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value:Pass library_name/version to HfApi in dataset push and delete paths
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value:Closes #7922 ## Summary Add a packaged builder for [TsFile](https://tsfile.apache.org/) — the columnar time-series file format used as the native storage layer of [Apache IoTDB](https://iotdb.apache.org/). This enables `load_dataset("tsfile", data_files="...")` with automatic `.tsfile` extension detection. ###...
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value:Fixes #7928 When `load_dataset()` falls back to the local cache, for example when offline or when the Hub is unreachable, it ignores the `revision` argument and simply returns the most recently modified cached version. This can lead to unexpected behavior when a specific revision is requested. This happens ...
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value:fix the viewer at https://huggingface.co/datasets/raivn/vn-test/discussions/1 kinda related: https://github.com/huggingface/datasets/issues/5717
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value:### Feature request Modify the dataset loading initialization, so that fsspec filesystem instances (like GCSFileSystem or S3FileSystem) are instantiated once in the main thread and explicitly passed down to the background threads. By pre-instantiating the fs object in the main thread (where the directory cache ...
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value: # Add Apache Iceberg format support ## Motivation Apache Iceberg is the most widely adopted open table format for data lakes, supported by Databricks, Snowflake, AWS Glue, Dremio, and others. A large amount of ML training data lives in Iceberg tables. Currently, users must manually export Iceberg ...
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value:Fix iterable map resume state
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value: Fixes: https://github.com/huggingface/datasets/issues/8145 ## Root Cause `FormattedExamplesIterable.__iter__` ignored `force_convert_to_python` and used Arrow batch iteration, advancing the underlying state by a full Arrow chunk before yielding Python examples. ## Fix Only use Arrow batch iterati...
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value:fix: tolerate chmod PermissionError on flat-permission filesystems
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value:## Summary Fixes #8125. `Dataset.map()` (and the indices writer in `Dataset.flatten_indices` / `Dataset.select` path) calls `os.chmod(cache_file, 0o666 & ~umask)` on the freshly moved cache file. On flat-permission filesystems — GCS FUSE, S3 FUSE mounts, and similar object-storage-backed mounts — `chmod` raises...
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value:`.map()` on a streaming IterableDataset silently skips examples after load_state_dict
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value:### Describe the bug After `ds.map(fn)` on a streaming IterableDataset, saving state_dict() and loading it into a fresh dataset does not resume at the correct position. It jumps forward by up to one Arrow read-chunk (~1000 rows). ### Steps to reproduce the bug ```python from datasets import Dataset ds1 = Data...
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value:Add Apache TsFile packaged module and Time Series docs category
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value:CONTRIBUTOR
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value:## What does this PR do? Adds first-class support for the [Apache TsFile](https://tsfile.apache.org/) columnar time-series format (used by [Apache IoTDB](https://iotdb.apache.org/) and other time-series systems) to 🤗 Datasets, and surfaces time-series datasets as a dedicated modality in the documentation s...
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value:tag openclaw sessions via cwd in pi agent traces
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value:Tag OpenClaw datasets from Pi agent sessions. Will add a PR to add icon for it in moon too cc: @merveenoyan
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value:fix: replace list with Sequence in public API type hints
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value:Fixes #5354 Replaced `list` with `Sequence` in public API function signatures across: - `arrow_dataset.py` — from_csv, from_json, from_parquet, from_text - `iterable_dataset.py` — from_csv, from_json, from_parquet, from_text - `combine.py` — interleave_datasets, concatenate_datasets - `dataset_dict.py` —...
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value:Fix Image feature to dynamically select pyarrow storage type for large binary/string inputs
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value:Add dynamic pyarrow storage type selection to the Image feature so that pa.large_binary() and pa.large_string() inputs are preserved natively instead of being cast down to pa.binary() / pa.string() Introduce _get_target_pa_type() to detect large types from incoming storage and _to_struct_storage() to build struc...
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value:otherwise it raises an issue from transformers smh ``` ../../.pyenv/versions/3.12.2/envs/hf-datasets/lib/python3.12/site-packages/transformers/__init__.py:843: in _getattr return getattr(importlib.import_module(target, __name__), new_name) ../../.pyenv/versions/3.12.2/lib/python3.12/importlib/__init__.p...
