size_categories:100K<n<1M format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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: 72773110
    num_examples: 52897
  - name: train_minus_64
    num_bytes: 72209052.01750572
    num_examples: 52487
  - name: valid_64
    num_bytes: 564057.9824942814
    num_examples: 410
  download_size: 24663915
  dataset_size: 145546220.0
---
# Self-Labelled MultiWOZ Dataset

Manifest Group: `initial_labelling`
Number of Dialogues: `7800`
Number of Turns: `52897`

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.

- [05ax9u2g](https://wandb.ai/kingb12/nc_latent_tod/runs/05ax9u2g) (`train_6250_6300`) 
- [09hl3loa](https://wandb.ai/kingb12/nc_latent_tod/runs/09hl3loa) (`train_3950_4000`) 
- [0kecaq6t](https://wandb.ai/kingb12/nc_latent_tod/runs/0kecaq6t) (`train_3850_3900`) 
- [0qbsu4i3](https://wandb.ai/kingb12/nc_latent_tod/runs/0qbsu4i3) (`train_7650_7700`) 
- [0v3hdgi5](https://wandb.ai/kingb12/nc_latent_tod/runs/0v3hdgi5) (`train_5900_5950`) 
- [12axcfyu](https://wandb.ai/kingb12/nc_latent_tod/runs/12axcfyu) (`train_4350_4400`) 
- [12ssp17h](https://wandb.ai/kingb12/nc_latent_tod/runs/12ssp17h) (`train_1350_1400`) 
- [1fb7fyqs](https://wandb.ai/kingb12/nc_latent_tod/runs/1fb7fyqs) (`train_7750_7800`) 
- [1mb84efl](https://wandb.ai/kingb12/nc_latent_tod/runs/1mb84efl) (`train_0_50`) 
- [1zp6f4q7](https://wandb.ai/kingb12/nc_latent_tod/runs/1zp6f4q7) (`train_5600_5650`) 
- [2113knwd](https://wandb.ai/kingb12/nc_latent_tod/runs/2113knwd) (`train_6650_6700`) 
- [27m4igb8](https://wandb.ai/kingb12/nc_latent_tod/runs/27m4igb8) (`train_1500_1550`) 
- [2hqc2ccx](https://wandb.ai/kingb12/nc_latent_tod/runs/2hqc2ccx) (`train_2700_2750`) 
- [2kmoowvd](https://wandb.ai/kingb12/nc_latent_tod/runs/2kmoowvd) (`train_2800_2850`) 
- [2t96tfdc](https://wandb.ai/kingb12/nc_latent_tod/runs/2t96tfdc) (`train_700_750`) 
- [30gv9y20](https://wandb.ai/kingb12/nc_latent_tod/runs/30gv9y20) (`train_5050_5100`) 
- [35se8ckl](https://wandb.ai/kingb12/nc_latent_tod/runs/35se8ckl) (`train_2650_2700`) 
- [3c2ue5wt](https://wandb.ai/kingb12/nc_latent_tod/runs/3c2ue5wt) (`train_3800_3850`) 
- [3irqby3i](https://wandb.ai/kingb12/nc_latent_tod/runs/3irqby3i) (`train_600_650`) 
- [3yfkieas](https://wandb.ai/kingb12/nc_latent_tod/runs/3yfkieas) (`train_4750_4800`) 
- [4gqpc118](https://wandb.ai/kingb12/nc_latent_tod/runs/4gqpc118) (`train_1600_1650`) 
- [510n7it9](https://wandb.ai/kingb12/nc_latent_tod/runs/510n7it9) (`train_7700_7750`) 
- [5b1ivi7o](https://wandb.ai/kingb12/nc_latent_tod/runs/5b1ivi7o) (`train_6100_6150`) 
- [6dw0xkur](https://wandb.ai/kingb12/nc_latent_tod/runs/6dw0xkur) (`train_4800_4850`) 
- [6ia6nh1u](https://wandb.ai/kingb12/nc_latent_tod/runs/6ia6nh1u) (`train_100_150`) 
- [6q213bw0](https://wandb.ai/kingb12/nc_latent_tod/runs/6q213bw0) (`train_6000_6050`) 
- [6s93otf7](https://wandb.ai/kingb12/nc_latent_tod/runs/6s93otf7) (`train_3300_3350`) 
- [6t2bsme5](https://wandb.ai/kingb12/nc_latent_tod/runs/6t2bsme5) (`train_7500_7550`) 
- [6tt9p98s](https://wandb.ai/kingb12/nc_latent_tod/runs/6tt9p98s) (`train_7250_7300`) 
- [71o9dxlb](https://wandb.ai/kingb12/nc_latent_tod/runs/71o9dxlb) (`train_3550_3600`) 
- [73e0t6ks](https://wandb.ai/kingb12/nc_latent_tod/runs/73e0t6ks) (`train_200_250`) 
- [766shhyn](https://wandb.ai/kingb12/nc_latent_tod/runs/766shhyn) (`train_2900_2950`) 
- [79uopya0](https://wandb.ai/kingb12/nc_latent_tod/runs/79uopya0) (`train_5750_5800`) 
