free input_output loss masking with Llama-3 BOS/EOS. Each game is written in one of several randomly-chosen move-sequence formats so the model is robust to how games are notated.
Formats
Every row shares the same masked prefix <|begin_of_text|>Game of bjk\n\n; only the formatting of the move sequence (the trained body)… See the full description on the dataset page: https://huggingface.co/datasets/cfierro/othello-snake-llama3-multi-format.formatted_multi_nli
Dataset Card for "formatte_multi_nli"
More Information needed
multi_nli_setfit_formattedsampled-reason-embed-data-tevatron-format-multi-posmulti_speaker_dataset_VCTK_formatsampled_reason_embed_data_new_10k_tevatron_format_multi_posSFT-Paite-Multi_Messaging-Format
SFT-Paite-Multi-Messaging-Format
This dataset is a specialized collection of Paite language data designed for high-precision Supervised Fine-Tuning (SFT). It focuses exclusively on the Paite language, combining authentic conversational data with translated logical instruction sets to develop a model that possesses both native-level linguistic fluency and technical reasoning capabilities.
Dataset Composition
The dataset is structured to provide a balance between natural… See the full description on the dataset page: https://huggingface.co/datasets/sensix-zo/SFT-Paite-Multi_Messaging-Format.