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value:Bump the pinned doc-builder SHA so that main documentation builds also sync to the HF bucket (dual-write).
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value:Add Zarr dataset support: lazy array feature, folder builder, and store-as-table module
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value:## TL;DR This PR adds support for **plain Zarr** to `datasets`, split into three complementary pieces: 1. a new `Zarr` **feature** that stores only a path in Arrow and lazily opens the store on access (arrays only, by design — see "Design contract" below); 2. a **`zarrfolder`** packaged module that builds an in...
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value:Switch the PR doc upload flow from the legacy dataset push to the new HF bucket.
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value:use full repo-relative file path instead of filename for agent traces
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value:We want to include full path of the file so it's easier to fetch the full trace from repo - Store the full repo-relative path in `file_name` instead of just the basename - Extracts the path from the `hf://` origin URL set by the download manager Before: `file_name = "614b8d50-097f-4e36-aee0-1fdd05333...
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value:fix(Dataset.map): initialize writer on first non-None output instead of first index
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value:## What does this PR do? Fixes #7990 ## The Bug When a map function returns `None` for the first examples and a dict for later ones, `Dataset.map()` crashes with: AttributeError: 'NoneType' object has no attribute 'write' This happens because the ArrowWriter was initialized only when processin...
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value:datasets.to_list: Behaviour change in version 4.7.0 with the addition of JSON type
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value:### Describe the bug There is a change in the approach to decoding JSON types, added in https://github.com/huggingface/datasets/commit/d560b58e1f1ec96591a95a1780ee118f5eea6c74. Since 4.7.0, to_list() returns raw JSON strings for columns stored as Json(), while direct access via __getitem__ returns dicts. In ve...
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value:fix: mutable default argument in `_visit_with_path`
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value:Replace `visit_path: _VisitPath = []` with `Optional[_VisitPath] = None` to avoid the mutable default argument anti-pattern ([B006](https://docs.astral.sh/ruff/rules/mutable-argument-default/)). While the current callers always use `visit_path + [k]` (creating new lists), the shared default list is a latent bug ...
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value:`load_dataset()` hangs when `hf_xet` is enabled
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value:### Describe the bug Hi! I am getting a peculiar download issue on the latest versions of `datasets` and `hfh` where datasets hang indefinitely: ```py from datasets import load_dataset load_dataset("openai/gsm8k", "main", split="test") ``` Note that: - streaming=True works. - Direct Hub access works. ...
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value:Don't include files list DatasetInfo (and remove old stuff)
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value:this will fix the viewer when it saves the dataset info in mongo, for datasets with a lot of files this can make the mongo doc too big for mongo I also removed old deprecated stuff linked to files list like the old concept of "post-processing" and cleaned the checksum recording logic
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value:Support explicit harness field in agent traces
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value:Hi! This small PR allows an optional `harness` field to be parsed. When present, the harness field takes priority over type-value heuristics. This allows agents to self-identify even when they contain property names that collide with an existing harness ("session", "system", etc.)
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value:Fix batching for table-formatted datasets
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value:2026-04-10T13:14:00Z
value:## Summary Fix #8075 Fix `.batch()` on table-formatted `Dataset` and `IterableDataset`. Before this change, calling `.batch()` on datasets formatted as `pyarrow`, `pandas`, or `polars` could fail because the batching path assumed dict-like inputs. This updates batching to use an Arrow-based path for table-...
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value:Feature request: being able to disable chmod for flat permission filesystems
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value:### Feature request For flat permission file systems, `os.chmod` simply fails when trying to cache datasets - in some places such as: https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L4043-L4048 for arrow datasets. This seems to be optional to obtained desired behavior as simply c...
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value:fix: decode Json() values before calling DataFrame.to_json() (#8116)
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value:# Summary fixes (https://github.com/huggingface/datasets/issues/8116) Basically the issue is that if a dataset column uses Json() as a feature type, calling to_json() on that dataset causes a raw json escaped string to be exported, without decoding it first. ### root cause `to_json` exports feature values in...