- [7kcxj5z1](https://wandb.ai/kingb12/nc_latent_tod/runs/7kcxj5z1) (`train_1150_1200`) 
- [7rit29k8](https://wandb.ai/kingb12/nc_latent_tod/runs/7rit29k8) (`train_3600_3650`) 
- [7vdg53ea](https://wandb.ai/kingb12/nc_latent_tod/runs/7vdg53ea) (`train_4150_4200`) 
- [82bktt97](https://wandb.ai/kingb12/nc_latent_tod/runs/82bktt97) (`train_6400_6450`) 
- [88lg4ioh](https://wandb.ai/kingb12/nc_latent_tod/runs/88lg4ioh) (`train_5000_5050`) 
- [8gbv4ctw](https://wandb.ai/kingb12/nc_latent_tod/runs/8gbv4ctw) (`train_2000_2050`) 
- [8i63k04d](https://wandb.ai/kingb12/nc_latent_tod/runs/8i63k04d) (`train_7150_7200`) 
- [8k5ps5h1](https://wandb.ai/kingb12/nc_latent_tod/runs/8k5ps5h1) (`train_5950_6000`) 
- [967slhrh](https://wandb.ai/kingb12/nc_latent_tod/runs/967slhrh) (`train_1950_2000`) 
- [9ox3a8xc](https://wandb.ai/kingb12/nc_latent_tod/runs/9ox3a8xc) (`train_3150_3200`) 
- [9p2zndog](https://wandb.ai/kingb12/nc_latent_tod/runs/9p2zndog) (`train_5350_5400`) 
- [9vf67uo0](https://wandb.ai/kingb12/nc_latent_tod/runs/9vf67uo0) (`train_3750_3800`) 
- [a59rvprt](https://wandb.ai/kingb12/nc_latent_tod/runs/a59rvprt) (`train_6450_6500`) 
- [a9v5gl0i](https://wandb.ai/kingb12/nc_latent_tod/runs/a9v5gl0i) (`train_1250_1300`) 
- [anwrjve6](https://wandb.ai/kingb12/nc_latent_tod/runs/anwrjve6) (`train_500_550`) 
- [ao7xgxi2](https://wandb.ai/kingb12/nc_latent_tod/runs/ao7xgxi2) (`train_1050_1100`) 
- [atrknfup](https://wandb.ai/kingb12/nc_latent_tod/runs/atrknfup) (`train_1450_1500`) 
- [awrrz5mj](https://wandb.ai/kingb12/nc_latent_tod/runs/awrrz5mj) (`train_150_200`) 
- [axf0909k](https://wandb.ai/kingb12/nc_latent_tod/runs/axf0909k) (`train_550_600`) 
- [bb64gceb](https://wandb.ai/kingb12/nc_latent_tod/runs/bb64gceb) (`train_4850_4900`) 
- [bdxoxrd4](https://wandb.ai/kingb12/nc_latent_tod/runs/bdxoxrd4) (`train_2500_2550`) 
- [bgewh3ae](https://wandb.ai/kingb12/nc_latent_tod/runs/bgewh3ae) (`train_2050_2100`) 
- [bgtc1sc7](https://wandb.ai/kingb12/nc_latent_tod/runs/bgtc1sc7) (`train_2350_2400`) 
- [bkkflrqf](https://wandb.ai/kingb12/nc_latent_tod/runs/bkkflrqf) (`train_4050_4100`) 
- [bpg3r6vg](https://wandb.ai/kingb12/nc_latent_tod/runs/bpg3r6vg) (`train_2150_2200`) 
- [bxheqqij](https://wandb.ai/kingb12/nc_latent_tod/runs/bxheqqij) (`train_5850_5900`) 
- [c50ols02](https://wandb.ai/kingb12/nc_latent_tod/runs/c50ols02) (`train_4300_4350`) 
- [c8lhmzx7](https://wandb.ai/kingb12/nc_latent_tod/runs/c8lhmzx7) (`train_2850_2900`) 
- [cbl3acfk](https://wandb.ai/kingb12/nc_latent_tod/runs/cbl3acfk) (`train_1550_1600`) 
- [cckg9ypq](https://wandb.ai/kingb12/nc_latent_tod/runs/cckg9ypq) (`train_1300_1350`) 
- [clvwum0z](https://wandb.ai/kingb12/nc_latent_tod/runs/clvwum0z) (`train_5700_5750`) 
- [crvhhnk1](https://wandb.ai/kingb12/nc_latent_tod/runs/crvhhnk1) (`train_4100_4150`) 
- [djxe4ks0](https://wandb.ai/kingb12/nc_latent_tod/runs/djxe4ks0) (`train_7450_7500`) 
- [dm9ia0a0](https://wandb.ai/kingb12/nc_latent_tod/runs/dm9ia0a0) (`train_3200_3250`) 
- [dmgn73qf](https://wandb.ai/kingb12/nc_latent_tod/runs/dmgn73qf) (`train_2750_2800`) 
- [dqvktjz8](https://wandb.ai/kingb12/nc_latent_tod/runs/dqvktjz8) (`train_3000_3050`) 
- [ededdn7s](https://wandb.ai/kingb12/nc_latent_tod/runs/ededdn7s) (`train_250_300`) 
- [ehjdzwks](https://wandb.ai/kingb12/nc_latent_tod/runs/ehjdzwks) (`train_4450_4500`) 
- [eq9xk9p4](https://wandb.ai/kingb12/nc_latent_tod/runs/eq9xk9p4) (`train_7100_7150`) 
- [eserv49l](https://wandb.ai/kingb12/nc_latent_tod/runs/eserv49l) (`train_3400_3450`) 
