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Changelog

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  • Fix every kaggle command failing with ModuleNotFoundError: No module named 'six' when installed alongside python-dateutil 4.0.0 or newer. kaggle.models.upload_file imported six without declaring it, and only got it through python-dateutil, which dropped six in 4.0.0
  • Show every column in kaggle benchmarks leaderboard for Game Arena leaderboards (kaggle/game-arena, kaggle/chess-text, kaggle/poker-heads-up, ...). Their columns share an empty task slug, so all but the last collapsed into one and the headline score was dropped from --show and --download
  • Validate bare slugs in kaggle kernels delete and require an explicit owner when no username is configured, before confirmation or API access
  • Clear stale CPU/GPU image pins when pushing a TPU notebook pulled from a CPU/GPU session
  • Add --public to kaggle competitions leaderboard, which returns the public leaderboard from --show. Once a competition has concluded --show returns the final leaderboard and --download returns the public one, and neither said which
  • Fix kaggle datasets create/version (and other uploads) failing on Windows with [Errno 2] No such file or directory when the path uses forward slashes, such as C:/data from Git Bash: the resumable-upload state file name kept the / separators and pointed into sub-directories that do not exist

2.2.5

  • Require certifi >= 2026.10.19, which drops the compromised emSign/eMudhra root CAs (GHSA-6q48-6c7w-9gw2). kaggle only pulled in certifi through requests, which sets no minimum, so an existing install could keep a certifi that would accept a forged kaggle.com certificate and leak the user's API token to a man-in-the-middle
  • Reject kernel version numbers in kaggle kernels delete instead of failing with a ValueError when a version is included in <owner>/<kernel>/<version>
  • Report a 404 from kaggle competitions submit with a competition-specific hint on stderr, naming the notebook and version for code submissions. The check never matched a 404, so users got the generic <owner>/<slug> hint instead
  • Exit non-zero from kaggle competitions submit when the submission file upload fails. It printed "Could not submit to competition" and exited 0, so scripts treated the failed submission as a success
  • Include the UTC offset (+00:00) in refreshAt timestamps displayed by kaggle quota
  • Recommend installing with pipx or uv and add troubleshooting guidance for externally-managed-environment errors in the installation docs
  • Stream kaggle kernels output files to disk through the same download path as datasets and competitions, with a read timeout, a size check, and resume after a dropped connection. Each file used to be read into memory whole, so a 512 MiB output took about 1.2 GB of RAM, and a dropped connection failed the command and left an empty file behind
  • Honor the version in <owner>/<kernel>/<version> for kaggle kernels pull, output, status, files and logs, which previously returned 403 for pull and acted on the latest version for the others
  • Clarify in --accelerator help and kernels docs that NvidiaTeslaT4 maps to GPU T4 x2 and TpuV5E8 maps to TPU v5e-8
  • Reject dataset version numbers in kaggle datasets delete to prevent unintentionally deleting an entire dataset when targeting a single version
  • Reject kernel version numbers in kaggle kernels delete, including whitespace-only ones, to prevent unintentionally deleting an entire kernel when targeting a single version, and stop advertising a version in the kernels delete and kernels topics list help
  • Show why a submission failed in kaggle competitions submission <ref>, which already comes back in the API response but was not displayed
  • Honor -k/--kernel in kaggle kernels pull, which was ignored when the positional kernel argument was omitted, causing the CLI to fall back to the local kernel-metadata.json and pull a different kernel
  • Refuse to write a kaggle kernels output file whose server-supplied name resolves outside the requested --path directory
  • Add --no-run to kaggle kernels push to save a new version without executing the notebook, the equivalent of Quick Save in the web UI
  • Honor --unzip when downloading a single file with kaggle datasets download -f, which extracts the file from the zip archive the server wraps large files in, and add --unzip to kaggle competitions download
  • Fix misleading validation error messages in kaggle competitions submit when --kernel, --version, or --file is missing for a code competition submission
  • Keep the requested folder when downloading a single file with kaggle datasets download -f or kaggle competitions download -f, instead of writing it to the download root
  • Report slug instead of title in the kaggle datasets create error message when the requested slug is already in use
  • Prevent HTTP errors during resumed Range downloads from overwriting existing partial download files
  • Check the HTTP status when downloading kaggle kernels output files so error responses are not saved as output files
  • Add kaggle competitions host-add <comp> -u <user> to grant host access on a competition to a Kaggle user
  • Suggest a next step on 403/404/429/5xx API errors, report unexpected errors as bugs instead of a traceback (with a new --debug flag), and list common examples in kaggle --help
  • Guard tar extraction in kaggle models instances versions download --untar against path traversal
  • Store resumable upload state in a private per-user directory (0700) and verify directory ownership and permissions before use
  • Add kaggle benchmarks quota to show Model Proxy (AI inference) spend quota, and bump kagglesdk to >= 0.1.38
  • Honor --untar in kaggle models instances versions download when the archive is already cached locally
  • Write kernel log files using UTF-8 in kaggle kernels output to avoid UnicodeEncodeError on Windows
  • Exclude omitted overview and usage fields from the update mask when updating a model instance
  • Add kaggle competitions submission-download <id> to download the submitted file for a single submission (requires kagglesdk >= 0.1.36)
  • Add deadline (Competition Deadline) to the competition settings command and bump kagglesdk to >= 0.1.36
  • Warn when kaggle kernels push requests a retired accelerator (NvidiaTeslaP100, TpuV38, Tpu1VmV38, TpuV232 or TpuV2256), since the server runs the session on a replacement instead. Drop the retired shapes from the docs
  • Abort dataset, model version, and competition data uploads when a file upload fails instead of skipping the failed file and creating a partial upload
  • Use GitHub alerts and fix the LLMS_AVAILABLE token reference in the benchmarks documentation
  • Add unified kaggle search command across competitions, datasets, notebooks, models, users, and discussions
  • Parse duration suffixes (s, m, h, d, w) in kaggle auth print-access-token --expiration instead of raising a TypeError
  • Add --wait/--poll-interval to kaggle competitions submit to wait for scoring, and add kaggle competitions submission <ref> to look up a single submission's status and score
  • Show N/A instead of Fail in kaggle benchmarks leaderboard for a task result the server returned without a pass/fail or numeric score, which was reported as a failed task