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value:Fix Audio.cast_storage for CSV-loaded large_string columns
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value:## Summary This PR fixes `Audio.cast_storage()` so that audio path columns loaded as `large_string` can be cast to `Audio()` correctly. ## Motivation `Dataset.from_dict({"audio": [...]})` produces a `string` column and `cast_column("audio", Audio())` works, but `load_dataset("csv", ...)` produces a `large_st...
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value:Description: Multiple entries in the dataset have patches (test.patch and fix.patch) and f2p_patch fields with truncated content. The trailing blank lines that are part of valid unified diff format are stripped, causing git apply to fail with "corrupt patch" errors. Affected instances (confirmed): atlanhq_atlan-...
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value:`to_json()` serializes `Json()` feature as escaped string instead of native JSON object
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value:### Describe the bug When a dataset column uses the `Json()` feature type, calling `to_json()` writes the value as an escaped JSON string (e.g., `"{\"cat_a\":1,\"cat_b\":2}"`) instead of a native JSON object (e.g., `{"cat_a":1,"cat_b":2}`). This causes two problems: 1. The output JSON file is not interoperable...
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value:fix: preserve features in IterableDataset.add_column (fixes #5752)
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value:## Summary Fixes #5752. `IterableDataset.add_column()` lost the dataset's feature schema on every call because it delegated to `map()` without passing the `features` argument. `map()` unconditionally writes `info.features = features`, so the default `None` silently overwrote the existing schema. **Root cause**...
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value:## 🔒 Pin GitHub Actions to commit SHAs This PR pins all GitHub Actions to their exact commit SHA instead of mutable tags or branch names. **Why?** Pinning to a SHA prevents supply chain attacks where a tag (e.g. `v4`) could be moved to point to malicious code. ### Changes | Workflow | Action | Avant | Après ...
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value:Parse agent traces
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value:Supports claude_code, codex and pi JSON Lines files are parsed so one file = one row The resulting row has three fields: harness, session_id, traces, and file_name with features: ```python AGENT_TRACES_FEATURES = datasets.Features( { "harness": datasets.Value("string"), "session_i...
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value:fix: replace List with Sequence in type hints for public API functions (#5354)
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value:## Summary Fixes #5354 Replaces `list[X]` with `Sequence[X]` in function argument type annotations across the public API. `List` is invariant while `Sequence` is covariant, which means passing a `list` to a parameter typed as `List` causes mypy errors, even though lists are valid sequences. ## Chan...
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value:add sample_by="document" support for jsonl files
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value:With more agentic traces (_ie Claude Code / Codex / Pi etc_) being published to the Hub as JSONL files, it would be nice to easily support loading / viewing them in Dataset Viewer. Datasets like https://huggingface.co/datasets/cfahlgren1/agent-sessions contain one JSONL file per session. Without sample_by, ea...
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value:`set_format` resets features
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value:### Describe the bug Calling `dataset.set_format('...')` resets the informative features such as `Array2D` etc. back into `List(List(Value))` and so on. ### Steps to reproduce the bug ```py >>> dataset.features {'lld': Array2D(shape=(None, 26), dtype='float32')} >>> dataset.set_format('torch') >>> dataset.fea...
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value:docs: fix typos, grammar, and branding consistency across docs and source
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value:This commit addresses several documentation quality issues found across the repository — fixing typos, grammar errors, brand name inconsistencies, and adding modern tooling references for new contributors. ## Changes ### README.md - Fix duplicate word: "frameworks frameworks" → "frameworks" - Standardize ...
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value:Update WebDataset documentation link
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value:was failing for datasets with JSON files that are not JSON Lines and that contain one single multi-line JSON object like https://huggingface.co/datasets/evaleval/EEE_datastore
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value:ImportError: cannot import name 'VideoReader' from 'torchvision.io' when using datasets with torch format
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value:### Describe the bug For PyTorch 2.11 + torchvision 0.26.0 when using the datasets library and setting the format to "torch", an ImportError occurs because the datasets library attempts to import VideoReader from torchvision.io, but this object is not found in the installed torchvision version. **Error message*...