- [fcj8i6yv](https://wandb.ai/kingb12/nc_latent_tod/runs/fcj8i6yv) (`train_3900_3950`) 
- [fhjhswga](https://wandb.ai/kingb12/nc_latent_tod/runs/fhjhswga) (`train_2600_2650`) 
- [fmcbp3p1](https://wandb.ai/kingb12/nc_latent_tod/runs/fmcbp3p1) (`train_3100_3150`) 
- [gym79znb](https://wandb.ai/kingb12/nc_latent_tod/runs/gym79znb) (`train_2550_2600`) 
- [h00ocfax](https://wandb.ai/kingb12/nc_latent_tod/runs/h00ocfax) (`train_6900_6950`) 
- [hft9zkj5](https://wandb.ai/kingb12/nc_latent_tod/runs/hft9zkj5) (`train_1200_1250`) 
- [hv2vkjyk](https://wandb.ai/kingb12/nc_latent_tod/runs/hv2vkjyk) (`train_5300_5350`) 
- [hvo4rr1m](https://wandb.ai/kingb12/nc_latent_tod/runs/hvo4rr1m) (`train_3350_3400`) 
- [ibs0lg5q](https://wandb.ai/kingb12/nc_latent_tod/runs/ibs0lg5q) (`train_300_350`) 
- [iha6whdh](https://wandb.ai/kingb12/nc_latent_tod/runs/iha6whdh) (`train_4950_5000`) 
- [imv5vgxx](https://wandb.ai/kingb12/nc_latent_tod/runs/imv5vgxx) (`train_4200_4250`) 
- [ipo1ur1f](https://wandb.ai/kingb12/nc_latent_tod/runs/ipo1ur1f) (`train_6500_6550`) 
- [iv2u9sj1](https://wandb.ai/kingb12/nc_latent_tod/runs/iv2u9sj1) (`train_6550_6600`) 
- [ixkrsk9h](https://wandb.ai/kingb12/nc_latent_tod/runs/ixkrsk9h) (`train_2200_2250`) 
- [j92x77k6](https://wandb.ai/kingb12/nc_latent_tod/runs/j92x77k6) (`train_1750_1800`) 
- [jbpu6ds2](https://wandb.ai/kingb12/nc_latent_tod/runs/jbpu6ds2) (`train_3250_3300`) 
- [jhgrbxil](https://wandb.ai/kingb12/nc_latent_tod/runs/jhgrbxil) (`train_7050_7100`) 
- [jnddbypu](https://wandb.ai/kingb12/nc_latent_tod/runs/jnddbypu) (`train_6350_6400`) 
- [jxiv6laf](https://wandb.ai/kingb12/nc_latent_tod/runs/jxiv6laf) (`train_7350_7400`) 
- [jzgyz9pc](https://wandb.ai/kingb12/nc_latent_tod/runs/jzgyz9pc) (`train_400_450`) 
- [k9svwqy4](https://wandb.ai/kingb12/nc_latent_tod/runs/k9svwqy4) (`train_350_400`) 
- [kavyiepw](https://wandb.ai/kingb12/nc_latent_tod/runs/kavyiepw) (`train_8000_8050`) 
- [ksrw3lav](https://wandb.ai/kingb12/nc_latent_tod/runs/ksrw3lav) (`train_3700_3750`) 
- [m23xcdpp](https://wandb.ai/kingb12/nc_latent_tod/runs/m23xcdpp) (`train_4400_4450`) 
- [m9srqnjb](https://wandb.ai/kingb12/nc_latent_tod/runs/m9srqnjb) (`train_1400_1450`) 
- [ma494c1c](https://wandb.ai/kingb12/nc_latent_tod/runs/ma494c1c) (`train_4600_4650`) 
- [mj8c2aqs](https://wandb.ai/kingb12/nc_latent_tod/runs/mj8c2aqs) (`train_1850_1900`) 
- [mk2eq6sf](https://wandb.ai/kingb12/nc_latent_tod/runs/mk2eq6sf) (`train_3450_3500`) 
- [myuvi8k2](https://wandb.ai/kingb12/nc_latent_tod/runs/myuvi8k2) (`train_1100_1150`) 
- [n4p80zn3](https://wandb.ai/kingb12/nc_latent_tod/runs/n4p80zn3) (`train_2250_2300`) 
- [nhv6kn23](https://wandb.ai/kingb12/nc_latent_tod/runs/nhv6kn23) (`train_5500_5550`) 
- [ntem9l8i](https://wandb.ai/kingb12/nc_latent_tod/runs/ntem9l8i) (`train_1700_1750`) 
- [nxaiqc9f](https://wandb.ai/kingb12/nc_latent_tod/runs/nxaiqc9f) (`train_2450_2500`) 
- [objut5r7](https://wandb.ai/kingb12/nc_latent_tod/runs/objut5r7) (`train_5400_5450`) 
- [p1q4egi0](https://wandb.ai/kingb12/nc_latent_tod/runs/p1q4egi0) (`train_5200_5250`) 
- [p3led88g](https://wandb.ai/kingb12/nc_latent_tod/runs/p3led88g) (`train_7800_7850`) 
- [pz48z7w2](https://wandb.ai/kingb12/nc_latent_tod/runs/pz48z7w2) (`train_750_800`) 
- [q2pxxyqv](https://wandb.ai/kingb12/nc_latent_tod/runs/q2pxxyqv) (`train_3500_3550`) 
- [q36doaan](https://wandb.ai/kingb12/nc_latent_tod/runs/q36doaan) (`train_6050_6100`) 