2.2.4

  • fix(benchmarks): support owner/task separator in benchmark commands (#1146)
  • Feat/competition submissions limits (#1144)
  • add competitions solution create/status commands (#1141)
  • fix(cli): prevent stale file corruption when resuming downloads (#1142)
  • fix(cli): fix collaborator role handling in dataset metadata update (#1138)
  • Refactor paging to use Protocols (#1137)
  • fix(cli): retry transient connection errors in with_retry (#1132)
  • Add Kaggle Secrets documentation (#1131)
  • Fix model and owner slug validation (#1134)
  • Implement ignore_patterns in uploading (combined) (#1130)
  • Refactor parser fixtures (#1118)
  • fix(auth): avoid skipping auth for programmatic imports (#1117)
  • fix(cli): resumable upload start offset when zero bytes uploaded (#1113)
  • refactor(cli): reuse _resolve_projection in dataset_status (#1116)
  • update supported model list (#1115)
  • fix(cli): handle deleted comments in topics show (#1114)
  • Add leaderboard subcommand to kaggle benchmarks (#1112)
  • feat(cli): add competitions settings update command (#1104)
  • feat(cli): add competitions hosts list command (#1107)
  • feat(cli): add competitions settings get command (#1103)
  • feat(cli): support --page-token and --page-size, preserve --page (#1098)
  • feat(cli): expose userRank in competitions list output (#1094)
  • fix(cli): read kernel metadata and source files using UTF-8 in kernels_push (#1093)
  • Fix crash when running kaggle command with invalid credentials (#1092)
  • feat(cli): add competitions data push command (#1085)
  • fix(cli): restore fallback for unknown kernel language/type in kernels_pull (#1091)
  • fix(auth): prioritize OAuth credentials over anonymous fallback (#1089)
  • feat(cli): add competitions pages update command (#1083)
  • fix(cli): stop treating subcommand -v as version flag (#1082)
  • fix(cli): honor --unzip for cached dataset downloads (#1086)
  • feat(cli): add competitions pages delete command (#1084)
  • feat(cli): add competitions init and create commands (#1080)
  • docs(competitions): add competition_creation.md for new host commands (#1081)
  • feat(cli): add competitions launch command (#1079)
  • feat(cli): add competitions pages create command (#1078)
  • fix(cli): avoid success message after canceled model deletion (#1077)
  • fix(cli): avoid success message after canceled dataset deletion (#1073)

