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metadata
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: train_minus_64
        path: data/train_minus_64-*
      - split: valid_64
        path: data/valid_64-*
dataset_info:
  features:
    - name: dialogue_id
      dtype: string
    - name: turn_id
      dtype: int8
    - name: user_utterances
      sequence: string
    - name: system_utterances
      sequence: string
    - name: system_response
      dtype: string
    - name: system_response_acts
      sequence: string
    - name: turn_slot_values
      struct:
        - name: hotel
          struct:
            - name: price range
              dtype: string
            - name: type
              dtype: string
            - name: parking
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book stay
              dtype: string
            - name: stars
              dtype: string
            - name: internet
              dtype: string
            - name: name
              dtype: string
            - name: area
              dtype: string
        - name: train
          struct:
            - name: arrive by
              dtype: string
            - name: departure
              dtype: string
            - name: day
              dtype: string
            - name: book people
              dtype: string
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
        - name: attraction
          struct:
            - name: area
              dtype: string
            - name: name
              dtype: string
            - name: type
              dtype: string
        - name: restaurant
          struct:
            - name: price range
              dtype: string
            - name: area
              dtype: string
            - name: food
              dtype: string
            - name: name
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book time
              dtype: string
        - name: taxi
          struct:
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
            - name: departure
              dtype: string
            - name: arrive by
              dtype: string
    - name: slot_values
      struct:
        - name: hotel
          struct:
            - name: price range
              dtype: string
            - name: type
              dtype: string
            - name: parking
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book stay
              dtype: string
            - name: stars
              dtype: string
            - name: internet
              dtype: string
            - name: name
              dtype: string
            - name: area
              dtype: string
        - name: train
          struct:
            - name: arrive by
              dtype: string
            - name: departure
              dtype: string
            - name: day
              dtype: string
            - name: book people
              dtype: string
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
        - name: attraction
          struct:
            - name: area
              dtype: string
            - name: name
              dtype: string
            - name: type
              dtype: string
        - name: restaurant
          struct:
            - name: price range
              dtype: string
            - name: area
              dtype: string
            - name: food
              dtype: string
            - name: name
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book time
              dtype: string
        - name: taxi
          struct:
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
            - name: departure
              dtype: string
            - name: arrive by
              dtype: string
    - name: last_slot_values
      struct:
        - name: hotel
          struct:
            - name: price range
              dtype: string
            - name: type
              dtype: string
            - name: parking
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book stay
              dtype: string
            - name: stars
              dtype: string
            - name: internet
              dtype: string
            - name: name
              dtype: string
            - name: area
              dtype: string
        - name: train
          struct:
            - name: arrive by
              dtype: string
            - name: departure
              dtype: string
            - name: day
              dtype: string
            - name: book people
              dtype: string
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
        - name: attraction
          struct:
            - name: area
              dtype: string
            - name: name
              dtype: string
            - name: type
              dtype: string
        - name: restaurant
          struct:
            - name: price range
              dtype: string
            - name: area
              dtype: string
            - name: food
              dtype: string
            - name: name
              dtype: string
            - name: book day
              dtype: string
            - name: book people
              dtype: string
            - name: book time
              dtype: string
        - name: taxi
          struct:
            - name: leave at
              dtype: string
            - name: destination
              dtype: string
            - name: departure
              dtype: string
            - name: arrive by
              dtype: string
    - name: domains
      sequence: string
    - name: last_system_response_acts
      sequence: string
  splits:
    - name: train
      num_bytes: 76929212
      num_examples: 56344
    - name: train_minus_64
      num_bytes: 76327093.18536136
      num_examples: 55903
    - name: valid_64
      num_bytes: 602118.8146386483
      num_examples: 441
  download_size: 25959448
  dataset_size: 153858424

Self-Labelled MultiWOZ Dataset

Manifest Group: mar_18 Number of Dialogues: 8324 Number of Turns: 56344

This dataset was created via a self-labelling process composed of multiple runs, in which un-labelled dialogue data (utterances from the user and system only) is labelled with pseudo-annotations for the belief state, system acts, and de-lexicalized system response.

Here is the list of W&B runs contributing to this dataset. Each run is a self-labelling run, and should be well defined as partitioning a larger dataset in to chunks labelled with the same process. Consult each run to validate the git revision and configuration parameters.

Here is the configuration of the 'first' job in this manifest group, if found.