- [q4rs2f8b](https://wandb.ai/kingb12/nc_latent_tod/runs/q4rs2f8b) (`train_5800_5850`) 
- [q6m5o2jd](https://wandb.ai/kingb12/nc_latent_tod/runs/q6m5o2jd) (`train_6750_6800`) 
- [qboo4tw9](https://wandb.ai/kingb12/nc_latent_tod/runs/qboo4tw9) (`train_1650_1700`) 
- [qlvgniqj](https://wandb.ai/kingb12/nc_latent_tod/runs/qlvgniqj) (`train_6200_6250`) 
- [rf38j7nv](https://wandb.ai/kingb12/nc_latent_tod/runs/rf38j7nv) (`train_3050_3100`) 
- [rrwvu8bg](https://wandb.ai/kingb12/nc_latent_tod/runs/rrwvu8bg) (`train_6950_7000`) 
- [san9j0c9](https://wandb.ai/kingb12/nc_latent_tod/runs/san9j0c9) (`train_6700_6750`) 
- [scyzjjxk](https://wandb.ai/kingb12/nc_latent_tod/runs/scyzjjxk) (`train_4550_4600`) 
- [sqsgzigw](https://wandb.ai/kingb12/nc_latent_tod/runs/sqsgzigw) (`train_7400_7450`) 
- [srm8hc0i](https://wandb.ai/kingb12/nc_latent_tod/runs/srm8hc0i) (`train_1800_1850`) 
- [te89bwy1](https://wandb.ai/kingb12/nc_latent_tod/runs/te89bwy1) (`train_800_850`) 
- [tk2lsmy1](https://wandb.ai/kingb12/nc_latent_tod/runs/tk2lsmy1) (`train_7000_7050`) 
- [tvd06ovx](https://wandb.ai/kingb12/nc_latent_tod/runs/tvd06ovx) (`train_6850_6900`) 
- [u41txte2](https://wandb.ai/kingb12/nc_latent_tod/runs/u41txte2) (`train_5650_5700`) 
- [uc7sm16d](https://wandb.ai/kingb12/nc_latent_tod/runs/uc7sm16d) (`train_7550_7600`) 
- [ucxnq82u](https://wandb.ai/kingb12/nc_latent_tod/runs/ucxnq82u) (`train_4500_4550`) 
- [ufgym94n](https://wandb.ai/kingb12/nc_latent_tod/runs/ufgym94n) (`train_4650_4700`) 
- [us6jref1](https://wandb.ai/kingb12/nc_latent_tod/runs/us6jref1) (`train_3650_3700`) 
- [uuae15vn](https://wandb.ai/kingb12/nc_latent_tod/runs/uuae15vn) (`train_2950_3000`) 
- [uvugicmc](https://wandb.ai/kingb12/nc_latent_tod/runs/uvugicmc) (`train_2400_2450`) 
- [uyksntrm](https://wandb.ai/kingb12/nc_latent_tod/runs/uyksntrm) (`train_4700_4750`) 
- [v1fykon4](https://wandb.ai/kingb12/nc_latent_tod/runs/v1fykon4) (`train_5550_5600`) 
- [v1x0j6x3](https://wandb.ai/kingb12/nc_latent_tod/runs/v1x0j6x3) (`train_450_500`) 
- [v5czeics](https://wandb.ai/kingb12/nc_latent_tod/runs/v5czeics) (`train_6800_6850`) 
- [vjey0wha](https://wandb.ai/kingb12/nc_latent_tod/runs/vjey0wha) (`train_7900_7950`) 
- [vphz74x6](https://wandb.ai/kingb12/nc_latent_tod/runs/vphz74x6) (`train_5100_5150`) 
- [vqz637s1](https://wandb.ai/kingb12/nc_latent_tod/runs/vqz637s1) (`train_2100_2150`) 
- [vu1cp3ir](https://wandb.ai/kingb12/nc_latent_tod/runs/vu1cp3ir) (`train_4250_4300`) 
- [w9hvwrv8](https://wandb.ai/kingb12/nc_latent_tod/runs/w9hvwrv8) (`train_4000_4050`) 
- [wvft5ree](https://wandb.ai/kingb12/nc_latent_tod/runs/wvft5ree) (`train_6600_6650`) 
- [xcya8vot](https://wandb.ai/kingb12/nc_latent_tod/runs/xcya8vot) (`train_7300_7350`) 
- [xqnht1zv](https://wandb.ai/kingb12/nc_latent_tod/runs/xqnht1zv) (`train_5450_5500`) 
- [xu1ddpxj](https://wandb.ai/kingb12/nc_latent_tod/runs/xu1ddpxj) (`train_6150_6200`) 
- [xvnx4d72](https://wandb.ai/kingb12/nc_latent_tod/runs/xvnx4d72) (`train_6300_6350`) 
- [xy9ifikx](https://wandb.ai/kingb12/nc_latent_tod/runs/xy9ifikx) (`train_650_700`) 
- [y328y2gp](https://wandb.ai/kingb12/nc_latent_tod/runs/y328y2gp) (`train_4900_4950`) 
- [yaymt9i2](https://wandb.ai/kingb12/nc_latent_tod/runs/yaymt9i2) (`train_1900_1950`) 
- [yc7tq1lk](https://wandb.ai/kingb12/nc_latent_tod/runs/yc7tq1lk) (`train_7200_7250`) 
- [yk0m0ej4](https://wandb.ai/kingb12/nc_latent_tod/runs/yk0m0ej4) (`train_50_100`) 
- [z02ap8m0](https://wandb.ai/kingb12/nc_latent_tod/runs/z02ap8m0) (`train_5250_5300`) 