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value:fix https://github.com/huggingface/datasets/issues/8079 I also took the opportunity to improve the arrow logic to not have to do an unnecessary python -> arrow -> python in FormattedExamplesIterable when streaming webdatasets
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value:Fix docstring of `Json.cast_storage`. This PR makes a minor change to the `cast_storage` method in the `Json` feature, updating its return type and documentation to better reflect its intended functionality. * Updated the `cast_storage` method to return a `pa.JsonArray` instead of a `pa.Int64Array`, and rev...
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value:StepExamplesIterable._iter_arrow drops samples for non-zero ranks for single-sharded
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value:### Describe the bug As titled ### Steps to reproduce the bug Running following Python script: ``` """ Reproducer for HuggingFace datasets 4.x bug: StepExamplesIterable._iter_arrow drops samples for non-zero ranks when Arrow batches have size 1 (e.g. single-shard streaming WebDataset). Bug: split_dataset_by_...
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value:### Describe the bug Describe the bug Some files in the Dangindev/viet-cultural-vqa dataset fail to load via the Hugging Face datasets library. xet-hosted files load fine LFS-hosted files sometimes fail Example: Fails: https://huggingface.co/datasets/Dangindev/viet-cultural-vqa/blob/main/images/am_thuc/banh_c...
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value:The `.batch()` method currently assumes the input (batch) is always a dictionary, which causes errors when it isn't. This can happen with formatted datasets, since formats like `"pyarrow"`, `"pandas"` (only affects `IterableDataset`), and `"polars"` return tables/dataframes instead of dictionaries. For example: ...
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value:otherwise the it can't be converted to parquet related: https://github.com/apache/arrow/issues/9886
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value:fix regression from #8027 reported [internally](https://huggingface.slack.com/archives/C04BP5S7858/p1773661170461759) cc @gary149
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value:This PR ckumps a bunch of fixes across streaming, iterable datasets, and packaged modules, plus workflow/docs cleanups. A collection of fixes and long-overdue feature completions that kept getting pushed off as TODO(QL) comments. Nothing here is a dramatic architectural change, mostly things that were partiall...
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value:typing: accept sequences for Dataset file loaders
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value:## Summary - update `Dataset.from_csv`, `from_json`, `from_parquet`, and `from_text` type hints from `list[PathLike]` to `Sequence[PathLike]` - normalize non-string sequences to lists before passing paths to readers - add path-type tests to cover tuple input for all four loaders ## Why `list` is invariant for st...
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value:fix: avoid duplicate kwargs collisions in load_dataset_builder
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value:## Summary - avoid duplicate keyword collisions when `config_kwargs` overlap with module-provided `builder_kwargs` in `load_dataset_builder` - this fixes cases like passing `base_path=...` where `base_path` is already present in `builder_kwargs` - add a regression test using a local dataset directory to ensure ov...
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value:ARM audio support broken
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value:### Describe the bug `datasets` 4.0 moved to using `torchcodec` for audio datasets, which doesn't support ARM hardware under Linux and Windows ### Steps to reproduce the bug try: * Try to install `torchcodec` under Linux ARM64 or: * Try to install `torchcodec` under Windows ARM64 or, on either of those pla...
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value:Read (and write) from HF Storage Buckets: load raw data, process and save to Dataset Repos
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value:TODO: - [x] load_dataset("csv", data_files=["hf://buckets/..."]) - [x] load_dataset("buckets/...") - [x] Dataset.to_csv("hf://buckets/..."), to_json, to_parquet, etc. - [x] DatasetDict.push_to_hub("buckets/...") - [x] Dataset.push_to_hub("buckets/...") - [x] DatasetDict.push_to_hub("buckets/...") - [x] Ite...
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value:Fix formatted iter arrow double yield
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value:I (+Claude) noticed this when reading the code. I did not encounter this bug (I think) so I can't say much more about it. Perhaps the second iteration will immediately stop so the bug is harmless, but to be safe I think a return there is safer.