2.2.3

  • Update --format help text to reference output_format.md (#1074)
  • Update kernel pull docs with version example (#1072)
  • Reorganize tests and rename unit_tests.py to backend_tests.py (#1071)
  • Add support for formatting projections (#1068)
  • Rewrite kaggle kernels logs --follow to use SSE log stream (#999)
  • Add --format option to CLI commands supporting --csv (#1062)

2.2.2

  • Clarify LLMS_AVAILABLE vs. full model set in benchmarks docs (#1061)
  • Add kernels topics command (#1056)
  • Improve benchmark task error messages in kaggle CLI (#1057)
  • Fix dataset metadata column/file description updates and docs (#1055)
  • Expand Kaggle CLI skill references (#1054)
  • Tag benchmarks token requests with CLI source for analytics (#1050)
  • Add machine_shape to kernels_initialize metadata template and docs (#1048)
  • Fix 403 for dataset, model, and benchmark topics list (#1051)
  • Fix test_benchmarks_cli.py assertions (#1049)
  • Add paginated downloads for kernel output files (#1046)
  • fix(tests): resolve infinite loop in test_kernels_d_status (#1043)

2.2.1

  • Add kaggle competitions team-submissions command (#1036)
  • Add kaggle quota command for GPU/TPU accelerator quota (#1029)
  • Support optional kernel version in specifier (#1035)
  • feat(benchmarks): Add log and download source files (#1019)
  • Fix benchmarks CLI error handling and UX improvements (#1024, #1026, #1028, #1030, #1032, #1037, #1039)
  • Fix JSON serialization and download label display (#1038, #1040, #1042)
  • Set proper permissions on auth file (#1033)

2.2.0

  • Add test runner workflow
  • Patch discussions code (#1018)
  • fix(benchmarks): normalize provider-prefixed and @-containing model s… (#1016)
  • fix(benchmarks): handle EOF when selecting models without -m (#1013)
  • fix(benchmarks): dual layer rate limiting (#1014)
  • Small changes to improve debugging (#1008)
  • feat: add forums commands for browsing Kaggle discussions (#993)
  • Add competitions topics CLI command (#982)

2.1.2

  • Update kagglesdk version

2.1.1

  • Add instructions re kagglesdk (#1000)
  • fix(benchmarks cli): bugs and additional features (#997)
  • Add submission ref to competition submissions output (#989)
  • Add Gemini Agent Skill for Benchmarks CLI (#994)
  • (Off Platform SDK) add new models (#991)
  • fix (cli): kaggle benchmark tasks (#988)
  • Update kaggle b init to include example and reference (#990)
  • Update API token page URL (#987)
  • Update b auth and b init confirmations (#986)
  • Enable & document OAuth authentication flow. (#983)
  • Add --format flag to datasets status for JSON output (#972)

2.1.0

  • Add kaggle benchmarks init command (#981)
  • Fix mypy typing checks (#979)
  • feat: Implement kaggle benchmark client (#955)
  • Update default Python version in cicd CB config
  • Make a list (#978)

2.0.2

  • Add kaggle benchmarks auth command (#976)
  • Create Cloud Build script to run linter (#974)
  • Add kaggle kernels logs CLI command (#966)
  • Fix(benchmarks tasks push): handle 403 (#971)
  • Fix: respect Retry-After header on HTTP 429 responses (#938) (#940)
  • Update kagglesdk dependency version to 0.1.19 (#970)
  • Support dataset-cover-image.png upload for datasets metadata --update (#969)
  • Add CLI commands for simulation episodes and competition pages (#968)
  • Feature(benchmarks): implement Kaggle client (push/run functionality) (#960)

2.0.1

  • Add --sandbox flag to kaggle competitions submit for sandbox submissions (competition hosts/admins only) (#932)
  • Optimize large dataset download functionality (#936, s/o katoue)
  • Fix 403s and null file handling when listing kernel session output (#951, s/o 4kaws)
  • Support updating more types of dataset metadata through datasets metadata --update:
    • Expected update frequency, user specified sources (#958)
    • Dataset images (#959)

2.0.0

  • General Availability release
  • Change more "instance" to "variation"
  • Update link for the integration test auth instructions (#926)
  • Fix string formatting in upgrade nudge message (#928) Thanks PythonicVarun!