- [zf527ntg](https://wandb.ai/kingb12/nc_latent_tod/runs/zf527ntg) (`train_1000_1050`) 
- [zptoffjb](https://wandb.ai/kingb12/nc_latent_tod/runs/zptoffjb) (`train_2300_2350`) 
- [zqr77p27](https://wandb.ai/kingb12/nc_latent_tod/runs/zqr77p27) (`train_7950_8000`) 
- [zvt24g39](https://wandb.ai/kingb12/nc_latent_tod/runs/zvt24g39) (`train_7850_7900`) 


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

```json
{
    "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"
        },
        "verbatim_k_examples": 0,
        "verbatim_documents_path": null,
        "add_predictions_to_index": true
    },
    "data": {
        "eval_set_split_name": "train_6250_6300",
        "train_set_split_name": null,
        "eval_set_path_or_name": "Brendan/multiwoz_turns_v22_partitioned",
        "train_set_path_or_name": null
    },
    "wandb": {
        "run_name": "offline_labelling_experiment-initial_labelling-dependents-train_6250_6300",
        "run_tags": [
            "Starcoder Self Label - Initial Labelling"
        ],
        "run_group": "offline_labelling_experiment-initial_labelling-dependents",
        "run_notes": null
    },
    "output": {
        "output_dir": "/data/users/bking2/nc_latent_tod/outputs/runs/offline_labelling_experiment/initial_labelling/dependents/05ax9u2g",
        "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"
        },
        "verbatim_k_examples": 0,
        "verbatim_documents_path": null,
        "add_predictions_to_index": true
    },
    "profile": false,
    "manifest": {
        "type": "dynamo",
        "group_id": "initial_labelling",
        "manifest_path": "NCLatentTODExperimentsLogManifestTable",
        "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": "nc_latent_tod.ontology.multiwoz.ontology.MultiWOZOntology.create_ontology",
        "ontology_file": "db/multiwoz/2.4/ontology.json",
        "schema_loader": "nc_latent_tod.schemas.reader.read_multiwoz_schema"
    },
    "prompt_generator": "kwargs",
    "resume_from_logs": null,
    "data_num_partitions": 4,
    "publish_labelled_dataset_as": null,
    "create_self_labelled_dataset": false
}
```

The dataset was created from the following manifest entries:

```json
[
    {
        "run_id": "05ax9u2g",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6250_6300"
    },
    {
        "run_id": "09hl3loa",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3950_4000"
    },
    {
        "run_id": "0kecaq6t",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3850_3900"
    },
    {
        "run_id": "0qbsu4i3",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7650_7700"
    },
    {
        "run_id": "0v3hdgi5",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5900_5950"
    },
    {
        "run_id": "12axcfyu",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4350_4400"
    },
    {
        "run_id": "12ssp17h",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1350_1400"
    },
    {
        "run_id": "1fb7fyqs",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7750_7800"
    },
    {
        "run_id": "1mb84efl",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_0_50"
    },
    {
        "run_id": "1zp6f4q7",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5600_5650"
    },
    {
        "run_id": "2113knwd",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6650_6700"
    },
    {
        "run_id": "27m4igb8",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1500_1550"
    },