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value:Fix iterable dataset dict num proc shards
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value:If the number of shards for some split is lower than num_proc the IterableDatasetDict.push_to_hub will crash. This handling of num_proc is as close to identical as the handling in IterableDataset.push_to_hub
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value:This PR introduces 3D mesh support to the `datasets` library, mirroring the existing paradigms for Image, Audio, and Video modalities. this is made to support 3D data just like image, audio, etc... new `Mesh`feature class, which manages 3D data via a PyArrow `struct` containing both raw bytes and file paths. s...
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value:[Security] Zip/Rar/7z Archive Extraction Path Traversal (Incomplete CVE-2007-4559 Mitigation)
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value:## Security Vulnerability Report **Reporter:** Conner Webber (conner.webber000@gmail.com) **Severity:** HIGH (CVSS 3.1: 8.2) **CWE:** CWE-22 (Improper Limitation of a Pathname to a Restricted Directory) ## Summary The `ZipExtractor`, `RarExtractor`, and `SevenZipExtractor` classes in `datasets/utils/extract.py...
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value:This PR implements the solution suggested in #8037. It updates the features argument in IterableDataset.filter() to preserve existing features when ex_iterable.is_typed is True. This prevents the TypeError: 'NoneType' object is not a mapping from being raised when chaining multiple .filter() calls.
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value:Fixes #8038
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value:### Feature request In `datasets` library we have options to load `image` and `audio` datasets which can be viewed in the Dataset Viewer. LIKE: ```bash from datasets import load_dataset, Image from datasets import load_dataset, Audio ``` > https://huggingface.co/docs/datasets/en/image_load & https://huggingface...
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value:fix: handle nested null types in feature alignment for multi-proc map
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value:When using `Dataset.map()` with `num_proc > 1`, shards containing only empty lists get their features inferred as `List(Value('null'))`, which is incompatible with `List(Struct({...}))` from shards with actual data. The existing `_check_if_features_can_be_aligned` and `_align_features` only handled top-level `...
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value:`Dataset.map()` with `num_proc > 1` fails when some shards produce `List(Value('null'))` (empty lists)
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value:### Describe the bug When using `Dataset.map()` with `num_proc > 1`, if the map function produces a list column where some shards contain only empty lists `[]` and other shards contain non-empty lists of structs, the feature type inference is inconsistent across shards: - Shards with only empty lists → `List(Va...
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value:Write IterableDataset to parquet incrementally instead of materializing entire shard in memory
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value:`IterableDataset.to_parquet()` materialized the entire shard into memory via `pa.concat_tables(list(...))` before writing. For datasets with large shards and multiprocessing (push_to_hub with num_proc > 0) the memory requirements can be really large. This PR writes parquet incrementally by iterating Arrow bat...
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value:Fix silent data loss in push_to_hub when num_proc > num_shards
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value:## Summary When `num_proc` exceeds the number of output shards in `Dataset.push_to_hub`, workers without assigned output shards silently drop their data. The metadata still reports the correct dataset length (using `len(self[split])`), masking the data loss. This fix caps `num_jobs` at `num_shards` in `_p...
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value:Add features parameter to IterableDatasetDict.map
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value:IterableDataset.map accepts a features parameter to declare the output schema, but IterableDatasetDict.map did not expose it. This meant users of IterableDatasetDict had no way to preserve feature metadata through map operations.
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value:Fix schema enforcement in streaming _convert_to_arrow
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value:When the iter_arrow chain is broken (e.g. after .map() without with_format("arrow")), _convert_to_arrow falls back to pa.Table.from_pylist() which infers types from values. If early batches contain None or empty lists, Arrow infers null/list<null> types that conflict with later batches containing real data, causi...
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value:Use num_examples instead of len(self) for iterable_dataset's SplitInfo
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value:Fixes a bug (crash) when pushing individual splits to a repo which has pre-existing data.
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value:Typo in iterable_dataset.py
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value:### Describe the bug `streaming=True**kwargs,` should be `streaming=True, **kwargs,` https://github.com/huggingface/datasets/blob/81027be09d5cd9f06a6d64ef1a8a3e9ebd0f86fd/src/datasets/iterable_dataset.py#L2950 ### Steps to reproduce the bug ``` from Datasets import Dataset IterableDataset.from_csv("file.csv") ...
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