1.8.4

  • Rename kaggle-api to kaggle-cli
  • Allow auth to happen multiple times (#922)
  • Add --acc to set accelerator for: kaggle kernels push ... (#907)
  • Add automatic retry and resume to download_file (#905) Thanks katoue!
  • Restore model validation check (#902)
  • Add file pattern matching in output download (#901) Thanks piotr-ginal!

1.8.3

  • Add packaging dep (#883)
  • Add version checking against server known-version (#880)
  • Fix edit error (#876)
  • Use kagglesdk from pypi (#875)
  • Fix Kaggle access token auth KeyError when KAGGLE_API_TOKEN is unset (#874)

1.8.2

  • Changes to build script

1.8.1

  • Fix memory exhaustion when downloading large files (#869)
  • Add python-dateutil to pyproject.toml dependencies (#866)

1.8.0

  • Fix resumable download error (#865)
  • Fix dataset version spec (#862)
  • Add machine_shape to the metadata of kaggle kernels pull (#856)
  • Add pagination options to models
  • Add pagination options for submissions (#832)
  • Add pagination options to list commands (#815)
  • Add canonical aliases for push/pull (#787)
  • Add parquet as a filter option (#786)
  • Add variations as alt for instances (#784)
  • Enable (and rename) synonyms i and v (#782)

1.7.5.0 (not released)

  • Require Python 3.11.
  • Add KernelExecutionType (#775)
  • Output docker_image as part of the pull metadata (#773)
  • Allow user to specify docker_image during kernel push (#774)
  • Add kernel version type to save request (#771)
  • Add tests for delete and de-flake (#769)
  • Rename "yes" params and make confirmation consistent (#765)
  • Fix bug that caused double serialization (#764)
  • Add kaggle kernels delete (#762)
  • Add test for dataset_delete() and make script more robust (#760)
  • Check dataset status before uploading (#759)
  • Add kaggle datasets delete (#755)
  • Fix calls to download_file() (#752)
  • Add type annotations for mypy (#746)
  • Use Optional[...] in cases where the proto file does (#744)
  • Improve some type hints and fix a bug (#741)
  • Reformat everything with black (#737)
  • Add more type hints (#736)
  • Add type annotations to main file (#735)
  • Bulk reformat docstrings (#732)
  • Merge envars before sending a request (#729)
  • Use PROD if no environment is specified. (#726)
  • Add a no response action to auto-close issues (#723)

1.7.4.2

  • Fix a problem in downloading kernel output files.

1.7.4.1

  • Fix a dataset download problem. Datasets that had a license were failing to download.
  • Update the documentation to include code competition submit.

1.7.4

Version 1.7.3 was never released. There were errors in versioning on test.pypi.org. For consistency, we decided to jump several version numbers. This is the first release since 1.6.17.

The actual changes are described in 1.7.3.

1.7.3

There was an error in versioning. We went from 1.6.17 to 1.7.3.

  • Added the ability to submit to a code competition. Some required arguments have been made optional.
  • Added a --timeout option to kaggle kernels push to limit the run-time to the specified number of seconds.
  • Removed Swagger. Projects that use kaggle/api/kaggle_api.py may be affected. That file is deprecated and will be removed. Most of its functions still work, but those that involve uploading files no longer work. The command-line tool uses a higher-level abstraction for uploading, and client code needs to be converted to use that.

1.7.3b2

  • Added the ability to submit to a code competition. Some required arguments have been made optional.
  • Added a --timeout option to kaggle kernels push to limit the run-time to the specified number of seconds.

1.7.3b1

  • Fix escaped-quote issue in HTTP requests.

1.7.3b0

  • Remove Swagger. No user-visible changes to the command-line tool. However, projects that use kaggle/api/kaggle_api.py may be affected. That file is deprecated and will be removed. Most of its functions still work, but those that involve uploading files no longer work. The command-line tool uses a higher-level abstraction for uploading and client code needs to be converted to use that.

1.6.17

  • No changes; release 1.6.16 did not complete.

1.6.16

  • No changes; release 1.6.15 isn't usable. We're working on process updates to prevent this from happening again.

1.6.15

  • Support XDG base directory specification on Linux
  • Disable out-of-date API version warning with -W
  • Allow an array of strings in "source" when uploading .ipynb files (thanks to GitHub user mgallifrey for the contribution!)
  • Add triton framework for models
  • Update model licenses

1.6.14

  • No changes; release 1.6.13 isn't usable.