    {
        "run_id": "2hqc2ccx",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2700_2750"
    },
    {
        "run_id": "2kmoowvd",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2800_2850"
    },
    {
        "run_id": "2t96tfdc",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_700_750"
    },
    {
        "run_id": "30gv9y20",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5050_5100"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2650_2700"
    },
    {
        "run_id": "3c2ue5wt",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3800_3850"
    },
    {
        "run_id": "3irqby3i",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_600_650"
    },
    {
        "run_id": "3yfkieas",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4750_4800"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1600_1650"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7700_7750"
    },
    {
        "run_id": "5b1ivi7o",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6100_6150"
    },
    {
        "run_id": "6dw0xkur",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4800_4850"
    },
    {
        "run_id": "6ia6nh1u",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_100_150"
    },
    {
        "run_id": "6q213bw0",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6000_6050"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3300_3350"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7500_7550"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7250_7300"
    },
    {
        "run_id": "71o9dxlb",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3550_3600"
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    {
        "run_id": "73e0t6ks",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_200_250"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2900_2950"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
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    },
    {
        "run_id": "7kcxj5z1",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1150_1200"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3600_3650"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4150_4200"
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    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6400_6450"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5000_5050"
    },
    {
        "run_id": "8gbv4ctw",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2000_2050"
    },
    {
        "run_id": "8i63k04d",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7150_7200"
    },
    {
        "run_id": "8k5ps5h1",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5950_6000"
    },
    {
        "run_id": "967slhrh",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1950_2000"
    },
    {
        "run_id": "9ox3a8xc",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3150_3200"
    },
    {
        "run_id": "9p2zndog",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5350_5400"
    },
    {
        "run_id": "9vf67uo0",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3750_3800"
    },
    {
        "run_id": "a59rvprt",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6450_6500"
    },
    {
        "run_id": "a9v5gl0i",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1250_1300"
    },
    {
        "run_id": "anwrjve6",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_500_550"
    },
    {
