mdd

Referensi:

tugas1_qa

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:mdd/task1_qa')
  • Keterangan :
The Movie Dialog dataset (MDD) is designed to measure how well
models can perform at goal and non-goal orientated dialog
centered around the topic of movies (question answering,
recommendation and discussion).
  • Lisensi : Lisensi Creative Commons Attribution 3.0
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 9952
'train' 96185
'validation' 9968
  • Fitur : 
{
    "dialogue_turns": {
        "feature": {
            "speaker": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

tugas2_recs

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:mdd/task2_recs')
  • Keterangan :
The Movie Dialog dataset (MDD) is designed to measure how well
models can perform at goal and non-goal orientated dialog
centered around the topic of movies (question answering,
recommendation and discussion).
  • Lisensi : Lisensi Creative Commons Attribution 3.0
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 10.000
'train' 1000000
'validation' 10.000
  • Fitur : 
{
    "dialogue_turns": {
        "feature": {
            "speaker": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

tugas3_qarecs

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:mdd/task3_qarecs')
  • Keterangan :
The Movie Dialog dataset (MDD) is designed to measure how well
models can perform at goal and non-goal orientated dialog
centered around the topic of movies (question answering,
recommendation and discussion).
  • Lisensi : Lisensi Creative Commons Attribution 3.0
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'test' 4915
'train' 952125
'validation' 5052
  • Fitur : 
{
    "dialogue_turns": {
        "feature": {
            "speaker": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

tugas4_reddit

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:mdd/task4_reddit')
  • Keterangan :
The Movie Dialog dataset (MDD) is designed to measure how well
models can perform at goal and non-goal orientated dialog
centered around the topic of movies (question answering,
recommendation and discussion).
  • Lisensi : Lisensi Creative Commons Attribution 3.0
  • Versi : 1.1.0
  • Perpecahan :
Membelah Contoh
'cand_test' 10.000
'cand_valid' 10.000
'test' 10.000
'train' 945198
'validation' 10.000
  • Fitur :
{
    "dialogue_turns": {
        "feature": {
            "speaker": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}