1.6.13

  • Add --page-size and --page-token CLI options to all commands that display lists of files.

1.6.12

  • Re-release 1.6.11 without the src directory included in the package.

1.6.11

  • Allow unauthenticated usage of "datasets download", "datasets files".
  • Allow "help" and "version" to be used for all commands, unauthenticated.
  • Fix: "dataset download -f" can accept a specific dataset version.

1.6.10

Repackage of 1.6.8 as a new release, to fix the problematic 1.6.9 release.

1.6.9

  • Do not use. Problematic release that causes an error: ModuleNotFoundError: No module named 'kaggle.api'

1.6.8

  • Add "gguf"

1.6.7

  • Add "TensorRtLlm" model framework.

1.6.6

  • Add "GemmaCpp" and "GGML" model frameworks.

1.6.5

  • Add "MaxText" model framework.

1.6.4

  • Add "Transformers" model framework.

1.6.3

Release date: 01/11/24

  • Add "Flax" and "Pax" model frameworks.

1.6.2

Release date: 01/09/24

  • Add "Other" model framework.

1.6.1

Release date: 01/08/24

  • Fix dataset/model upload.

1.6.0

Release date: 01/04/24

  • Release the pre-release branch with models endpoints.

1.6.0a7

Release date: 11/22/23

  • Add model_instance_type and base_model_instance_id to ModelInstance

1.6.0a6

Release date: 9/19/23

  • Include version_number and version_id in the model-instance-metadata.json file

1.6.0a5

Release date: 8/02/23

  • Add Keras model framework.

1.5.16

Release date: 7/17/23

  • Fix dataset download bug with locale
  • Resumable uploads
  • Retry some failed requests

1.6.0a4

Release date: 7/07/23

  • Resumable uploads
  • Retry some failed requests
  • Flag -y to delete model/instance/version without confirmation

1.6.0a3

Release date: 7/06/23

  • Confirmation for deleting a model, instance or version
  • Merge changes from 1.5.14 and 1.5.15

1.5.15

Release date: 6/30/23

  • Add missing licenses for datasets
  • Re-add option to pass dataset with -d
  • Download / list files for a specific version of a dataset
  • Documentation improvements

1.5.14

Release date: 6/29/23

  • Show the full error message from the API
  • Improve and fix documentation
  • Fix kernel's data sources bug, and add the model data source to push/pull
  • Implement resumable downloads
  • Fix unreachable code bug
  • Make some arguments required
  • Add enable_tpu to kernel's push/pull

1.6.0a2

Release date: 6/12/23

  • Add endpoint to get a modelInstance
  • Simplify the modelInstanceVersion creation
  • Fix Model files zipping

1.6.0a0

Release date: 6/07/23

  • Add Models endpoints

1.5.13

Release date: 2/27/23

  • Add ability to add a model to a kernel

1.5.12

Release date: 03/12/21

  • No changes

1.5.11

Release date: 03/12/21

  • Add support for non-ASCII characters for kernels.

1.5.10

Release date: 11/30/20

  • Remove dependency on slugify.

1.5.9

Release date: 10/21/20

  • Drop version restriction on urllib3 in setup.py.

1.5.8

Release date: 09/03/20

  • No user-facing changes

1.5.7

Release date: 8/31/20

  • Add ability to specify the kernel docker image pinning type
  • Kernels have internet enabled by default
  • Various competitions fixes

1.5.6

Release date: 9/19/19

  • Downloading all files for a competition downloads a zip instead of individual files

1.5.5

Release date: 8/30/19

  • Add vote count and usability rating to datasets listing
  • Add min and max dataset size filters to datasets listing
  • Add additional information to dataset metadata API
  • Allow updating dataset metdata

1.5.4

Release date: 5/28/19

  • Make kernels init more friendly
  • Make directories if needed for kernels output

1.5.3

Release date: 2/20/19

  • Bump urllib3 version

1.5.2

Release date: 1/28/19

  • Don't error on encoding errors when printing tables
  • Exit with error code when an exception is caught

1.5.1.1

Release date: 12/5/18

  • Add missing cli option for dataset subfolders

1.5.1

Release date: 12/5/18

  • Allow custom ca_cert files
  • Support uplodaing datasets with subfolders
  • Fix kaggle.json permissions warning

1.5.0

Release date: 10/19/18

  • Update API to work with new competitions submissions backend. This change will force old API clients to update.
  • Update error message when config file is not found.