        "run_id": "ao7xgxi2",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1050_1100"
    },
    {
        "run_id": "atrknfup",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1450_1500"
    },
    {
        "run_id": "awrrz5mj",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_150_200"
    },
    {
        "run_id": "axf0909k",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_550_600"
    },
    {
        "run_id": "bb64gceb",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4850_4900"
    },
    {
        "run_id": "bdxoxrd4",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2500_2550"
    },
    {
        "run_id": "bgewh3ae",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2050_2100"
    },
    {
        "run_id": "bgtc1sc7",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2350_2400"
    },
    {
        "run_id": "bkkflrqf",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4050_4100"
    },
    {
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        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2150_2200"
    },
    {
        "run_id": "bxheqqij",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5850_5900"
    },
    {
        "run_id": "c50ols02",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4300_4350"
    },
    {
        "run_id": "c8lhmzx7",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2850_2900"
    },
    {
        "run_id": "cbl3acfk",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1550_1600"
    },
    {
        "run_id": "cckg9ypq",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1300_1350"
    },
    {
        "run_id": "clvwum0z",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5700_5750"
    },
    {
        "run_id": "crvhhnk1",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4100_4150"
    },
    {
        "run_id": "djxe4ks0",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7450_7500"
    },
    {
        "run_id": "dm9ia0a0",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3200_3250"
    },
    {
        "run_id": "dmgn73qf",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2750_2800"
    },
    {
        "run_id": "dqvktjz8",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3000_3050"
    },
    {
        "run_id": "ededdn7s",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_250_300"
    },
    {
        "run_id": "ehjdzwks",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_4450_4500"
    },
    {
        "run_id": "eq9xk9p4",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_7100_7150"
    },
    {
        "run_id": "eserv49l",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3400_3450"
    },
    {
        "run_id": "fcj8i6yv",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3900_3950"
    },
    {
        "run_id": "fhjhswga",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2600_2650"
    },
    {
        "run_id": "fmcbp3p1",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_3100_3150"
    },
    {
        "run_id": "gym79znb",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_2550_2600"
    },
    {
        "run_id": "h00ocfax",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_6900_6950"
    },
    {
        "run_id": "hft9zkj5",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_1200_1250"
    },
    {
        "run_id": "hv2vkjyk",
        "dataset": "Brendan/multiwoz_turns_v22_partitioned",
        "split": "train_5300_5350"
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```