{
    "dst": {
        "model": {
            "examples": null,
            "batch_size": 16,
            "model_type": "starcoder",
            "torch_dtype": "bfloat16",
            "adapter_path": null,
            "do_not_cache": false,
            "load_in_8bit": false,
            "stop_sequences": [
                "\n\n",
                "#",
                "]"
            ],
            "mock_from_run_id": null,
            "model_name_or_path": "bigcode/starcoder",
            "attn_implementation": "flash_attention_2",
            "use_past_key_value_cache": true
        },
        "retriever": {
            "type": "mpnet",
            "k_examples": 8,
            "from_artifact": false,
            "use_retriever": true,
            "example_warmup": 0,
            "use_normalizer": true,
            "minimum_distinct": 4,
            "model_name_or_path": "sentence-transformers/all-mpnet-base-v2",
            "index_set_split_name": null,
            "index_set_path_or_name": null,
            "retrieval_input_format": "context_system_user"
        },
        "module_type": "dst",
        "generation_cfg": {
            "prompt_mode": "causal_dst",
            "sampling_args": {
                "n": 8,
                "top_p": 0.7,
                "best_of": 8
            },
            "generation_mode": "noisy_channel_joint",
            "noisy_channel_prompt_mode": "noisy_channel_dst"
        },
        "add_predictions_to_index": true
    },
    "data": {
        "eval_set_split_name": "train_1550_1600",
        "train_set_split_name": null,
        "eval_set_path_or_name": "Brendan/multiwoz_turns_v22_partitioned",
        "train_set_path_or_name": null
    },
    "wandb": {
        "run_name": "kwargs-full_self_label-starcoder-mar_18-dependents-train_1550_1600",
        "run_tags": [
            "Starcoder Self Label - March 18"
        ],
        "run_group": "kwargs-full_self_label-starcoder-mar_18-dependents",
        "run_notes": null
    },
    "output": {
        "output_dir": "/data/users/bking2/tod_zero/outputs/runs/kwargs/full_self_label/starcoder/mar_18/dependents/0i9bvfc5",
        "on_end_copy_to_dir": null
    },
    "act_tag": {
        "model": {
            "examples": null,
            "batch_size": 16,
            "model_type": "starcoder",
            "torch_dtype": "bfloat16",
            "adapter_path": null,
            "do_not_cache": false,
            "load_in_8bit": false,
            "stop_sequences": [
                "\n\n",
                "#",
                "],"
            ],
            "mock_from_run_id": null,
            "model_name_or_path": "bigcode/starcoder",
            "attn_implementation": "flash_attention_2",
            "use_past_key_value_cache": true
        },
        "retriever": {
            "type": "mpnet",
            "k_examples": 6,
            "from_artifact": false,
            "use_retriever": true,
            "example_warmup": 0,
            "use_normalizer": false,
            "minimum_distinct": 4,
            "model_name_or_path": "sentence-transformers/all-mpnet-base-v2",
            "index_set_split_name": null,
            "index_set_path_or_name": null,
            "retrieval_input_format": "user_response"
        },
        "module_type": "act_tag",
        "generation_cfg": {
            "prompt_mode": "non_causal_sys_act_resp_only",
            "sampling_args": {
                "n": 8,
                "top_p": 0.8,
                "best_of": 8
            },
            "generation_mode": "noisy_channel_cond",
            "noisy_channel_prompt_mode": "non_causal_sys_act_resp_only_noisy_channel"
        },
        "add_predictions_to_index": true
    },
    "profile": false,
    "manifest": {
        "type": "dynamo",
        "group_id": "mar_18",
        "manifest_path": "TodZeroExperimentLogsManifestTable",
        "write_to_manifest": true,
        "group_id_must_exist": true,
        "manifest_must_exist": true,
        "seed_retrievers_from_manifest": true
    },
    "data_warmup": 0,
    "schema_config": {
        "name": "multiwoz",
        "ontology": "tod_zero.ontology.multiwoz.ontology.MultiWOZOntology.create_ontology",
        "ontology_file": "db/multiwoz/2.4/ontology.json",
        "schema_loader": "tod_zero.schemas.reader.read_multiwoz_schema"
    },
    "prompt_generator": "kwargs",
    "resume_from_logs": null,
    "data_num_partitions": 4,
    "publish_labelled_dataset_as": {
        "split_name": "train",
        "push_to_hub": false,
        "path_or_name": "Brendan/starcoder_feb_12_job_0_multiwoz_turns_v22"
    },
    "create_self_labelled_dataset": false
}

The dataset was created from the following manifest entries:

[
    {
        "run_id": "0i9bvfc5",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1550_1600"
    },
    {
        "run_id": "135s25yy",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5600_5650"
    },
    {
        "run_id": "137u2woa",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2900_2950"
    },
    {
        "run_id": "169d45nv",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6100_6150"
    },
    {
        "run_id": "1ivbqbkk",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1000_1050"
    },
    {
        "run_id": "2ve48tlz",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6750_6800"
    },
    {
        "run_id": "2xlv8mdx",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7950_8000"
    },
    {
        "run_id": "2y230i0u",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1100_1150"
    },
    {
        "run_id": "2zix7ufu",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7400_7450"
    },
    {
        "run_id": "372be96t",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2000_2050"
    },
    {
        "run_id": "3in1zz6h",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4850_4900"
    },
    {
        "run_id": "3vhsh54v",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4350_4400"
    },
    {
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        "split": "train_7250_7300"
    },
    {
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        "split": "train_3850_3900"
    },
    {
        "run_id": "4241pcl4",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7550_7600"
    },
    {
        "run_id": "43p84mzi",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5650_5700"
    },
    {
        "run_id": "45d5jnru",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3700_3750"
    },
    {
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        "split": "train_3950_4000"
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        "split": "train_400_450"
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    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1150_1200"
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        "split": "train_1850_1900"
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        "split": "train_6500_6550"
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    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
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    {
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