1.4.7.1

Release date: 8/28/18

  • Fix host

1.4.7

Release date: 8/28/18

  • Make dataset version -p argument actually optinal
  • Don't require the resources field when updating a dataset
  • Don't automatically unzip datasets
  • Add an unzip option for dataset downloads
  • Add validation for kernel title and slug length
  • Give a warning if kernel title does not resolve to the specified slug
  • Show kernel version number after pushing
  • Respect code_file value in kernel metadata when pulling kernels

1.4.6

Release date: 8/7/18

  • Allow setting config values through environmental variables

1.4.5

Release date: 8/1/18

  • Add error if dataset metadata repeats files

1.4.4

Release date: 7/30/18

  • Fix issue with reading kernel metadata

1.4.3

Release date: 7/30/18

  • Add more competitions list options
  • Add more datasets list options
  • Add a couple more fields to kernels list display
  • Add support for kernel and dataset ID's
  • Allow generating metadata for an existing dataset
  • Fix issue with downloading from datasets whose titles don't match their slugs
  • Use kernel slug as filename for kernel output
  • Make upload and download directory default to current working directory
  • Use a default username on downloading kernel or dataset data if none is specified
  • Support extended data types on datasets
  • Stop requiring -c, -d, and -k arguments
  • Don't require resources field in dataset metadata

1.4.2

Release date: 7/20/18

  • Validate dataset slug and title length before uploading
  • Fix issue with dataset metadata file detection
  • Cleaned up KeyboardInterrupt errors
  • Validate all specified files in a dataset exist prior to uploading
  • Make ApiExceptions (slightly) less ugly

1.4.1

Release date: 7/20/18

  • Add python 3.7 compatibility

1.4.0

Release date: 7/19/18

  • Add kernels support ** List and search kernels ** Push kernels code ** Pull kernels code ** Download kernel output ** Get latest kernel run status

1.3.12

Release date: 6/25/18

  • Allow setting a 'KAGGLE_CONFIG_DIR' environmental token
  • Return metadata file after creating
  • Alert users that dataset creation takes time

1.3.11.1

  • Fix other invalid tags check

1.3.11

Release date: 6/12/18

  • Improve version check
  • Fix invalid tags check

1.3.10

Release date: 6/10/18

  • Restrict urllib3's version due to requests dependency problem

1.3.9.1

Release date: 6/9/18

  • Fix bug with competitions submissions.

1.3.9

Release date: 6/8/18

  • Improve error message for closed competitions
  • Remove stacktrace on errors
  • Print any invalid tags
  • Warn if there are no competition files to download
  • Implement resumable uploads
  • Add subtitle metadata to dataset uploads
  • Add progress bars for uploads and downloads
  • Add command for downloading competitions leaderboard
  • Add command for viewing the top of the leaderboard

1.3.8

Release date: 5/18/18

  • Add option to delete all previous dataset versions

1.3.7

Release date: 5/18/18

  • Add aliases for subcommands (ex. kaggle c is the same thing as kaggle competitions)
  • Add version command
  • Show full download path for files
  • Remove file size limitation from uploads

1.3.6

Release date: 5/7/18

  • Give the option to add tags to datasets.
    • Known limitiation - you cannot delete tags through the API. Those changes must be done through the website.

1.3.5

Release date: 5/4/18

  • Fix schema declaration in dataset resources

1.3.4

Release date: 4/30/18

  • Rename columns to fields

1.3.3

Release date: 4/26/18

  • Fix UnicodeEncodeError for certain datasets
  • Include Swagger yaml and config files

1.3.2.1

Release date: 4/24/18

  • Fix bug with column metadata

1.3.2

Release date: 4/24/18

  • Give the option to specify a schema for uploaded datasets
  • Give the option to set the dataset description during updates

1.3.1

Release date: 4/19/18

  • Give the option to set dataset file descriptions
  • Give the option to not convert tabular datasets to csv

1.3.0

Release date: 4/18/18

  • Give the option to set the dataset description during creation

1.2.1

Release date: 4/17/18

  • Issue #5 - Reformat code for consistency and to align with Google's python coding style. Most of the changes are cosmetic, but most cases of camelCasing other than class names have been changed to snake_case. This is a breaking change for anyone directly using the python code rather than simply using the command line.